In a state, 50,000 students graduated from four-year not for profit colleges in 2019. Out of these 50,000 graduates, 20,000 students graduated from private colleges, and 30,000 students graduated from public colleges. You have selected a stratified sample from the population of 2019 graduates in this state with graduates from private and public colleges as the two strata. For each graduate in your sample, you recorded how much student debt, if any, the graduate carried at graduation. The results are as follows: (1) Private college graduates: n1 = 400, X-bar-1 = 33,000, s1 = 15,000 (2) Public college graduates: n2 = 100, X-bar-2 = 26,400, s2 = 6000 2(a) At a 99% level of confidence, test the null hypothesis that the total debt of the 20,000 private college graduates, combined, did not exceed $600,000,000. 2(b) At a 99% level of confidence, test the null hypothesis that the average debt of a private college graduate did not exceed the average debt of a public college graduate by more than $5000.

The Survey of Study Habits and Attitudes (SSHA) is a psychological test that measures the motivation, attitude toward school, and study habits of students. Scores range from 0 to 200. A selective private college gives the SSHA to an SRS of both male and female first-year students. The data for the women are as follows: 154 109 137 115 152 140 154 178 101 103 126 126 137 165 165 129 200 148 Here are the scores of the men: 108 140 114 91 180 115 126 92 169 146 109 132 75 88 113 151 70 115 187 104 Most studies have found that the mean SSHA score for men is lower than the mean score in a comparable group of women. Is this true for first-year students at this college? Use a 1% significance level

(a) Hypotheses and results:

(b) Draw a picture and label p-value and horizontal axis:

(c) Draw a conclusion. Don’t just accept or reject. Say what it means in terms of this problem.

Write a research paper in Management Information Systems (MIS) assist management in manipulating business data, developing reports for business analysis and decision support for business operations. Students should prepare a research paper discussing the business aspects utilizing management information systems. The written assignment should follow APA formatting style. Audience: Undergraduate -level business students. Topics for writing research papers: Students are asked to select any one of the following title for the assignment.

1. The use of information systems for management of epidemics in war-torn areas- a systematic review.

2. The implications of Big Data Analytics and the role of Management Information system in the UAE online education center- review from literature.

3. The challenges faced with diagnostic imaging- literature on Radiology Information Systems and the limitations that need to be overcome.

4. A systematic review of the supporting function of Information systems towards Corporate Integrated Reporting in the UAE.

5. Exploring the efficacy of e-Government models through Information systems management- the case of emerging economies.

I need a python program and a flowchart please!!

Problem #1:    How much should I study outside of class?

            Issue:

Your fellow students need help. This is their first year in college and they need to determine how many hours they need to study to get good grades.

Study Hours Per Week Per Class                    Grade

15                                                           A

12                                                           B

9                                                             C

6                                                             D

0                                                             F

Project Specifications:

1. The user enters their full name and the number of credits they are taking.
2. The user will then enter the grade they want assuming the same grade for all classes.
3. The program displays for each student: student’s name, number of credits, total number of weekly study hours, and grade they should expect to receive. In the following format –

Name: FirstName LastName

Credits: 12

Study Hours: 60

Grade: A

4. At the end of the program, the program displays the total number of students who used the program, the average credits taken, and the average study hours. In the following format –

Total Students: 3

Average Credits: 9

Average Study Hours: 20

Dr. Paddock is a counseling psychologist who is interested in decreasing adjustment issues in first-year college students. She is curious if having students create collages of their first few weeks of school and then mailing them home will help students feel they have integrated their new life with their old and, as a result, will help them feel less homesick. She samples a group of 100 incoming college freshmen at her university and measures how homesick they are during the first week of school. During Week 4 of school, she has them make the collage and send it home. During Week 7 of school, she measures their homesickness again. She notices a significant reduction in the amount of homesickness from the pretest to the posttest and concludes that her treatment is effective. Imagine in Dr. Paddock’s study that only 90 of the original participants completed the measure of homesickness during Week 7 (10 participants had left the university and were unavailable). What kind of threat to internal validity does this pose? How does this affect her conclusion that her treatment for homesickness worked?

The Study of Instructional Improvement (SII; Hill, Rowan, and Ball, 2004) was carried out by researchers at the University of Michigan to study the math achievement scores of first- and third-grade students in randomly selected classrooms from a national U.S. sample of elementary schools.

Using the information above answer the following question using excel and show work.

1.

• Analyze Classroom data         
  • Describe the relationship between the dependent variable and independent variable
  • Run the appropriate test and you’re your conclusion
  • Give a report resuming your findings

Format:

A data frame with 1190 observations on the following 12 variables.

a. sex

: Indicator variable (0 = boys, 1 = girls)

b. minority

: Indicator variable (0 = non-minority students, 1 = minority students)

c. mathkind

: Student math score in the spring of their kindergarten year

d. mathgain

: Student gain in math achievement score from the spring of kindergarten to the spring of first grade (the dependent variable)

e. ses

: Student socioeconomic status

f. yearsteach

: First grade teacher years of teaching experience

Mr Lim is a tuition teacher. He is deciding how many hours to teach each day and how much to charge for his tuition. Each hour of lecture leaves him fatigued, which is equivalent to a cost of $40 per hour to him. He has two students A and B with demand curves as follows:

Student A: PA= 72 - 8Q

Student B: PB = 56 - 4Q where Q is the number of hours he teaches.

(i) If he can teach only one student per hour, obtain the market demand curve for his tuition from the two students. If he wishes to maximise social welfare, how many hours of tuition should he teach? Discuss.

(ii) Suppose that he can broadcast his tuition online, so that both students can listen to his tuition at the same time and consumption is nonrivalrous. Obtain the market demand curve. What is the socially optimal number of hours of tuition he should provide? Discuss.

2018-Jan Q4b

A guidance counselor claims that high school students in a college preparation program have higher ACT scores than those in a general program. The sample mean ACT score for 49 high school students who are in a college preparation program is 22.2 and the sample standard deviation is 4.8. The sample mean ACT score for 44 high school students who are in a general program is 20.0 and the sample standard deviation is 5.4.  

Use an 8% level of significance to conduct test the guidance counselor’s claim. Assume the distribution of ACT scores for both programs are approximately normally distributed. Assume that σ_{college prep}² ‡ σ_general² .  

H₀:                                                                                      Level of significance (α):   α =         

H_A:                                                                                     Type test:     two-tailed    left tail      right tail

Specify the random variable and distribution to be used in this hypothesis test.

Calculate the p-value                                                          Draw a graph and show the p-value

Show your work and any calculator functions used.

Compare the p-value with α                             Decide to Reject or Fail to reject the null hypothesis                   

Conclusion. State your results in non-technical terms.

10. In a study conducted to determine whether the role that sleep disorders play in academic performance, researcher conducted a survey of 1800 college students to determine if they had a sleep disorder. Of the 500 students with a sleep disorder, the mean GPA was 2.51 with a standard deviation of 0.85. Of the 1300 students without a sleep disorder, the mean GPA is 2.85 with a standard deviation of 0.78. Test the claim that sleep disorder adversely affects one’s GPA at the 0.05 level of significance?

11. In one experiment, the participant must press a key on seeming a blue screen and reaction time (in seconds) to press the key is measured. The same person is then asked to press a key on seeing a red screen, again with reaction time measured. The results for six randomly sampled study participants are as follows:

Participant

1

2

3

4

5

6

Blue

0.582

0.481

0.841

0.267

0.685

0.450

Red

0.408

0.407

0.542

0.402

0.456

0.522

Construct a 99% confidence interval about the population mean difference. Assume the differences are approximately normally distributed.

Problem 4. Consider a simple solar system that contains one star (mass M) and one planet (mass m) in a circular orbit with radius r. The planet orbits at speed v. (v can be computed in terms of G, M, m, and r using Kepler’s 3rd Law and/or Newton’s Law of Gravitation.) Due to conservation of momentum, as the planet changes its velocity vector, the star’s velocity vector will also change. Astronomers can detect a star’s changing velocity from its spectral lines and infer the presence of a planet. (This is called the ‘radial velocity’ method for exoplanet detection.) (a) What is the difference in the planet’s momentum, ∆~p, from one point on its orbit to the opposite point? Assume that the planet moves in the ±x-direction at these two points. You can leave your answer in terms of v, the orbital speed of the planet. (b) Briefly explain why the momentum of the planet is not constant, but the momentum of the star plus the momentum of the planet IS constant. (c) Relative to v, what is the maximum speed of the star during the orbit of the planet? Assume we are in the ‘center of momentum’ frame of reference, where the total momentum of the system is zero. (d) Plug in numbers to find the speed of our Sun induced by the orbit of Earth. (This is a bit artificial, since Jupiter has a much bigger effect, but just to get a sense of the size of the numbers. . . ) The Sun has MSun = 2 × 1030 kg, and Earth has mEarth = 6 × 1024 kg and orbits at r = 1 AU = 1.5 × 1011 m. (e) Plug in numbers to find the speed of the star Gliese 581 induced by the orbit of its planet, Gliese 581 e, which is the least massive exoplanet detected so far using the radial velocity method. Gliese 581 has M = 0.31MSun, and Gliese 581 e has m = 2.5mEarth and orbits at r = 0.028 AU. (f) We detected Gliese 581 e by measuring its star’s change in velocity; could (hypothetical) alien astronomers on Gliese 581 e plausibly detect Earth using the same method and same equipment?