Samples 1 to 30 must be between 15 and 50. Not less than 15 and no more than 50.

Case: You are responsible for marketing your brand of popcorn. Based on samples of different brands of popcorn it is known that un-popped popcorn kernels have a mean of 36 kernels per teaspoon with a standard deviation of 5.9 kernels per teaspoon. Lab: You are to construct an experiment to determine how your popcorn compares to the mean. Based on your statistical conclusion, write a summary of your findings and determine the best marketing approach to sell the benefits of your popcorn. Step 1: Test 3 samples of popcorn to compare the number of kernels per teaspoon to the mean and develop your claim; your null hypothesis statement and your alternate hypothesis. Determine the critical value against which you will compare the results of your experiment. Use a significance level of a = .05. Claim: Null Hypothesis: Alternate Hypothesis: Critical Value: Step 2: Take 30 new samples of popcorn and count the number of kernels per teaspoon, record your results. Determine the mean of your sample. 7. 13 19 25. 8. 14. 20. 26. WN 9 . 15. 21. 27 10. 16 22. 28. OUT A 11 17 23. 29 12. 18 24. 30. Sample Mean