As part of your project, you collected 100 or more data. See link below. Two of the data columns consisted of numerical (quantitative) data. Select one of the two quantitative data rows. Using your group project data, randomly choose 50 or more quantitative data items from your selected row. There are many ways to randomly choose 50 data. It is up to you to decide how you will select the data. One way is to use StatCrunch to randomly choose th
As part of your project, you collected 100 or more data. See link below. Two of the data columns consisted of numerical (quantitative) data. Select one of the two quantitative data rows. Using your group project data, randomly choose 50 or more quantitative data items from your selected row. There are many ways to randomly choose 50 data. It is up to you to decide how you will select the data. One way is to use StatCrunch to randomly choose the data. You will first construct an appropriate set of hypotheses, H0 and H1, regarding your data. This might involve undertaking initial research to figure out a meaningful set of hypotheses.
Complete the following steps and submit as your primary post:
First
- Briefly explain your survey and the data variable you are investigating
- Include your Statcrunch report, either as an attachment or (even better) paste is into your discussion post
Then
1. Write down the null hypothesis.
2. Write down the alternative hypothesis.
3. Explain why you chose your hypotheses.
4. Perform a hypothesis test of your data at α = 2% level of significance for the population mean by carrying out the following eight steps:
a. Write down the degrees of freedom, n-1
b. Click here to learn how to use StatCrunch to compute the value tα
If it is left-tailed test, what is the critical value, -t0.02?
If it is right-tailed test, what is the critical value, t0.02?
If it is two-tailed test, what are the two critical values, ±t0.01?
c. Use StatCrunch to do your hypothesis test. Copy and paste your StatCrunch report here. Click on the above link that explains how to use StatCrunch (with data) to perform hypotheses tests for a population mean.
d. Write down the test statistic, t0.
e. Write down the P-value.
f. Write down the sample size, sample mean, and sample standard deviation.
g. Use the classical method to reach a conclusion on whether or not to accept or reject the null hypothesis. Be sure to explain how you reached your conclusion.
h. Use the P-value to reach a conclusion on whether or not to accept or reject the null hypothesis. Be sure to explain how you reached your conclusion.
5. Perform a hypothesis test using all of your group data (instead of 50), employing either the classical method or the P-value method. Is the result of whether or not to reject the null hypothesis the same?
6. Do the conclusions make sense to you? Why or why not?
When undertaking part 4, try to use a data set that no other student in the class has used to ensure your results will be unique. Randomly choosing your 50 data will ensure unique results
https://www.statcrunch.com/app/index.html?dataid=4269647#
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