(1) Collect 50 or more qualitative data items. Use the same method of collecting 50 or more data items that you used in the Module 1 discussion. You may use the same data you used in Module 6. You will first construct an appropriate set of hypotheses, H0 and H1, regarding your data. This might involve doing research regarding your data beforehand to figure out a meaningful set of hypotheses.
View an example on how to use StatCrunch (with data) to do hypotheses tests for a population proportion.
Then, answer the following five parts:
Write down the null hypothesis.
Write down the alternative hypothesis.
Explain why you chose your hypotheses as such.
Do a hypothesist test of your data at the α = 2% level of significance for the population proportion by carrying out the following five steps:
View an example of how to use StatCrunch to compute the value Zα If it is a left-tailed test, what is the critical value, –z0.02?If it is a right-tailed test, what is the critical value, z0.02?If it is a two-tailed test, what are the two critical values, ±z0.01?
Write down the test statistic, z0.
Write down the P-value.
Write down the sample size.
Write down the sample porportion.
Use the classical method to reach your conclusion on whether or not to accept or reject the null hypothesis. Be sure to explain how you reached your conclusion.
Use the P-value to reach your conclusion on whether or not to accept or reject the null hypothesis. Be sure to explain how you reached your conclusion.
Does the conclusion make sense to you? why or why not?
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