A logistics support managec of one company prides himself in his ability to find and deliver necessary products from the USA to Canada in less than 4 calendar days, on avegege. Periodically, the compapu selects a random sample of ordeers and determines the number of days requtred for deltvery. Based on that information, it is decided whether the desired standard is being met. On one ossasion when a sample of 46 orders was selected, the average number of days was 3.45 and the standard deviation was 1.5 days. Test the clatm of the loglstics support manager using 1% significance level and t-distribution. Assume that the delfvery times are ?pproximately n?mally distributed.

Round to 's decimal places where appropriate. (a) State the null and alternative hypotheses, and identify which one is the claim. Ho: Select an answer ? H1: Select an answer ? Which one is the claim: OHo OH1 For parts (b), (c) use the correct sign for the t-value and test statistic. (b) What is the critical t-value? (c) What is the test statistic (d) Is the null hypothesis rejected? No Yes (e) Conclude: At 1% significance level, there is not sufficient evidence to warrant rejection of the null hypothesis. There is not enough evidence to conclude that the company delivers necessary products from the USA to Canada in less than 4 calendar days, on average. At 1% significance level, there is sufficient sample evidence to warrant rejection of the null hypothesis. The company did not deliver necessary products from the USA to Canada in less than 4 calendar days, on average. At 1% significance level, there is sufficient sample evidence to warrant rejection of the null hypothesis. The company does deliver necessary products from the USA to Canada in less than 4 calendar days, on average. At 1% significance level, there is not sufficient evidence to warrant rejection of the null hypothesis. The company does deliver necessary products from the USA to Canada in less than 4 calendar days, on average