Question

The Office of Institutional Research at UP would like to examine the age distribution of the student population. The office would like to determine whether the distribution of ages for a sample is different from the distribution of ages for the student population. A sample of students is selected and the relative frequencies for the age categories are as follows for the sample and the population: Age group: 18-20 Sample: Population: 27 a) State the null and alternative hypotheses in symbolic and text forms b) Compute the Chi-square. c) Draw conclusions at the 0.05 level of significance. 10· Over 30 21-24 42 30 29 18 26
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Answer #1

I have used Minitab software

Steps

  1. Enter the data   Worksheet 1 C1-T C2 C3 C4 C5 Сб Age 18-2021-24 25-29 over 30 1 sample 2 population 42 18 27 30 26 17
  2. Stat-table-Chi square test for association
  3.   Chi-Square Test for Association Summarized data in a two-way table Columns containing the table: 18-20 21-24 25-29 over 30 Labels for the table (optional) Rows: Age Columns: column (column with row labels) (name for column category) Select Statistics Options C14 Cancel Help OK
  4. ok

output

Welcome to Minitab, press Fl for help Chi-Square Test for Association: Age, column Rows: Age Columns: column over 18-20 21-24 25-29 30 All 18 22 sample 7 100 30 36 12 27 30 30 36 population 26 17 100 22 12 All 72 44 24 200 Count Expected count Cell Contents: Pearson Chi-Square 8.221, DF3, P-Value0.042 Likelihood Ratio Chi-Square= 8.370, DF= 3, P-Value= 0.039

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a)

The null hypothesis H0:Age distribution is same

The alternative hypothesis:H1:The age distribution is different

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b)Chi square=8.2

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c) As p-value is less than 0.05 we reject the null hypothesis and conclude that the age distribution of sample is different from age distribution of popuplation.

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