Which inference procedure would you use in each of these cases? For now, we will assume that the conditions for these procedures are satisfied. Choose the most direct method of solving each problem. Try hard and take your time. So, let's try out the quiz. All the best!
The products np and n(1-p) are greater than or equal to 10.
The alpha must be 0.05.
The data are from a SRS of independent observations
The population is at least 10 times as large as the sample
When calculating the standard error of p-hat
As the point estimate for the population parameter, p
For checking our assumptions/conditions before constructing the interval
In all of these cases
X1 and x2 are > 5
X1 > 5 and x2 > 5
X1 & x2 > 5
X1 > 5 & x2 > 5
Both x1 and x2 are greater than 5
The pooled sample proportion
(x1 + x2)/(n1 + n2)
(x1+x2)/(n1+n2)
The sum of the successes divided by the sum of the attempts
Sample confidence interval for the mean
sample confidence interval for the difference of proportions
Proportion confidence interval
Sample hypotheses test for the difference of proportions
Paired t-test
Sample confidence interval for the mean
Sample confidence interval for the difference of proportions
Proportion confidence interval
Sample hypotheses test for the difference of proportions
Paired t-test
Sample t-confidence interval for the mean
Sample t-confidence interval for the difference of means
Proportion confidence interval
sample hypotheses t-test for the difference of means
Paired t-test
Wo-sample z-test for means
Two-sample t-test for means
One sample z-test for proportion
Two sample z-test for proportions
Linear Regression t-test
One-sample z-test for a mean
One-sample t-test for a mean
Two-sample t-test for means
One sample z-test for proportion
Hi-Square Test for Goodness of Fit
One-sample z-test for a mean
Two-sample z-test for means
One-sample t-test for a mean
Two-sample t-test for means
One sample z-test for proportion