A random sample of 22 students’ weights is drawn from student population. Investigate whether the average weight of student population is different from 140 lb. 135 119 106 135 180 108 128 160 143 175 170 205 195 185 182 150 175 190 180 195 220 235 State the null and alternative hypothesis (Ho and Ha). What are the n,X ̅, s? Compute the t-statistic. What is the degree of freedom (df)? Find P-value from the table-D. Test the hypothesis at the significance level α=0.05. Reject Ho or Ha? Why? What conclusion can you make about the mean weight of students? Construct 95% Confidence Interval for the students’ mean weight. What value for t* should you use? Find the t* value from table-D. Do the calculation for the 95% Confidence Interval. Based on the 95% Confidence Interval from i), what conclusion can you make about the hypothesis in a)? Why?

(Answer all the questions and in a word document plz)

The PACE project at the University of Wisconsin in Madison deals with problems associated with high-risk drinking on college campuses. Based on random samples, the study states that the percentage of UW students who reported bingeing at least three times within the past two weeks was 42.2% in 1999 (n = 334) and 21.2% in 2009 (n = 843). Test that the proportion of students reporting bingeing in 1999 is different from the proportion of students reporting bingeing in 2009 at the 10% significance level.

-A two-sided test with zcrit = -1.645 and 1.645.

-n 1 = n 1999 = 334

-n 2 = n 2009 = 843

-p ^ 1 = p ^ b i n g e 1999 = 0.422

-p ^ 2 = p ^ b i n g e 2009 = 0.212

A) Calculate the appropriate test statistic. What is the standard error?

B) What is the test statistic value?

C) Calculate the corresponding p-value from the appropriate table.

D) Construct a 90% confidence interval around the difference-in-proportions estimate. Lower bound and upper bound values?

Almost all medical schools in the United States require students to take the Medical College Admission Test (MCAT). To estimate the mean score μ of those who took the MCAT on your campus, you will obtain the scores of an SRS of students. The scores follow a Normal distribution, and from published information you know that the standard deviation is 10.4 . Suppose that, unknown to you, the mean score of those taking the MCAT on your campus is 500 .

In answering the questions, use z‑scores rounded to two decimal places.

(a) If you choose one student at random, what is the probability that the student's score is between 495 and 505 ? Use  Table A, or software to calculate your answer.

(Enter your answer rounded to four decimal places.)

probability:

(b) You sample 25 students. What is the standard deviation of the sampling distribution of their average score ¯x ? (Enter your answer rounded to two decimal places.)

standard deviation:

(c) What is the probability that the mean score of your sample is between 495 and 505 ? (Enter your answer rounded to four decimal places.)

probability:

Almost all medical schools in the United States require students to take the Medical College Admission Test (MCAT). To estimate the mean score ?μ of those who took the MCAT on your campus, you will obtain the scores of an SRS of students. The scores follow a Normal distribution, and from published information you know that the standard deviation is 10.810.8 . Suppose that, unknown to you, the mean score of those taking the MCAT on your campus is 495495 .

In answering the questions, use ?z‑scores rounded to two decimal places.

(a) If you choose one student at random, what is the probability that the student's score is between 490490 and 500500 ? UseTable A, or software to calculate your answer.

(Enter your answer rounded to four decimal places.)

probability:

(b) You sample 3636 students. What is the standard deviation of the sampling distribution of their average score ?¯x¯ ? (Enter your answer rounded to two decimal places.)

standard deviation:

(c) What is the probability that the mean score of your sample is between 490490 and 500500 ? (Enter your answer rounded to four decimal places.)

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