Technology assignment Paper.
Test for Correlation – Download the data set “Course Evaluations” in your preferred technology format (StatCrunch, Statdisk, Excel). Column 2 denotes the mean course rating, and Column 3 denotes the mean professor rating. Using your preferred technology format (StatCrunch, Statdisk, Excel), generate a scatterplot for these two data sets. Based on the graph, do you believe the two sets are correlated? Now, using the same program, complete a hypothesis test to test the claim that the course rating and the professor rating are correlated. Provide a printout of your technology output using the Insert/Edit Image feature (no attachments!) Explain your conclusion in statistical and non-statistical terms and how you arrived at that conclusion. Be sure to follow the 8-step procedure on page 360, using technology to do your calculations. You should include your null and alternative hypothesis (in English and in symbolic form), your significance level, whether you are conducting a right
Instructionest for Correlation – Download the data set “Course Evaluations” in your preferred technology format (StatCrunch, Statdisk, Excel). Column 2 denotes the mean course rating, and Column 3 denotes the mean professor rating. Using your preferred technology format (StatCrunch, Statdisk, Excel), generate a scatterplot for these two data sets. Based on the graph, do you believe the two sets are correlated? Now, using the same program, complete a hypothesis test to test the claim that the course rating and the professor rating are correlated. Provide a printout of your technology output using the Insert/Edit Image feature (no attachments!) Explain your conclusion in statistical and non-statistical terms and how you arrived at that conclusion. Be sure to follow the 8-step procedure on page 360, using technology to do your calculations. You should include your null and alternative hypothesis (in English and in symbolic form), your significance level, whether you are conducting a right tailed, left tailed, or two tailed test, r-value, p-value, and conclusions.
Technology assignment
Scatter plot
The graph shows that there is strong correlation between the two variables since the scatter points are closely packed.
Hypothesis testing
| COURSE EVAL | PROF EVAL | |
| COURSE EVAL | 1 | |
| PROF EVAL | 0.943824 | 1 |
Step 1: hypothesis testing
H0: there is correlation between course evaluation and professor evaluation.
Hi: there is no correlation between course evaluation and professor evaluation.
Step 2: setting the significance level
The analysis will be carried out at 5% significance level.
Step 3: test statistic
The test statistic for the analysis is 0.9438
Step 4: stating the p-value for the test.
p- value for the test is 0.6125
step 5: rejecting or not rejecting hypothesis
we do not reject the null hypothesis
step 6: explanation
The null hypothesis is not rejected since p-value is greater than significance level.
Step 7 conclusion
From the analysis we conclude that there is strong positive correlation between course evaluation and professor evaluation. This means that if course evaluation has given high rating, professor will also give high rating for the course.