00:01
Hello students, in this question the choice between confidence intervals, hypothesis test and linear regression depends on the nature of the problem and the type of data you have.
00:07
So for the first question, can study time and hours of sleep estimate a student's test grade? so for this situation we would use linear regression.
00:15
So we use linear regression.
00:17
Linear regression is used to understand the relationship between two or more variables.
00:29
So in this case we are trying to understand how two independent variables, study time and hours sleep might predict a dependent variable.
00:39
So in this case we are trying to understand how two independent variables might predict a dependent variable, that is test grade.
01:11
So for the second question, is the average size of dogs in the us different from the average size of dogs in europe? so for this, for the second question, is the average size of dogs in the us different from the average size of dogs in europe? so this situation calls for a hypothesis test.
01:30
In this situation we use hypothesis test.
01:33
So specifically we would use a two sample t -test.
01:37
Specifically we would use a two sample t -test.
01:47
So this type of test is used.
01:50
This type of test is used to determine, used to determine if two population means are equal.
02:05
The null hypothesis would be that the average size of dogs in the us, the average size of dogs in the us is the same as the, is the same as the, is same as in europe.
02:24
And the alternative hypothesis is that the average size of dogs in the us is different in europe, is different in europe.
02:45
And for the third question, how does the estimated mean cost of groceries at whole foods compare with that at the target? so for this question, we will use confidence interval...