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In each of the following settings, say which inference procedure from Chapter 8, 9, 10, or 11 you would use. Be specific. For example, you might say “two-sample $z$ test for the difference between two proportions.” You do not need to carry out any procedures.34(a) Is there a relationship between attendance at religious services and alcohol consumption? A random sample of 1000 adults was asked whether they regularly attend religious services and whether they drink alcohol daily.(b) Separate random samples of 75 college students and 75 high school students were asked how much time, on average, they spend watching television each week. We want to estimate the difference in the average amount of TV watched by high school and college students.

a. Chi-square test for association/independenceb. Two-sample $t$ interval for the mean difference

Intro Stats / AP Statistics

Chapter 11

Inference for Distributions of Categorical Data

Section 2

Inference for Relationships

Confidence Intervals

The Chi-Square Distribution

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Inference recap (8.1 to 11…

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all right, we are given these two conditions and then asked these two situations and asked what type of school tests reduce on these conditions? So for a 10 if there is a relationship between alcohol consumption in church tenants, he would use a kind square test for association. Flash independence was It makes sense because we have these two factors. We have our own consumption, Trickett IDs, and we want to see if there is an association between them so we could make a making no life offices, that there is no difference. And then we could run a Chi Square test and see whether or not that no hypothesis is no difference distributions across church tendons. We could say we do destruction across Trish students and I would see whether daughter Noi posses was true or not. Nevertheless, no. If there's relationship for be If 75 calls shooting 75 high school students, how much time do they each been watching to be each week? So this sounds a lot like a two sample Z score. Remember that? A A to that's gonna tell us whether or not they have the same averages. Let's go, Let's know whether or not the average of the first sample is equal to the average of the second. But we don't want to know whether or not they have the same average. You won't know how much friend each spend we want to compare. The difference is between the two and so we're going to soon were some of our established that they are different and we're going to in fact, to use a to sample tea interval for the I mean difference, which is a little different because this implies that we've already established that the two means are different for these two groups. And logically, they would be different because we would assume that high schools have more time on their hands. So we've already established prior to this. Drew is two samples East Cortes that samples are not the same. Now we want to see with the mean differences so we can compare the time they will uh has been playing video games against each other. And so this is like a follow up step to the two sample Z score. So it's a two sample T interval test

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