Question

A social scientist wants to determine whether preference of tea or coffee is independent of gender. She randomly selects 100 people and gathered the data summarized in the table below. Observed Frequencies: GENDER DRINK Male Female Total Tea 25 35 60 Coffee 5 35 40 Total 30 70 100 Fill the below table of Expected Frequencies: GENDER DRINK Male Female Total Tea 60 Coffee 40 Total 30 70 100 Calculate the Chi-square test statistic: What is the cut-off value if ? = 0.025: What is your conclusion:

          A social scientist wants to determine whether preference of tea or coffee is independent of gender. She randomly selects 100 people and gathered the data summarized in the table below.
Observed Frequencies:

GENDER
DRINK Male Female Total
Tea 25 35 60
Coffee 5 35 40
Total 30 70 100

Fill the below table of Expected Frequencies:
GENDER
DRINK Male Female Total
Tea 60
Coffee 40
Total 30 70 100

Calculate the Chi-square test statistic:
What is the cut-off value if ? = 0.025:
What is your conclusion:

A social scientist wants to determine whether preference of tea or coffee is independent of gender. She randomly selects 100 people and gathered the data summarized in the table below.
Observed Frequencies:

GENDER
DRINK Male Female Total
Tea 25 35 60
Coffee 5 35 40
Total 30 70 100

Fill the below table of Expected Frequencies:
GENDER
DRINK Male Female Total
Tea 60
Coffee 40
Total 30 70 100

Calculate the Chi-square test statistic:
What is the cut-off value if ? = 0.025:
What is your conclusion:

Added by Melissa Y.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Joshua Argo

06/06/2022

Step 1

For the category Tea and Male: (100 * 100) / 150 = 66.67 For the category Tea and Female: (100 * 50) / 150 = 33.33 For the category Coffee and Male: (50 * 100) / 150 = 33.33 For the category Coffee and Female: (50 * 50) / 150 = 16.67 ** Show more…

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A social scientist wants to determine whether preference of tea or coffee is independent of gender. She randomly selects 100 people and gathers the data summarized in the table below: Observed Frequencies: GENDER Male Female Total DRINK Tea Coffee Total Expected Frequencies: GENDER Male Female Total DRINK Tea Coffee Total Calculate the Chi-square test statistic: What is the cut-off value if a = 0.025? What is your conclusion?