1. There are two career fairs held at a Catholic Chicago University.

1. Fill in the not-hired counts for each fair.

2. Do the samples meet the Success-Failure Conditions?

3. What are the proportions of hired students for each fair?

4. What are the individual standard errors for hired students?

5. What is the difference of proportions of hired students between the two fairs?

6. What is the joint standard error of the two fairs?

7. What is the z-score associated with 90 confidence interval?

8. Compute the confidence interval for this difference of proportions.

1. Which fair should a student attend?

Write a C++ program that reads a file consisting of students’ test scores
in the range 0–200. It should then determine the number of students
having scores in each of the following ranges: 0–24, 25–49, 50–74,
75–99, 100–124, 125–149, 150–174, and 175–200. Output the
score ranges and the number of students. (Run your program with the
following input data: 76, 89, 150, 135, 200, 76, 12, 100, 150, 28,
178, 189, 167, 200, 175, 150, 87, 99, 129, 149, 176, 200, 87,
35, 157, 189.)

Which of these situations fit the conditions for using Bernoulli​ trials? Explain. ​a) You are rolling 8 dice and need to get at least three 1s to win the game. ​b) We record the distribution of home states of customers visiting our website. ​c) A committee consisting of 8 men and 12 women selects a delegation of 5 to attend a professional meeting at random. What is the probability they choose all​ women? ​d) A study found that 58​% of M.B.A. students admit to cheating. A business school dean surveys all the students in the graduating class and gets responses in which cheating was admitted by 322 of 549 students.

A beverage company target market includes: local organizations, the island university as well as different universities in the Caribbean region, supermarkets, retail companies and different companies in the region through exportation. Jason is seeking to obtain data to introduce a new Malt beverage to the Market. This data will be obtained through the use of a survey distributed to the Local University students. However, he found these students to be non-cooperative at times and wondered whether the data supplied was fudged.

Question. State:

i) Potential Reasons for Non-corporations from students

ii) Potential Reasons why Jason was left to wonder whether the data supplied was fudged

A study was done to look at the relationship between number of lovers college students have had in their lifetimes and their GPAs. The results of the survey are shown below.

Lovers5506508

GPA1.71.83.22.22.43.60.8

Find the correlation coefficient: r=r=    Round to 2 decimal places.

The null and alternative hypotheses for correlation are:
H0:H0: ? r ρ μ  == 0
H1:H1: ? r μ ρ   ≠≠ 0
The p-value is:    (Round to four decimal places)

Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.

There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers.

There is statistically significant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers.

There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful.

There is statistically insignificant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the use of the regression line is not appropriate.

r2r2 =  (Round to two decimal places)

Interpret r2r2 :

There is a 86% chance that the regression line will be a good predictor for GPA based on the number of lovers a student has had.

Given any group of students who have all had the same number of lovers, 86% of all of these studetns will have the predicted GPA.

There is a large variation in students' GPAs, but if you only look at students who have had a fixed number of lovers, this variation on average is reduced by 86%.

86% of all students will have the average GPA.

The equation of the linear regression line is:   
ˆyy^ =  + xx   (Please show your answers to two decimal places)

Use the model to predict the GPA of a college student who as had 3 lovers.
GPA =  (Please round your answer to one decimal place.)

Interpret the slope of the regression line in the context of the question:

The slope has no practical meaning since a GPA cannot be negative.

For every additional lover students have, their GPA tends to decrease by 0.29.

As x goes up, y goes down.

Interpret the y-intercept in the context of the question:

The best prediction for the GPA of a student who has never had a lover is 3.45.

The average GPA for all students is predicted to be 3.45.

If a student has never had a lover, then that student's GPA will be 3.45.

The y-intercept has no practical meaning for this study.

A study of identity theft looked at how well consumers protect themselves from this increasingly prevalent crime. The behaviors of 61 college students were compared with the behaviors of 59 nonstudents. One of the questions was "When asked to create a password, I have used either my mother's maiden name, or my pet's name, or my birth date, or the last four digits of my social security number, or a series of consecutive numbers." For the students, 24 agreed with this statement while 29 of the nonstudents agreed. (a) Display the data in a two-way table. Students Nonstudents Total Agreed 24 Correct: Your answer is correct. 29 Correct: Your answer is correct. 53 Correct: Your answer is correct. Disagreed 37 Correct: Your answer is correct. 30 Correct: Your answer is correct. 67 Correct: Your answer is correct. Total 61 Correct: Your answer is correct. 59 Correct: Your answer is correct. 120 Perform the chi-square test. (Round your χ2 to three decimal places and round your P-value to four decimal places.) χ2 = 2.221 Incorrect: Your answer is incorrect. df = 1 Correct: Your answer is correct. P-value = 0.1362 Incorrect: Your answer is incorrect. Summarize the results. We cannot conclude at the 5% level that students and nonstudents differ in the response to this question. We can conclude at the 5% level that students and nonstudents differ in the response to this question. Correct: Your answer is correct. (b) Reanalyze the data using the methods for comparing two proportions that we studied in the previous chapter. Compare the results and verify that the chi-square statistic is the square of the z statistic. (Test students who agreed minus nonstudents who agreed. Round your z to two decimal places and round your P-value to four decimal places.) z = 1.49 Incorrect: Your answer is incorrect. P-value = 0.1362 Incorrect: Your answer is incorrect. (c) The students in this study were junior and senior college students from two sections of a course in Internet marketing at a large northeastern university. The nonstudents were a group of individuals who were recruited to attend commercial focus groups on the West Coast conducted by a lifestyle marketing organization. Discuss how the method of selecting the subjects in this study relates to the conclusions that can be drawn from it.

Your data science experiment now requires four additional data tasks. The first task is to use the list append method to add to the list variable named btcdec1 the BTC price of 14560. The second task is to create a new list with a variable named btcdec2 and append the btc prices of 15630, 12475, and 14972. The third task required you to use the list extend method to add the contents of the list in variable name btcdec2 into the variable name btcdec1. The fourth and final task requires you to use the list sort method in the list named btcdec1 to sort the items in the newly extended list, then use the print statement to output the content of list btcdec1 into the Python console.

Anecdotal evidence has suggested that a specific type of oral contraceptive pill puts women at greater risk for blood clots. Researchers decide to examine this scientifically by starting a prospective cohort study. They enroll women between the ages of 15 and 45 who are using this type of oral contraceptive pill as well as similar women who are not using this contraceptive pill. At baseline none of the women had ever had a blood clot. Then they follow these study participants for 5 years, following up with them once a year to determine if they suffered from a blood clot. At the end of 5 years the researchers report the following information: Out of a total of 6000 women that were taking the oral contraceptive of interest, 575 had reported blood clots. Of the 7000 women not taking the oral contraceptive of interest, 250 reported a blood clot.

A. Create an appropriate 2x2 table for this data. (Fill out the chart)

B. Calculate the relative risk of having a blood clot for women taking the oral contraceptive pill in question compared to those not taking the contraceptive pill in question (show steps).

C. Assume that this RR is significant. What does this RR mean (be specific using the context of this study)?

State Retirement Funding

A state retirement plan has been frozen. It is considered fully funded, with $635,244,352.26 of assets on hand and makes payouts to 1,000 recipients. It assumes it will earn 7.5% per year on these assets. The most recent total payout was $50,000,000. Next year it will be $51,000,000, which includes a 2% COLA increase in benefits. This payout amount is scheduled to increase by 2% per year for inflation. All interest earned and payments occur at the end of the year. For this cohort of retirees, the final payment will be made in exactly22 years from today. The fund balance at that time will be zero.

The effective rate for annuities like this is RATE = [(1+growth)/(1+Inflation)]-1=0.0539216.

The PV was calculated as =PV(RATE,22,-50000000,0,0)

A) Create an amortization table that shows the pension is fully funded.

B) Suppose that instead of 7.5% the assets earn 5% per year. By how much is the pension under-funded assuming the 2% COLA adjustment continues.

C) At a 5% growth rate what total annual payments can the original asset balance support for 22 years with no inflation adjustment? i.e., the same amount each year.

D) Given the initial balance of $635,244,352.26 and assuming a 2% COLA increase ever year, what initial payment can be made to beneficiaries?

Write a program using C to read a list of your friend names which ends by the word end. The program builds a linked list using these names and prints the names in the order stored into the linked list The list can be created using insertion at the beginning or insertion at the end; Use switch case to select the type of insertion;

Case 1:insertion in the beginning;

Case2:insertion in the end.

Once the list is printed after insertion; count the total number of names(nodes) in the link list and then,remove the name from the list (entered by the user at run time) and then print the list and count of nodes.