Problem
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence provided by actual, observed data. A statistical hypothesis is a statement about the value of a population parameter that we are interested in. Hypothesis testing is a process followed to arrive at a decision between 2 competing, mutually exclusive, collective exhaustive statements about the parameter's value.
Consider the following scenario: An industrial seller of grass seeds packages its product in 50-pound bags. A customer has recently filed a complained alleging that the bags are underfilled. A production manager randomly samples a batch and measures the following weights:
Weight, (lbs)
45.6 49.5
47.7 46.7
47.6 48.8
50.5 48.6
50.2 51.5
46.9 50.2
47.8 49.9
49.3 49.8
53.1 49.3
49.5 50.1
To determine whether the bags are indeed being underfilled by the machinery, the manager must conduct a test of mean with a significance level α = 0.05.
In a minimum of 175 words, respond to the following:
1) State appropriate null (Ho) and alternative (H1) hypotheses.
2) What is the critical value if we work with a significant level α = 0.05?
3) What is the decision rule?
4) Calculate the test statistic.
5) Are the bags indeed being underfilled?
6) Should machinery be recalibrated?
• What information do we obtain from the null hypothesis? What information do we obtain from the alternate hypothesis?
• What do we mean when we refer to the critical value? Explain your answer with regard to the decision rule.
• How do you calculate the test statistics with Excel for either the z or t statistic?
The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.