QUESTION 1

A random sample of 74 was drawn from a large normal population, and the mean and standard deviation were found to be 32.5 and 2.78. The analyst wishes to test at the 5% level of significance whether the population mean is over 32.

1. Use the tables in the text to determine the critical value for the test statistic.

2. Does the evidence support the hypothesis that the population mean is over 32? (YES/NO)

QUESTION 2

A Brisbane warehouse buys pre-packed bulk bags of Bundaberg Sugar with an advertised mean weight of 20 kilograms. To determine the validity of the advertised claim, the warehouse manager took a random sample of forty packets from the latest shipment received and found an average weight of the packets of 19.988 kilograms. The manufacturer knows that the standard deviation of the weight of the bags of sugar is 50 grams.

1. State the direction of the alternative hypothesis used to test the advertised claim. Type the letters GT (greater than), GE (greater than or equal to), LT (less than), LE (less than or equal to) or NE (not equal to) as appropriate in the box. 2. Use the tables in the text to determine the critical value used to conduct the test, assuming a 5% level of significance. If there are two critical values, state only the positive value.

3. Calculate the test statistic, reporting your answer to two decimal places.

4. Is the null hypothesis rejected for this test? Type YES or NO.

5. If it is shown later that the "true" average weight of the bags was only 19.990 kilograms, determine the nature of the decision made in the test. Type CD (correct decision), 1 (a Type I error was made) or 2 (a Type II error was made) as appropriate.

6. Regardless of your answer for 4, if the null hypothesis was rejected, would Bundaberg Sugar's advertised claim be valid? Type YES or NO.