#  Description  Question  

14075  What are three potential research questions that could be studied using that survey? Determine if your research questions would be quantitative or qualitative. State your hypotheses for each question you develop in question /accompanying hypothesis format.  Test and measurements  
14051 
Please finish the attached four questions by 7am Nov 7. I am willing to pay forty dollars. Question 1 A hotel wants to determine a 99% confidence interval for the average daily occupancy of its rooms. It wants the interval to be no more than plus or minus 5 room. a) How many days should be sampled to construct this interval if σ=12 rooms per day? b) How many days should be sampled to construct this interval if σ=10 rooms per day? c) In 30 words or less, explain why the number of days changes from part 1 to part b. Question 2 Suppose the FDA receives complaints that Pepsi is not putting 2000 ml of soda in its two liter bottles. If the claim is true, the FDA will fine Pepsi. To test the claim, the FDA selects a random sample of 64 twoliter bottles of Pepsi and measures their volume. This data provides a sample mean of 1994 ml and a sample standard deviation of 32 ml. Recognize that even if some change that the FDA's random sample will produce a sample mean is less from 2000 ml; rather the FDA must use statistics and determine how many standard deviations 1994 is from 2000, assuming Pepsi actually does put 2000 ml into each bottle on average. Notice that statistical testing gives the benefit of the doubt to Pepsi. Letting μ be the amount of product Pepsi puts into each twoliter bottle on average, the FDA's hypotheses are H0: μ = 2000 Ha: μ ≠ 2000 Notice that the FDA will never conclude that μ = 2000, but rather it may simply fail to reject that μ is equal to 2000. a) Is there statistical evidence to fine Pepsi? Suppose the FDA's wants to test the claim with 95% confidence. b) Suppose the FDA increases its standard to 99% confidence. Test the null hypothesis at the 1 percent significance level. Question 3 The college bookstore tells prospective students that the average cost if its textbooks is $52 with a standard deviation of $4.50. A group of smart statistics students thinks that the average cost is more than $52. In order to test the bookstore's claim against their alternative, the student will select a random sample of 100 students. Assume that the mean from their random sample is $52.80. Test the hypothesis at the 5% level of significance and state your decision. Question 4 A social justice activist group believes a particular judge imposes sentences, not in line with the standard practices. In particular, it is well accepted that the average sentence should be 5 years. The activist group collect data on 75 different cases for the judge in question. The data reveals a sample mean of 7.2 years with a sample standard deviation of 3.8 years. The activist group wants to test if the judge's average sentence is in line with standard practice. Thus. the hypotheses the group has in mind are: H0: μ=5 H0: μ≠5 The activist group is willing to use 90% confidence interval to test the null hypothesis against the alternative hypothesis. Carry out the test. What is the conclusion?

STATs homework  
14047 
Finish the attached two page pdf. Question 1 A hotel wants to determine a 99% confidence interval for the average daily occupancy of its rooms. It wants the interval to be no more than plus or minus 5 room. a) How many days should be sampled to construct this interval if σ=12 rooms per day? b) How many days should be sampled to construct this interval if σ=10 rooms per day? c) In 30 words or less, explain why the number of days changes from part 1 to part b. Question 2 Suppose the FDA receives complaints that Pepsi is not putting 2000 ml of soda in its two liter bottles. If the claim is true, the FDA will fine Pepsi. To test the claim, the FDA selects a random sample of 64 twoliter bottles of Pepsi and measures their volume. This data provides a sample mean of 1994 ml and a sample standard deviation of 32 ml. Recognize that even if some change that the FDA's random sample will produce a sample mean is less from 2000 ml; rather the FDA must use statistics and determine how many standard deviations 1994 is from 2000, assuming Pepsi actually does put 2000 ml into each bottle on average. Notice that statistical testing gives the benefit of the doubt to Pepsi. Letting μ be the amount of product Pepsi puts into each twoliter bottle on average, the FDA's hypotheses are H0: μ = 2000 Ha: μ ≠ 2000 Notice that the FDA will never conclude that μ = 2000, but rather it may simply fail to reject that μ is equal to 2000. a) Is there statistical evidence to fine Pepsi? Suppose the FDA's wants to test the claim with 95% confidence. b) Suppose the FDA increases its standard to 99% confidence. Test the null hypothesis at the 1 percent significance level. Question 3 The college bookstore tells prospective students that the average cost if its textbooks is $52 with a standard deviation of $4.50. A group of smart statistics students thinks that the average cost is more than $52. In order to test the bookstore's claim against their alternative, the student will select a random sample of 100 students. Assume that the mean from their random sample is $52.80. Test the hypothesis at the 5% level of significance and state your decision. Question 4 A social justice activist group believes a particular judge imposes sentences, not in line with the standard practices. In particular, it is well accepted that the average sentence should be 5 years. The activist group collect data on 75 different cases for the judge in question. The data reveals a sample mean of 7.2 years with a sample standard deviation of 3.8 years. The activist group wants to test if the judge's average sentence is in line with standard practice. Thus. the hypotheses the group has in mind are: H0: μ=5 H0: μ≠5 The activist group is willing to use 90% confidence interval to test the null hypothesis against the alternative hypothesis. Carry out the test. What is the conclusion?

Statistic Homework  
13988  Statistics Description: Discrete Probability Distributions Read the following scenario and complete each of the four problem sets below: Suppose the distribution below represents the probability of a person to make a certain grade in Chemistry 101, where x = the letter grade of the student in the class (A=4, B=3, C=2, 0=1, F=O). 1. Is this an example of a valid probability distribution? Explain your answer. 2. Determine the probability that a student selected at random would make a C or higher in Chemistry 101. 3. Determine the mean and standard deviation of the grade distribution. 4. Make a NEW table that shows only the probability of students passing or failing (i.e. receiving an F) Chemistry 101. 5. "A professor has 30 students in his or her Chemistry 101 course and wants to determine the probability that a certain number of these 30 students will pass his or her course." Does this represent a binomial experiment? Explain your answer. 6. Based on the Pass/Fail table, what is the probability that 24 of the 30 students enrolled in Chemistry 101 during the spring semester will pass the course? 7. Determine the mean and standard deviation of the data in the Pass/Fail table. WK3 WS2 Nominal Probability Read the following scenario and complete each of the four problem sets below: A. Use the ztable to determine the following probabilities. Sketch a normal curve for each problem with the appropriate probability area shaded. 1. P(z > 2.34) 2. P(z < 1.56) 3. P(z = 1.23) 4. P(1.82 < z < 0.79) 5. Determine the zscore that corresponds with a 67% probability. B. Read the following scenario: Park Rangers in a Yellowstone National Park have determined that fawns less than 6 months old have a body weight that is approximately normally distributed with a meanµ = 26.1 kg and standard deviation a = 4.2 kg. Let x be the weight of a fawn in kilograms. Complete each of the following steps for the word problems below: •Rewrite each of the following word problems into a probability expression, such as P(x>30). •Convert each of the probability expressions involving x into probability expressions involving z, using the information from the scenario. •Sketch a normal curve for each z probability expression with the appropriate probability area shaded. •Solve the problem. 1. What is the probability of selecting a fawn less than 6 months old in Yellowstone that weighs less than 25 kilograms? 2. What is the probability of selecting a fawn less than 6 months old in Yellowstone that weighs more than 19 kilograms? 3. What is the probability of selecting a fawn less than 6 months old in Yellowstone that weighs between 30 and 38 kilograms? 4. If a fawn less than 6 months old weighs 16 pounds, would you say that it is an unusually small animal? Explain and verify your answer mathematically. 5. What is the weight of a fawn less than 6 months old that corresponds with a 20% probability of being randomly selected? Explain and verify your answer mathematically.  Statistics  
13984 
Discrete Probability Distributions Read the following scenario and complete each of the four problem sets below: Suppose the distribution below represents the probability of a person to make a certain grade in Chemistry 101, where x = the letter grade of the student in the class (A=4, B=3, C=2, 0=1, F=O). 1. Is this an example of a valid probability distribution? Explain your answer. 2. Determine the probability that a student selected at random would make a C or higher in Chemistry 101. 3. Determine the mean and standard deviation of the grade distribution. 4. Make a NEW table that shows only the probability of students passing or failing (i.e. receiving an F) Chemistry 101. 5. "A professor has 30 students in his or her Chemistry 101 course and wants to determine the probability that a certain number of these 30 students will pass his or her course." Does this represent a binomial experiment? Explain your answer. 6. Based on the Pass/Fail table, what is the probability that 24 of the 30 students enrolled in Chemistry 101 during the spring semester will pass the course? 7. Determine the mean and standard deviation of the data in the Pass/Fail table. WK3 WS2 Nominal Probability Read the following scenario and complete each of the four problem sets below: A. Use the ztable to determine the following probabilities. Sketch a normal curve for each problem with the appropriate probability area shaded. 1. P(z > 2.34) 2. P(z < 1.56) 3. P(z = 1.23) 4. P(1.82 < z < 0.79) 5. Determine the zscore that corresponds with a 67% probability. B. Read the following scenario: Park Rangers in a Yellowstone National Park have determined that fawns less than 6 months old have a body weight that is approximately normally distributed with a meanµ = 26.1 kg and standard deviation a = 4.2 kg. Let x be the weight of a fawn in kilograms. Complete each of the following steps for the word problems below: •Rewrite each of the following word problems into a probability expression, such as P(x>30). •Convert each of the probability expressions involving x into probability expressions involving z, using the information from the scenario. •Sketch a normal curve for each z probability expression with the appropriate probability area shaded. •Solve the problem. 1. What is the probability of selecting a fawn less than 6 months old in Yellowstone that weighs less than 25 kilograms? 2. What is the probability of selecting a fawn less than 6 months old in Yellowstone that weighs more than 19 kilograms? 3. What is the probability of selecting a fawn less than 6 months old in Yellowstone that weighs between 30 and 38 kilograms? 4. If a fawn less than 6 months old weighs 16 pounds, would you say that it is an unusually small animal? Explain and verify your answer mathematically. 5. What is the weight of a fawn less than 6 months old that corresponds with a 20% probability of being randomly selected? Explain and verify your answer mathematically. 
Statistics  
13976 
about 50 questions total and a 15 question quiz all multiple choice dealing with probabilties and related statitstics material 
Statistics 111 homework mymathlab  
13975 
about 50 questions total and a 15 question quiz all multiple choice dealing with probabilties and related statitstics material 
Statistics 111 homework mymathlab  
13973  15 questions over statistics dealing with dice probabilities and card deck questions,pascals triangle and permutations email me asap, due the 7th at 11 pm central time  Math 111 15 question quiz 3 attempts  
13952 
stattistics for prof stan only as discussed

STATISTICS  
13855 
Written Assignment 12
NAME:
POINTS:
/18
1. (3 points) A student scored
670
on the mathematics part of the SAT. For that par
ticular exam, the distribution of the scores was normal with mean
514
and standard
deviation
118
. Find the
z
score of this student.
2. Consider the following set of numbers
98 59 67 68 63 7 93 63 94 17
78 76 15 78 67 46 43 39 82 96
89 27 98 46 21 19 91 77 99 82
(a) (3 points) Find the fivenumber summary for this block of numbers.
(b) (3 points) Construct a boxandwhiskers plot (boxplot) of the data.
3. (3 points) The heights of women aged
20
to
29
in the United States are approximately
normally distributed with mean
64
:
2
inches and standard deviation
2
:
8
inches. What
is the probability that a womon is taller than
68
inches (
5
foot
8
inches)?
4. (3 points) The heights of men aged
20
to
29
in the United States are approximately
normally distributed with mean
69
:
4
inches and standard deviation
3
:
0
inches. What
is the probability that a man is shorter than
72
inches (
6
foot even)?
5. (3 points) The generic fruit fly is the most studied organism in genetic research be
cause it is small, is easy to grow, and reproduces rapidly. The length of the thorax
(where the wings and legs attach) in a population of male fruit flies is approximately
Normal with mean
0
:
800
millimeters and standard deviation
0
:
0078
millimeters. What
proportion of male fruit flies have thorax length between
0
:
6
mm and
0
:
9
mm?

z score problems / statistics  
13844 
message me for login details it is online PROFSTAN 
Need one math problem done  
13837 
Only five questions all only have one part and are relatively easy. Need it done by tomorrow at 4 PM central time thats why the high price im willing to pay. need numbers 37 completed i already have the first two done thank you 
Probabilities  
13825 
POINTS: /21
1. Use a truth table to determine if the following arguments are valid or invalid. If the argument is not valid, determine which lines of the table fail to be true. (a) (3 points)
If it is raining, I will need to pack an umbrella.
I do not pack an umbrella
Therefore, it is not raining.
(b) (3 points)
If my daughter goes on a date, I will constantly text her.
If my daughter doesn’t go a date, she will do her homework.
I constantly text on my daughter.
My daughter didn’t do her homework.
2. (3 points) Consider only the smallest individual cube and assume solid stacks. Determine the number of cubes in each stack that are not visible from the perspective show:
3. (3 points) The high school math club consists of four people: Paul, Rachael, Ryan, Emily. Using a tree diagram, list all the possible ways to elect a president, vicepresident, and treasurer, assuming each student can only be elected to one position.
4. (3 points) Consider the workers Fred, Michael, Edith, Sam, Wilma, and Vicky. Their boss needs to select two of them to perform a certain task. Using a product table, list all the possible ways the boss could pick two people to perform the task. Hint: The two people must be distinct, and the order in which they are chosen doesn’t matter.
5. (3 points) Count number of 8character license plates containing the letters A, B, C, D, E and digits 09 if the first two characters have to be letters, the third through seventh characters have to be digits, and last character can either be an odd digit or a vowel. Repetition of letters and numbers is allowed.
6. (3 points) A hockey team consists of six players: a center, two wings, two defense, and one goalie. How many teams are possible from a pool of 15 people, assigning each person to a specific position?
7. (3 points) A urn contain 3 red balls, 4 blue balls, and 5 yellow balls. If you pick six balls from the urn and don’t replace them, how many ways are there to pick 1 red ball, 2 blue balls, and 3 red balls? 
Truth Table and Tree diagram, and product tables only 7 questions,,,,,,due tomorrow by 3 pm Central Time EASY MONEY  
13822  1. Using a neat diagram identify a Bayesian network that can be used to identify if a patient is affected by diabetes (50 points). (Hint: The Bayesian network diagram could be developed using MS Visio or IHMC CMap Tools, a freely downloadable tool) 2. Using an example explain how Bayesian networks could be used to implement personalized medicine in terms of drug selection and dosing. (30 Points) 3. Using an example explain how rules and expressions can be used to provide alerts on drug usage for an individual patient. (20 points)  Neat Diagram Bayesian Belief  
13809 
Due in week 10 and worth 30 points
Suppose that there are two (2) candidates (i.e., Jones and Johns) in the upcoming presidential election. Sara notes that she has discussed the presidential election candidates with 15 friends, and 10 said that they are voting for candidate Jones. Sara is therefore convinced that candidate Jones will win the election because Jones gets more than 50% of votes.
Answer the following questions in the space provided below: 1. Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion? Why or why not? 2. How many friend samples Sara should have in order to draw the conclusion with 95% confidence interval? Why? 3. How would you explain your conclusion to Sara without using any statistical jargon? Why?
Type your answers below and submit this file in Week 10 of the online course shell: 
Homework Assignment 9  
13808  See message. Need the excel too  Assignment 9 business statistics Profstan  
13806 
Name___________________________________
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Determine whether the set is well defined.
Identify the set as finite or infinite.
A) {Tuesday, Thursday} B) {Sunday, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday} C) {Sunday, Monday, Tuesday, Wednesday, Thursday, Friday, Sunday} D) {Saturday, Sunday}
Tell whether the statement is true or false. If false, give the reason.
1
A) False; 17 is an element of the set. B) False; 17 is smaller than the elements of the set. C) True D) False; 17 is a set.
Find n(A) for the set.
Determine whether the sets are equal, equivalent, both, or neither.
Let A = {1, 3, 5, 7} B = {5, 6, 7, 8} C = {5, 8} D = {2, 5, 8} U = {1, 2, 3, 4, 5, 6, 7, 8}. Determine whether the statement is true or false. 16) C D A) False; C is not a subset of D. B) False; D is a subset of C. C) False; the elements are the same in C and D. D) True
17) D B A) False; the elements are the same. B) True C) False; the elements are not the same. D) False; the sets must have the same number of elements.
18) A {7, 5, 3, 1}
A) False; A has different elements than those listed. B) True C) False; the elements in A are in a different order. D) False; the elements in A are the same as those listed.
Use , , , or both and to make a true statement.
11)
12) D) n(A) = 2000
13) D) n(A) = 4
14) D) Equal
15) D) Neither
16)
17)
18)
19)
D)
20)
D) and
2
List all subsets or determine the number of subsets as requested.
A) {bear, dog}, {bear, sheep}, {dog, sheep}, {bear}, {dog}, {sheep} B) {bear, dog, sheep}, {bear, dog}, {bear, sheep}, {dog, sheep}, {bear}, {dog}, {sheep}, { } C) {bear, dog}, {bear, sheep}, {dog, sheep}, {bear}, {dog}, {sheep}, { } D) {bear, dog, sheep}, {bear, dog}, {bear, sheep}, {dog, sheep}, {bear}, {dog}, {sheep}
If the statement is true for all sets C and D, write "true." If it is not true for all sets C and D, write "false." Assume that C
A) B)
Let U = {all soda pops}, A = {all diet soda pops}, B = {all cola soda pops}, C = {all soda pops in cans}, and D = {all caffeinefree soda pops}. Describe the set in words. 28) A B 28) A) All diet cola soda pops B) All diet or all cola soda pops C) All diet and all cola soda pops D) All soda pops
3
A) All soda pops not in cans B) All diet and all cola and all caffeinefree soda pops C) All diet, caffeinefree cola soda pops D) All diet, caffeinefree cola pops in cans
Use the Venn diagram to list the set of elements in roster form.
Let U = {q, r, s, t, u, v, w, x, y, z} A = {q, s, u, w, y} B = {q, s, y, z} C = {v, w, x, y, z}. Determine the following.
4
B = {2, 4, 8} C = {2, 8, 10, 12}
A) B)
5
Use the Venn diagram shown to list the set in roster form.
Use Venn diagrams to determine whether the following statements are equal for all sets A and B.
6
90 were interested in an interview show and a documentary, but not reruns. 12 were interested in an interview show and reruns but not a documentary 42 were interested in reruns but not an interview show.
72 were interested in an interview show but not a documentary. 30 were interested in a documentary and reruns. 18 were interested in an interview show and reruns. 24 were interested in none of the three.
How many are interested in exactly one kind of show?

Statistics practice questions  
13805 
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Use the method of Gauss to find the sum.
1
Determine what the next equation would be, and verify that it is indeed a true statement.
15) 14 + 41 = 55 15)
15 + 51 = 66
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Use problem solving strategies to solve the problem.
19) A rabbit grows so that every 2 months it doubles in weight. However, the rabbit will never go over 19) 75 pounds. If a bunny is born on July 15th, weighing 2 pounds, in which month will it weigh 46
pounds?
A) August B) February C) April D) July
2
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
3
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
Determine whether the statement is true or false.
Let A = {1, 3, 5, 7}
B = {5, 6, 7, 8}
C = {5, 8}
D = {2, 5, 8}
U = {1, 2, 3, 4, 5, 6, 7, 8}
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
4
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Jose. Denoting these four people by e, f, g, j, list all possible committees of two people (ie list all possible subsets of size two).
A) {e, f}, {e, g}, {f, g}, {g, j}
B) {e, f}, {e, g}, {e, j}, {f, j}, {g, j}
C) {e, f}, {e, g}, {e, j}, {f, g}, {f, j}, {g, j}, {f, e}, {g, e} D) {e, f}, {e, g}, {e, j}, {f, g}, {f, j}, {g, j}
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
List the elements in the set .
Let U = {q, r, s, t, u, v, w, x, y, z}
A = {q, s, u, w, y}
B = {q, s, y, z}
C = {v, w, x, y, z}.
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Tell whether the statement is true or false.
56) (11, 9) = (9, 11) 56)
A) True B) False
5
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
For the given sets, construct a Venn diagram and place the elements in the proper region.
59) Let U = {c, d, g, h, k, u, q} 59) A = {d, h, g, q}
B = {c, d, h, u}
A = {3, 6, 8}
B = {4, 6}
C = {1, 6, 7, 8}
6
Find n(A ∪ B).
Find n(A' ∩ B' ∩ C)
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
255 were interested in an interview show and a documentary, but not reruns.
34 were interested in an interview show and reruns but not a documentary.
119 were interested in reruns but not an interview show.
204 were interested in an interview show but not a documentary.
85 were interested in a documentary and reruns.
51 were interested in an interview show and reruns.
68 were interested in none of the three.

MATH 1630  
13790 
Bussiness statistic see mail for full question
Use the date in table above and answer the following questions in the space provided below:

Assignment 2 for prostan only  
7898 
I am unable to post all of the questions on here but they're due tomorrow and I don't have time to do them. There are 16 questions. 
WileyPlus Homework  
7535 
I need help with project. It needs to be about 12 pages. Details below: 
STATSDUPREE CASE/PROJECT  
7534 
problem should be solved with excel and consist some explanation s described below. An optimization model about logistics and transportation
Y=a+bx For cost
Monet Inc., is a small company that designs, produces, and sells ski jackets and other coats. The creative design team has labored for weeks over its new design for the coming winter season. It is now time to decide how many ski jackets to produce involved, no other production runs will be possible during the season. Predicting ski jacket sales months in advance of the selling season can be tricky. Monet has been in operation for only 3 years, and its ski jacket designs were quite successful in 2 of those years. Based on realized sales from the last 3 years, current economic conditions, and professional judgment, 12 Monet employees have independently estimated demand for their new design for the upcoming season. Their estimates are listed in table 1.
To assist in the decision on the number of units for the production run, management has gathered the data in table 2. Note that S is the price Egress charges retailers. Any ski jackets that do not sell during the season can be sold by Monet to discounters for V per jacket. The fixed cost of plant and equipment is F. This cost is incurred irrespective of the size of the production run. Table 2: Monetary Values
Questions:
Students should explain their ideas by characterizing the modeling process as a sevenstep procedure:
implement and evaluate recommendations
Table 1: estimated demands
Table 2: Monetary Values

Decision making techniques in excel  
7509 
1.Determine the total area under the standard normal curve in parts (a) through (c) below. (a)Find the area under the normal curve to the left of z= 2 plus the area under the normal curve to the right of z=2 2.Find the Zscore such that the area under the standard normal curve to the left is 0.96
3.Find the Zscores that separate the middle 15% of the distribution from the area in the tails of the standard normal distribution The Z scores are ____ 4.Assume the random variable X is normally distributed with mean= 50 and standard deviation = 7. Compute the probability 5.Assume that the random variable X is normally distributed, with mean= 53 and standard deviation = 7. Compute the probability P(45≥X)= ______ (Round to four decimal places) 6.Assume the random variable X is normally distributed with mean= 50 and standard deviation= 7. Compute the probability. 7.Assume the random variable X is normally distributed, with mean = 41 and standard deviation = 6. Find the 5^{th}percentile. The 5^{th} percentile is _______ (Round to two decimal places) 8.The mean incubation time for a type of fertilized egg kept at 100.1 degrees Fahrenheit is 19 days. Suppose that the incubation times are approximately normally distributed with a standard deviation of 1 day. (a)What is the probability that a randomly selected fertilized egg hatches in less than 17 days? (b)What is the probability that a randomly selected fertilized egg takes over 21 days to hatch? (c) What is the probability that a randomly selected fertilized egg hatches between 18 and 19 days? (d)Would it be unusual for an egg to hatch in less than 17.5 days? Why? 9.The number of chocolate chips in an 18ounce bag of chocolate chip cookies is approximately normally distributed with mean 1252 and a standar deviation 129 chips. (a)What is the probability that a randomly selected bag contains between 1000 and 1400 chocolate chips? (b)What is the probability that a randomly selected bag contains fewer than 1100 chocolate chips? (c) What proportion of bags contains more than 1175 chocolate chips? (d)What is the percentile rank of a bag that contains 1450 chocolate chips? 10.The mean incubation time of fertilized eggs is 22 days. Suppose the incubation times are approximately normally distributed with a standard deviation of 1 day. (a)Determine the 11^{th} percentile for incubation times (b)Determine the incubation times that make up the middle 95% 11.The number of chocolate chips in a bag of chocolate chip cookies is approximately normally distributed with mean 1261 and a standard deviation of 117. (a)Determine the 28^{th} percentile for the number of chocolate chips in a bag (b)Determine the number of chocolate chips in a bag that make up the middle 97% of bags. 12.The time required for an automotive center to complete an oil change service on an automobile approximately follows a normal distribution, with a mean of 15 minutes and standard deviation of 3 minutes. (a)The automotive center guarantees customers that the service will take no longer than 20 minutes. If it does take longer, the customer will receive the service for halfprice. What percent of customers receive the service for halfprice? (Round to two decimal places as needed) (b)If the automotive center does not want to give the discount to more than 3% of its customers, how long should it make the guaranteed time limit?(Round up to the nearest minute) 
Stats Mcqs  
7488 

Assignment 2: Linear Regression  
7476 
Exhibit 9.12, which lists 30 monthly excess returns to two different actively managed stock portfolios (A and B) and three different common risk factors (1, 2, and 3). (Note: You may find it useful to use a computer spreadsheet program (e.g., Microsoft Excel) to calculate your answers.) EXHIBIT 9.12 MONTHLY EXCESS RETURN DATA FOR TWO PORTFOLIOS AND THREE RISK FACTORS
QUESTION

EXHIBIT REGRESSION  
7475 
All statistical calculations will use Employee Salary Data Set.

Problem Set Week One  
7470 
Chisquare tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chisquare tests? What would these results tell you? 
Chisquare tests are great to show if distributions differ or if two variables interact in producing outcomes.  
7468 
Multiple regression analysis is widely used in business research in order to forecast and predict purposes. It is also used to determine what independent variables have an influence on dependent variables, such as sales. Sales can be attributed to quality, customer service, and location. In multiple regression analysis, we can determine which independent variable contributes the most to sales; it could be quality or customer service or location. Now, consider the following scenario. You have been assigned the task of creating a multiple regression equation of at least three variables that explains Microsoft’s annual sales. Use a time series of data of at least 10 years. You can search for this data using the Internet.
Submit your answers in a two to threepage Word document 
Assignment 2: Correlation, simple linear, and Multiple Regression Analysis  
7463 
Describe how many hours do you spend at work every day. Collect data one day so you have can have at least 10 observations, preferably more. Choose one variable, and then collect 10 days worth of data on that one variable. 
Stats data collection and analysis  
7461 
p.230, p 4 In two separate studies, the actual difference between the means of a treated group and untreated group is 3 points. However, in one study, the σ is very large M1M2 and so the 3 points is not found to be significant. In the other study, the σ M1M2 is very small and so the 3 points id found to be significant. What might have caused this big difference in the σ for the two studies? M1M2 p.231, p8 In the study of the effect of a new drug on the alleviation of asthma symptoms, the σM for symptom relief in the patient group that received the new drug is 1.45, and the σM for symptom relief in the group that did not receive the new drug 1.22. Calculate σ M1M2
p.241, p2 A large furniture store stations salespeople near its entrance to greet customers and offer assistance in shopping. The salespeople, who work commission basis, tell the customer their name and hand them a business card. A psychologist thinks that the salesperson’s intrusiveness might cause customers to buy less furniture rather than more furniture. She convinces the store’s management to let her study the issue. Customers are randomly selected to either receive or not receive a salesperson’s offer assistance immediately on entering the store. The amount of customers’ purchases are then logged as they leave the store. Here is the data
Amount of Purchase, in U.S. Dollars Immediate Assistance No Assistance Unless Requested
2,274 0
362 0 855 84 0 0 0 672 1,273 0
State whether the investigator used independent samples, repeated measures, or matched samples:
The following data are from a study of aggression in 40 children (20 pairs) after viewing either violent film or an educational film. Participants were first matched on gender and their typical aggression level. Here are participants’ scores on the aggression test given after viewing the film. Higher scores indicate more aggression.
Pair Violent Film Educational Film 1 26 18 2 24 12 3 18 14 4 27 22 5 19 13 6 14 15 7 24 20 8 12 9 9 21 12 10 15 18 11 11 7 12 23 27 13 23 14 14 18 8 15 17 20 16 12 12 17 25 17 18 28 20 19 13 10 20 22 14
Calculate t and compare it with the onetailed critical t at the .01 a level. Did the children who viewed the violent film show significantly more aggression?
TwoSample T Test Think about a study you would like to explore in our future or current career that could be analyze with a twosample t test. To help design the study, answering the following:
 Is it an independent group t test matched groups t test or repeated measures t test, and why?  What is the independent variable?  What is the dependent variable?  What do you expect to find if you ran the study? List this out both in statistical language (feel free to make up some number for the results) as well as realworld language. 
Stats Week 7 a 