State the null and alternative hypotheses Calculate the expected results for the hypothesis test assuming the null hypothesis is true and determine the hypothesis test model , i.e., “cut-off” critical values etc. Formulate the decision rule, i.e., include “one-tail ”left, or “one-tail” right, or “two-tail” determination etc. Determine the experimental outcome. Determine the conclusion, and answer the question(s) posed in the problem, if any. Are “krispy toasters” quicker than “No-burn toasters” at the 1% significance level, if the times it took to toast a slice of bread were as follows:                       No-Burn:   60,55,70,65,80 seconds                       Krispy:   70,65,65,60,60 seconds  ?

Show supporting work for each section  identify the null hypothesis & alternative hypothesis  identify the critical value(s)  identify the rejection region  identify the standardized test statistic z=decide whether to reject or fail to reject the null hypothesis

Hypothesis Test Requirements For all questions involving a hypothesis test, be sure to include all the required steps: 1. State the null (Ho) and alternative (H or HA) hypotheses and identify the claim. 2. Using the sample data, compute the test statistic. 3. Using the level of significance, calculate the critical value. 4. Compute the p-value. 5. Using the test statistic and critical, make a decision: Reject Ho or Fail to reject Ho. Using the p-value and level of significance, make a decision: Reject Ho or Fail to reject Ho. 6. Interpret the results in the context of the original problem. Decision: Reject Ho Decision: Fail to reject Ho Claim: "There is sufficient evidence to warrant rejection of the claim that (original claim)." "There is not sufficient evidence to warrant rejection of the claim that .... (original claim). Ho www Claim: "The sample data support the claim that ... (original claim)." "There is not sufficient sample evidence to support the claim that (original claim). Ha

What type of hypothesis test should be performed? Ex: Left-tailed t-test, two-tailed t-test, two-tailed z-test, or right-tailed z-test P1 = Ex: 0.123 P2 = Ex: 0.123 P = Ex: 0.123 What is the test statistic? Ex: 0.12 P-value? Ex: 0.123 Does sufficient evidence exist to support the claim that the level of support differs between the two cities at the α=0.01 significance level? Ex: yes or no