Chi Ap Stats

Does the data give evidence of an association between gender and soft drink choice?

• Yes, we reject the null hypothesis.

• No, we fail to reject the null hypothesis

• No, we reject the null hypothesis.

• Yes, we fail to reject the null hypothesis.

• Cannot be determined because the large counts condition is not met.

The degrees of freedom for the chi-square test for this two-way table are

• 4

• 8

• 10

• 20

• 4876

The appropriate null hypothesis for performing a chi-square test is that

• equal proportions of female and male teenagers are almost certain they will be married in 10 years.

• there is no difference between the distributions of female and male teenagers' opinions about marriage in this sample.

• there is no difference between the distributions of female and male teenagers' opinions about marriage in the population.

• there is no association between gender and opinion about marriage in the sample.

• there is no association between gender and opinion about marriage in the population.

The bigger the chi square statistic, the ________ the p value.

• bigger

• smaller

A random sample of traffic tickets given to motorists in a large city is examined. The tickets are classified according to the race of the driver. The results are summarized in the table provided. Assuming H₀ is true, the expected number of Hispanic drivers who would receive a ticket is

• 10.4

• 11

• 11.8

• 12

Find the degrees of freedom.

• 4

• 5

• 6

• 7

Which test would you use to see if age is a factor choosing a person’s favorite fruit? 900 college students were surveyed and their favorite fruit recorded.

• Chi-square Goodness of Fit Test

• Correlation coefficient

• Chi-Square Test for Independence

• Chi-square test for correlation

A chi-square test is used to test whether a 0 to 9 spinner is "fair" (that is, the outcomes are all equally likely). The spinner is spun 100 times, and the results are recorded. The degrees of freedom for the test will be

• 8

• 9

• 10

• 99

Using a GDC, the chi-square test statistic for commuter data is χ² = 5.37 with P-value < 0.01. If we useα=0.05, what conclusion is appropriate?

• Do NOT reject H0; the results are significantly different.

• Do NOT reject H₀; the results are not significantly different.

• Reject H_0; the results are significantly different

• Reject H0; the results are not significant different.

What are the degrees of freedom for the following χ² test?

• 6

• 2

• 5

• 36