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1.13 1.55 1.43 0.92 1.25 1.36 1.32 0.85 1.07 1.48 1.20 1.33 1.18 1.22 1.29 (a) Construct a 99% confidence interval for the mean number of characters printed before the printhead fails. The store manager is interested in knowing if the number of characters printed before the printhead fails is one million or not. State the appropriate hypotheses. Using the above CI what do you conclude? Inference for difference between two population means (Chapter 19) The Chapin Social Insight Test is a psychological test designed to measure how accurately a person appraises other people. The possible scores on the test range from 0 to 41. During the development of the Chapin test, it was given to several different groups of people. Do these data support the contention that female and male students differ in average social insight at significance level = 0.1?
Discussion should include a critical reflection on the way in which you completed the market challenge element of the module.
Determine the best feasible solution among the following (feasible and infeasible) solutions of the Reddy Mikks model.
Compare and contrast a Difference of Means test with a Paired Difference test. What, fundamentally, are we testing for in each? When do you use the difference of means?
People arrive at a restaurant at a rate of five per minute and wait to receive their order for an average of 5 mins. Customers eat in with a probability of 0.5 and carry out with a probability of 0.5.
Which two types of probability sampling are best suited for business research and statistical data analysis, and why?
Is the gender distribution for theater goers significantly different from the distribution for the general college? Test at the .05 level of significance.
The animals are ordered from a supply company, housed in an animal care facility not under the direct control of the experimenter, and are supplied on an as-needed basis.
The average hourly wage of workers in a fast food restaurant is $5.85 with a standard deviation of $0.35. Assume that the distribution is normal.
Why is the F distribution important? How do you determine if a significant difference exists among the groups in ANOVA? How do you determine differences between the groups in ANOVA?
A thorough examination reveals there is nothing wrong with the filling machine. From a statistical standpoint, was there a "type" error made? If yes, which type? Explain.
Briefly describe your experiment. You must have a valid and ethical experiment (NOT an observational study) and/or question.
Generate a 95% CI for the difference in proprotions of particpants reportinga reduction of symptoms between the experimental and placebo groups.
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