You are comparing the average price of gasoline in 10 different US cities. You sample gas prices in each city. To see if there is at least one city that has different average prices, you would use
Group of answer choices
one sample t test
independent sample t test
dependent (matched) sample t test
simple independent sample ANOVA
dependent (matched) sample ANOVA
factorial ANOVA
2.
You want to see if there is any difference in how many students would vote for each of the five current contenders for a particular student body office. You find out how many students among the 1000 surveyed would choose each candidate. To answer the question, you would use
Group of answer choices
simple(independent sample) ANOVA
one sample t test
Chi square goodness of fit
chi square test of independence
Z test of a proportion
factorial ANOVA
You are comparing the average price of gasoline in 10 different US cities. You sample gas prices in each city. To see if there is at least one city that has different average prices, you would use
The sample of 10 different US cities to be compared in order to obtain the result based on equality of means,
hence we will use
simple independent sample ANOVA
You want to see if there is any difference in how many students would vote for each of the five current contenders for a particular student body office. You find out how many students among the 1000 surveyed would choose each candidate. To answer the question, you would use
Here, we need to check if the actual proportions are comparable with the expected proportions we will use,
Chi square goodness of fit
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