Chi-Squared lest A car dealer suspects that the weather of the day of the test drive has an effect on the purchasing behavior. The car dealer recorded the observations in a cross-tab. Sunny Cloudy Rainy Total Purchase Made 6 4 0 Purchase NOT Made 0 4 6 Total Using a Chi-squared test, test the null hypothesis that weather and purchasing behavior are independent against the alternative that they are dependent. Question 1 (1 point) Saved Listen ▶ The variables "Purchase Made," "Purchase NOT Made," Sunny", Cloudy," and "Rainy" are best characterized as
Chi-Squared lest A car dealer suspects that the weather of the day of the test drive has an effect on the purchasing behavior. The car dealer recorded the observations in a cross-tab. Sunny Cloudy Rainy Total Purchase Made 6 4 0 Purchase NOT Made 0 4 6 Total Using a Chi-squared test, test the null hypothesis that weather and purchasing behavior are independent against the alternative that they are dependent. Question 1 (1 point) Saved Listen ▶ The variables "Purchase Made," "Purchase NOT Made," Sunny", Cloudy," and "Rainy" are best characterized as
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
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Transcribed Image Text:Chi-Squared lest
A car dealer suspects that the weather of the day of the test drive has an effect on the
purchasing behavior. The car dealer recorded the observations in a cross-tab.
Sunny Cloudy Rainy Total
Purchase Made
6
4
0
Purchase NOT Made 0
4
6
Total
Using a Chi-squared test, test the null hypothesis that weather and purchasing
behavior are independent against the alternative that they are dependent.
Question 1 (1 point) Saved
Listen
The variables "Purchase Made," "Purchase NOT Made," Sunny", Cloudy," and "Rainy"
are best characterized as
74°F Partly sunny
O
Transcribed Image Text:Assume that you reject the null hypothesis of no-difference at a=0.05. This means
that if you assume that there is no difference in the population between weather and
purchasing behavior, and the probability of getting a sample that deviates as much
from the expected values as your sample does is less than 5%, you reject the null.
Then, as a statistics expert, you
Reject the null
Fail to reject the null
Wouldn't know what to do
Would flip a coin to decide
Saved
Question 9 (1 point)
O
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