Null Hypothesis and Student

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Run a chi-square test for goodness of fit on the variable "Year," testing whether there are equal numbers of STA 250 students in all the represented class years. Copy and paste your output to a Word document and type your answers to the following questions below:

Chi-Square Test

Frequencies

Observed N

Expected N

Residual

Freshman

Sophomore

Junior

Senior

Total

Test Statistics

Chi-Square

df

Asymp. Sig.

0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 13.8.

How many students would we expect to see in each of the represented class years if the null hypothesis is true?

How many students do we actually see in each class year? Freshman: 2, Sophomore: 23, Junior: 20, Senior

Is there a statistically significant difference between the distribution of students in the sample and the null hypothesis that there are equal numbers of STA 250 students in each of the represented class years? Write a sentence using the proper format.

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The difference is statistically significant because p < .05

Task 2. Run a chi-square test for independence on the variables "Section" (Student Data Section) and "Bornnyc," testing whether there is a statistically significant association where a student was born and what data section they were in. Put Section in columns and Bornnyc in rows. Request column percentages, the chi-square and phi and Cramer's V statistics. Copy and paste your output to a Word document and type your answers to the following questions below:

Crosstabs

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Are you originally from New York City? * Student Data Section

56

98.2%

1

1.8%

57

Are you originally from New York City? * Student Data Section Crosstabulation

Student Data Section

Total

Current

Past

Are you originally from New York City?

No

Count

6

12

18

% within Student Data Section

22.2%

41.4%

32.1%.....

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