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Jamovi is a free program, it is required to read the data sets attached in order to answer question 1 and 3.i have attemepted to answer some of the question but please review and answer to your ability. Please show all work

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THE CALIFORNIA TEST SCORE DATA SET

The California Standardized Testing and Reporting (STAR) dataset contains data

on test performance, school characteristics and student demographic backgrounds. The

data used here are from all 420 K-6 and K-8 districts in California with data available for

1998 and 1999. Test scores are the average of the reading and math scores on the

Stanford 9 standardized test administered to 5th grade students. School characteristics

(averaged across the district) include enrollment, number of teachers (measured as fulltime-equivalents), number of computers per classroom, and expenditures per student.

The student-teacher ratio used here is the number of full-time equivalent teachers in the

district, divided by the number of students. Demographic variables for the students also

are averaged across the district. The demographic variables include the percentage of

students in the public assistance program CalWorks (formerly AFDC), the percentage of

students that qualify for a reduced price lunch, and the percentage of students that are

English Learners (that is, students for whom English is a second language). All of these

data were obtained from the California Department of Education (www.cde.ca.gov).

Series in Data Set:

DIST_CODE:

DISTRICT CODE;

READ_SCR:

AVG READING SCORE;

MATH_SCR:

AVG MATH SCORE;

COUNTY :

COUNTY;

DISTRICT:

DISTRICT;

GR_SPAN:

GRADE SPAN OF DISTRICT;

ENRL_TOT :

TOTAL ENROLLMENT;

TEACHERS:

NUMBER OF TEACHERS;

COMPUTER:

NUMBER OF COMPUTERS;

TESTSCR:

AVG TEST SCORE (= (READ_SCR+MATH_SCR)/2 );

COMP_STU:

COMPUTERS PER STUDENT ( = COMPUTER/ENRL_TOT);

EXPN_STU:

EXPENTITURES PER STUDENT ($S);

STR:

STUDENT TEACHER RATIO (ENRL_TOT/TEACHERS);

EL_PCT:

PERCENT OF ENGLISH LEARNERS;

MEAL_PCT:

PERCENT QUALIFYING FOR REDUCED-PRICE LUNCH;

CALW_PCT:

PERCENT QUALIFYING FOR CALWORKS;

AVGINC:

DISTRICT AVERAGE INCOME (IN $1000’S);

1. Use the College Athletics data on Cougars Courses to answer the following questions.

a. What are the sample averages of the number of applicants for schools who did not play in a

bowl game the previous year and those who did play in a bowl game the previous year?

b. Is there a difference in the population in the average number of applicants for schools who

played in a bowl game versus those that did not? Show your Jamovi output.

c. Using a simple OLS regression, what is the effect of student-faculty ratio on the number of

applicants?

d. Interpret the effect of student-faculty ratio on applications that you found in part c.

e. Interpret the R2 from the regression you estimated in part c.

2. You use a random sample of 1,002 individuals and estimate the following OLS model

?????????? = 10.6 + 1.2 ? ?????????????????

Where wage is measured in dollars per hour and schooling is measured in the number of years

of education. You have also calculated TSS = 8,000 and SER = 2.00.

a. The sample average for years of schooling is 12. What is the sample average for wage?

?????????? = 10.6 + 1.2 ? ?????????????????

?????????? = ?????? ???????? = 10.6 + (1.2) ? 12 = 25

If schooling = 12, then

Sample avg for wage = 25

b. What is R2?

??????

???2

SER = ?

SSE = (SER)² (N-2)

= 2² * 1000

=4000

R² = 1

R² = 0.5

??????

??????

=1-

4000

8000

= 0.5

3. Use the CA School data on Cougars Courses. Provide the Jamovi output along with your

answers to the following questions.

a. You are asked by the Department of Education to determine the effect of reduced-price lunch

on test scores. What is the estimated effect from the sample of data?

Descriptives

654.157 + 44.705 =698.862

N

Mean

SD

meal_pct

420

44.705

27.123

testscr

420

654.157

19.053

698.862 / 2 = 349.431

b. Do you believe your results are useful for policy (can you use the results to suggest a

change that may improve test scores)? Why, or why not?

c. Interpret the R2 from your regression.

College Athletics Data

The data are school-level data for schools competing in NCAA Division 1 Athletics.

Obs:

1.

2.

3.

4.

5.

6.

7.

8.

9.

118

year

apps

top25

ver500

mth500

stufac

bowl

btitle

finfour

1992 or 1993

# applics for admission

perc frosh class in 25th high sch percen

perc frosh >= 500 on verbal SAT

perc frosh >= 500 on math SAT

student-faculty ratio

= 1 if bowl game in prev year

= 1 if men’s cnf chmps prev year

= 1 if men’s final 4 prev year

Purchase answer to see full

attachment

Explanation & Answer:

2 Questions

Tags:

economics

Econometrics

JAMOVI

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