Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the population proportion p at the given level of significance a using the given sample statistics. Claim: p#0.25; a =0.01; Sample statistics: p= 0.19, n= 200

What is the level of significance? State the Null and alternative hypotheses. Will you use a left field, right tailed, or two tailed test? Identify the sampling distribution you were used and explain the rationale for your choice what is the value of the sample test statistic? Find or estimate the P value. Will you reject or fail to reject the null hypothesis? State your conclusion in the context of the application. A system specialist has studied the workflow of clerks all doing the same inventory work. Based on the study, she designed a new workflow layout for the inventory system. To compare average product for the old and new methods, a random sample of six clerks was used. The average production rate ( Number of inventory items process per shift) For each clerk was measured both before and after the new system is introduced. The results are shown below. Test the claim that our new system increases the main number of items process per shift. Assume that both distributions or mound…

State the null and alternate hypothesis. Will you use a left tail, right tail or 2 tailed test? Identify the sampling distribution to be used: standard normal, Student’s t or chi squared. Find the value of the test statistic. Find the P-Value. Based on your answers, shall we reject or accept the null hypothesis? Write the conclusion in the context of the problem.