1. A sample of 30 sales records from a convenience store has mean R142. It is known that the standard deviation of sales receipts in this store is R34. Use these values to test whether or not the mean sale value at the convenience store is different from R148, at the 5% level of significance. Test the hypothesis and establish the p-value.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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1. A sample of 30 sales records from a convenience store has mean R142. It is known that the standard deviation of sales receipts in this store is R34. Use these values to test whether or not the mean sale value at the convenience store is different from R148, at the 5% level of significance. Test the hypothesis and establish the p-value.
2. An amateur long-distance runner knows his time taken to complete a 10km race has a standard deviation of 1 minute 51 seconds. The runner claims that his long-standing average is 42 minutes. If, for his last 15 races, he averaged 41 minutes 5 seconds, is this evidence that his mean time has improved? Test the claim at the 4% level of significance. What is the p-value for the test?
3. A pharmaceutical company wants to test the effectiveness of a new drug for a particular infectious disease. In a sample of patients with the disease, 24 were randomly assigned to receive the new drug, while the remaining 16 patients
were given a placebo. The length of time the infectious disease lasted was
recorded by a doctor for each patient. The sample mean for the group taking the new drug was found to be 6.5 days and for the control group (taking the placebo) the mean was 7.125 days. The (population) standard deviation of recovery times for people with the infectious disease is known to be 1.2 days. Test the claim that the drug reduces the time that an infectious disease lasts, at the 5% significance level. What is the p-value for this test? What assumptions do you need to make for this test to be valid?
4. Find (i) 95% and (ii) 90% confidence intervals for the difference in recovery times between the two treatment groups in question 3. You may assume the recovery times are Normally distributed. (iii) What would you infer about the difference in recovery times from the two confidence intervals?

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