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A statistically significant result occurs when the value of the test statistic falls in the rejection region. A result has practical significance when it is statistically significant and the result also is different enough from results expected under the null hypothesis to be important to the consumer of the results. By taking large enough sample sizes, almost any result can be made statistically significant due to the increased ability of the test to detect a false null hypothesis, but small differences from the conditions expressed by the null hypothesis may not be important, that is, they may not have practical significance. This explains the difference between statistical significance and practical significance. Is this true? Explain your answer.
At the 5% level of significance, can we infer that the difference in the level of satisfaction with service between the two branches is wider than 5 p.c. points?
A telemarketing company wants to find out if people are more likely to answer the phone between 8pm and 9pm than between 7pm and 8pm.
Find the probability that a man and woman are watching the schow at the same time. (This question confused me because it sounds like the statement I just wrote before this one)
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots. A partial ANOVA table
The standard deviation of the differences d for the paired sample data s d = ____________
What is the purpose of the F test in a multiple regression? What is a qualitative independent variable? How would we/what technique would we use to include a qualitative independent variable in a regression model.
A professor wants to conduct a study to know whether the grades she gives to her students affect their evaluations of her. She teaches four classes of ten students each.
Last year, there were 30,000 students at a university; their GPA had a mean of 2.9 and an SD of 0.6. This year, in a simple random sample of 100 students taken from this university, the GPAs have a mean of 2.95 and an SD of 0.55. Has the mean GPA ..
The mean amount purchased by a typical customer at Churchill's Grocery Store is $23.50 with a standard deviation of $5.00. Assume the distribution of amounts purchased follows the normal distribution. For a sample of 50 customers, answer the follo..
A salesperson makes four calls per day. A sample of 100 days gives the following frequencies of sales volumes.
Evaluate your histograms for any outliers in your data. Based on your evaluation of outliers, you may trim no more than 1% of the data contained in the data set. This must be done symmetrically (i.e., trimming no more than 0.5% off the top and 0.5..
You calculate the difference in income as (after incentive plan - before incentive plan). You want to test whether income after the incentive plan is different from income before the incentive plan. What are the hypotheses for this test?
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