Chi-Square Goodness of Fit

If you rolled a die 60 times, how many times would you expect to get a 5?

• 12

• 10

• 8

• 1/6

In a chi square goodness of fit test, you must have

• counts for two categorical variables
• proportions for one categorical variable
• counts for one categorical variable
• proportions for two categorical variables

Aw, nuts! A company claims that each batch of its deluxe mixed nuts contains 52% cashews, 27% almonds, 13% macadamia nuts, and 8% brazil nuts. To test this claim, a quality-control inspector takes a random sample of 150 nuts from the latest batch. The one-way table below displays the sample data. What is the appropriate null hypothesis

• U1-U2=U3=U4

• Mixed nut proportions are proportioned the same as they claim

• At least one of the four types in the population is different than expect

• the observed counts are equally distributed

A chi-square has a p-value of 0.51. What do you do?

• Reject the Research Hypothesis

• Reject the Null Hypothesis

• Accept the Null Hypothesis

• Accept the Research Hypothesis

Chi square tests determine if the observed frequencies are significantly different from the expected frequencies.

• True

• False

To run a chi-square goodness of fit test in google sheets, type

• chisquare(expected, observed)

• =chisquare(expected, observed)

• chitest(observed, expected)

• =chitest(observed, expected)

The research hypothesis for a chi square goodness of fit test is

• observed frequencies equal expected frequencies

• observed frequencies do not equal expected frequencies

• observed frequencies are greater than expected frequencies

• observed frequencies are less than expected frequencies