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1. A sample of 25 items X = 60 grams and s = 9 grams. Assuming a normal parent distribution, construct a 99 percent confidence interval for the population mean weight.
2. Of a random sample of 600 trucks at a bridge, 120 had bad signal lights. Construct a 90 percent confidence interval for the percentage of trucks that had bad signal lights.
suppose iq scores were obtained from randomly selected siblings. for 20 such pairs of people the linear correlation
Listed below are the highway fuel consumption amounts (in mi/gal) from cars in three different categories. Use a 0.05 signifiacance level to test the claim that the different car categories have the same median highway fuel consumption.
Write down the line of best fit for the given data from the regression output obtained. Explain the meaning of any symbols used.
How many ways can a committee of 4 people be selected if there must be at least 1 woman on the committee?
The sampling by touch method is said to suffer from selection bias, in that the longer strings get chosen more often than the shorter ones.
according to the national institute for mental health 12 of women is affected by depressive disorder each year. suppose
Debbie is a HR Manager for a major retailer.- If you were Debbie what would you say to Melony and how would you handle the situation.
Consider the development of Indian civilizations in central and North America from archaic times until 1500. What ever the major forces of change within these early populations?
Identify the fallacies of relevance committed by the following arguments, giving a brief explanation for your answer. If no fallacy is committed, write "no fallacy."
from the output below is it safe to assume that the sample data used to complete this test is from a normal
Compare his performance on the two tests in terms of percentile ranks. In which exam did he do better? Please show computations and discuss.
Is this a one- or two-tailed test? Conduct all 6 steps of the appropriate statistic. Be sure to label all six steps. Calculate and interpret the effect size for this test.
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