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2. State the Null and Alternate hypotheses. Calculate y and interpret the p-value. Candy Skittles Reeses Milk Duds Boys 30 17

Please show work! thanks!

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Answer #1

Solution:

Here, we have to use chi square test for independence of two categorical variables.

Null hypothesis: H0: The type of candy and gender of child are independent.

Alternative hypothesis: Ha: The type of candy and gender of child are not independent.

We assume level of significance = α = 0.05

Test statistic formula is given as below:

Chi square = ∑[(O – E)^2/E]

Where, O is observed frequencies and E is expected frequencies.

E = row total * column total / Grand total

We are given

Number of rows = r = 2

Number of columns = c = 3

Degrees of freedom = df = (r – 1)*(c – 1) = 1*2 = 2

α = 0.05

Critical value = 5.991465

(by using Chi square table or excel)

Calculation tables for test statistic are given as below:

Observed Frequencies

Candy

Child

Skittles

Reeses

Milk Duds

Total

Boys

30

17

3

50

Girls

9

20

1

30

Total

39

37

4

80

Expected Frequencies

Candy

Child

Skittles

Reeses

Milk Duds

Total

Boys

24.375

23.125

2.5

50

Girls

14.625

13.875

1.5

30

Total

39

37

4

80

Calculations

(O - E)

5.625

-6.125

0.5

-5.625

6.125

-0.5

(O - E)^2/E

1.298077

1.622297

0.1

2.163462

2.703829

0.166667

Chi square = ∑[(O – E)^2/E] = 8.054331

P-value = 0.017825

(By using Chi square table or excel)

P-value < α = 0.05

So, we reject the null hypothesis

There is not sufficient evidence to conclude that the type of candy and gender of child are independent.

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