Question

Then, answer the following five parts:

1. Write down the null hypothesis.
2. Write down the alternative hypothesis.
3. Explain why you chose your hypotheses as such.
4. 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:
   1. View an example of how to use StatCrunch to compute the value Z_α
      If it is a left-tailed test, what is the critical value, -z_0.02?
      If it is a right-tailed test, what is the critical value, z_0.02?
      If it is a two-tailed test, what are the two critical values, ±z_0.01?
   2. Write down the test statistic, z₀.
   3. Write down the P-value.
   4. Write down the sample size.
   5. Write down the sample proportion.
   6. 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.
   7. 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.
5. Does the conclusion make sense to you? why or why not?

One sample proportion hypothesis test:

Outcomes in : How is the main dish typically cooked?
Success : Baked
p : Proportion of successes
H₀ : p = 0.5
H_A : p ≠ 0.5

Hypothesis test results:

Variable	Count	Total	Sample Prop.	Std. Err.	Z-Stat	P-value
How is the main dish typically cooked?	481	974	0.49383984	0.016021033	-0.3845048	0.7006

Answer 1