IN C#

Create classes: Person, Student, Employee, Professor, Staff and Address

1. ☐ Address class must have suitable auto-implemented properties for Address 1, Address 2 and City.
2. ☐ Person class must have suitable auto-implemented properties for Name, Residence (type Address) and email.
3. ☐ Student and Employee must be subclasses of Person.
4. ☐ Employee must be a super class for Professor and Staff.
5. ☐ Employee class must have suitable auto-implemented properties for salary (between 2000 to 8000), and hire date.
6. ☐ Professor class must have suitable auto-implemented properties for office hours and rank (use enum, e.g. Assist. Prof., Assoc. Prof., etc.)
7. ☐ Staff class must have auto-implemented property for a designation (use enum, e.g. Office Assistance, Clerk, etc.)
8. ☐ All classes must have suitable constructor(s) and making use of super class constructors as applicable.
9. ☐ Override the ToString method in each class to return the class name and all other information in one/single line (use string interpolation and use base class ToString as applicable)

In the Main Method, create three Lists for (Student, Staff, and Professor) with hard-coded data for at least 4 entries each.

Implement the menu driven CONSOLE logic as:

Press 1 to modify Student

Press 2 to modify Staff

Press 3 to modify Professor

Press 0 to exit program

☐ Console application must have a hierarchy of above-shown menus and run continuously until the person quits the application

☐ For Search (required to find and update) must use LINQ.

Suppose a study determines that the amount of time that college students on a given campus work out each week changes from university to university. You are intrigued by this and randomly interview 60 BU students. You find that the average weekly gym time is 3 hours, and the standard deviation is 1 hour.

i. Is the sample mean normally distributed? Why or why not?  

ii. Your friend thinks the average gym time for Boston University students is equal to 2.5 hours. Test their hypothesis at a 5 percent significance level. Be sure to clearly state the null hypothesis, the rejection region, and your conclusion.

iii. Calculate the p-value. Offer a range if you can't obtain the exact value.

Suppose now you do know that the population standard deviation is 1.

iv. Find the 90 percent confidence interval for the population mean. State the general formula, fill in the appropriate values, and determine the exact boundaries of the interval. [20 points]

An article in the October 11, 2006, issue of the Washington Post claimed that 15% of high school students used cursive writing on the essay portion of the SAT exam in the academic year 2005-2006 (Pressler, 2006). Suppose you take a random sample from those exams and see what proportion of the sample used cursive writing for the essay. Assume the sample size is 180 do the following:

• A -- Determine what π and N are.
• B -- Describe the sampling distribution.
• C -- Show that the CLT holds.
• D -- What does the CLT say about the sampling distribution?
• E -- What is the probability of obtaining a sample where more than half of the students wrote their essay in cursive?
• F -- What is the probability of obtaining a sample where between 10 and 25% wrote their essay in cursive?
• G -- What is the probability of obtaining a sample where less than 12% of the students wrote their essay in cursive?

A schoolteacher is concerned that her students watch more TV than the average American child. She reads that according to the American Academy of Pediatrics (AAP), the average American child watches 4 hours of TV per day (μ = 4.0 hours). She records the number of hours of TV each of her six students watch per day. The times (in hours) are 2.7, 4.8, 4.4, 2.4, 4.1, and 5.6.

(a) Test the hypothesis that her students watch more TV than the average American child using a 0.05 level of significance and a one-independent sample t-test. State the value of the test statistic. (Round your answer to three decimal places.)
t =  

(a) State the decision to retain or reject the null hypothesis.

Retain the null hypothesis.

Reject the null hypothesis.    

(b) Compute effect size using estimated Cohen's d. (Round your answer to two decimal places.)
d =

Researchers wanted to know whether there was a difference in comprehension among students learning a computer program based on the style of the text. They randomly divided 36 students of similar educational level, age, and so on, into two groups of 18 each. Group 1 individuals learned the software using a visual manual (multimodal instruction), while Group 2 individuals learned the software using a textual manual (unimodal instruction). The following data represent scores that the students received on an exam given to them after they studies from the manuals. Is there a difference in test scores at significance level 0.05? (Independent Means)

Conditional Probability

Problem 1 Conditional probability

In group of 200 university students, 140 are full time students (80 females and 60 males) and 60 no full time students (40 females and 20 males).

Let

   M=event a student is male

   W=event a student is a female

   F=event a student is full time

   F^C= event a student is not full time

1) Find the probability that a student is male and full time   

2) Find the probability that a student is male and is not full time   

3) Find the probability that a student is female and full time

4) Find the probability that a student is female and not full time   

5) Find complete the following   

Table1.1: Joint probability table for full time student

6) Find the conditional probabilities   

      6.1)the probabilities of full time for a male student   

      6.2) the probabilities of full time for a female student

Consider the following relational schema:

student(studID, studname, major, advisor)

department(deptname, major)

club(studID,clubname)

professor(profID, profname, building, deptname)

NOTE: KEY ATTRIBUTES ARE IN BOLD

where advisor takes values in the domain of professor names (profname) and

the underline attributes form the primary key of the corresponding relations.

Questions:

1. State any assumptions you might make.
2. Write the relational algebra for the following queries:

2.a. Find all students and their advisors.

2.b. Find all the students who are in any one of the clubs that Jamie Smith is in.

2.c. Find all of the advisors, their buildings and departments that advise students that

are in the same clubs that Jamie Smith participates into.

2.d. Find all professors names and their departments that have offices in the

buildings identified in query 2c.

2.e. Find all student names and their major(s) that participate in Computer Science

Association Club.

Large Sample Proportion Problem. A survey was conducted on high school marijuana use. Of the 2266 high school students surveyed, 970 admitted to smoking marijuana at least once.  A study done 10 years earlier estimated that 45% of the students had tried marijuana. We want to conduct a hypothesis test to see if the true proportion of high school students who tried marijuana is now less than 45%.   Use alpha = .01.
What is the conclusion for this test?

A university official wishes to determine whether the degree of the instructor is related to the students’ opinion of the quality of instruction received. A sample of students’ evaluations of various instructors is selected, and the data in the table below are obtained. At a = 0.10, can the officials conclude that the degree of the instructor is related to the opinions of the students about the instructor’s effectiveness in the class?

1. Identify the appropriate test. Why do you consider this test to be the most appropriate for analyzing this study?

2. State the hypotheses.    

3. Find the critical value (s).

4. Compute the test value and the p-value.

5. Make a decision and summarize your findings.

6. Discuss any differences in the opinion rating for B.S., M.S., and Ph.D. instructors.

7. What assumptions were made in completing this test?

In this section you have discussed taking samples. For this post you will plan how you will take a sample. At NCSU there are approximately 31,000 students and about 7,000 faculty and staff. We would like to compare the cars of students with those of faculty/staff. Specifically we would like to determine if the average mileage (odometer reading NOT MPG)  for students’ cars is higher than that of faculty/staff cars. To answer this question we need to collect a sample of cars from each group. In this post you should explain how you would carry out this sample. The sample should consist of 200 subjects with at least 100 subjects from each group. You should explain how you will select this sample and how you would collect the information. You should be complete but you should also be concise. Explain the important details that may be relevant. Your post should be approximately 2 to 4 paragraphs.