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3) Students in a medical program need to pass a licensing exam. In a sample of students in this program as various colleges the following data was collected. The students were split into two groups based on whether they attended a private or a public college. Use the data and stat key to conduct a hypothesis test at the 5% significance level to see if there is strong enough evidence to conclude the passing rate is different based on the type of college attended. Or, to say that another way, is there enough evidence to conclude the population proportions of students passing the exam is different based on the type of college they attend). Do this by completing the steps below. [12 points] Type of school attended Passed licensing exam Sample size private 165 243 Public 199 270 a) Write your hypotheses using correct notation. b) Use stat key to create the randomization dotplot, and to find the p-value. You'll need to figure out which type of hypothesis test we are doing here and edit the data to enter in our sample data. Provide a screenshot of your randomization dotplot showing the p-value. Then type in the p-value to indicate that you know how to get it from the display. c) Write your conclusion in the context of the problem.

          3) Students in a medical program need to pass a licensing exam. In a sample of students in this program as various
colleges the following data was collected. The students were split into two groups based on whether they attended a
private or a public college. Use the data and stat key to conduct a hypothesis test at the 5% significance level to see if
there is strong enough evidence to conclude the passing rate is different based on the type of college attended. Or, to
say that another way, is there enough evidence to conclude the population proportions of students passing the exam is
different based on the type of college they attend). Do this by completing the steps below. [12 points]
Type of school attended	Passed licensing exam	Sample size
private	165	243
Public	199	270
a) Write your hypotheses using correct notation.
b) Use stat key to create the randomization dotplot, and to find the p-value. You'll need to figure out which type of
hypothesis test we are doing here and edit the data to enter in our sample data. Provide a screenshot of your
randomization dotplot showing the p-value. Then type in the p-value to indicate that you know how to get it
from the display.
c) Write your conclusion in the context of the problem.

3) Students in a medical program need to pass a licensing exam. In a sample of students in this program as various
colleges the following data was collected. The students were split into two groups based on whether they attended a
private or a public college. Use the data and stat key to conduct a hypothesis test at the 5% significance level to see if
there is strong enough evidence to conclude the passing rate is different based on the type of college attended. Or, to
say that another way, is there enough evidence to conclude the population proportions of students passing the exam is
different based on the type of college they attend). Do this by completing the steps below. [12 points]
Type of school attended Passed licensing exam Sample size
private 165 243
Public 199 270
a) Write your hypotheses using correct notation.
b) Use stat key to create the randomization dotplot, and to find the p-value. You'll need to figure out which type of
hypothesis test we are doing here and edit the data to enter in our sample data. Provide a screenshot of your
randomization dotplot showing the p-value. Then type in the p-value to indicate that you know how to get it
from the display.
c) Write your conclusion in the context of the problem.

Added by Devon S.

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