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The mean price paid for an ounce of gold in 2003 was $350.
a. Tell whether 350 is a sample mean or a population mean, and identify it with the proper notation.
b. For which sample size will the distribution of sample mean price have more spread: 20 or 30?
c. For which sample size will the shape of the distribution of sample mean be less normal: 20 or 30?
Consider all random samples of 64 test scores. What is the standard deviation of the sample means? (Round your answer to three decimal places)
a. Rank the observations in each sample separately, and find each difference between the ranks, di. b. Find the sample correlation coefficient between the rank
Find the mean, median, mode, sample variance, and range. Do you think that this sample might have come from a normal population? Why or why not?
Assuming that the hypotheses test is to be performed using 0.10 level of significance and a random sample of n=64 bottles, how large could the sample.
Motor vehicles sold to individuals are classi?ed as either cars or light trucks (including SUVs) and as either domestic or imported. In a recent year, 69% of vehicles sold were light trucks, 78% were domestic, and 55% were domestic light trucks. L..
In a large accounting firm, the proportion of accountants with MBA degrees and at least five years of professional experience is 75% as large as the proportion.
The mean score on ACT was 18.4 SD was 4.7 the distribution of scores was approximately bell shaped compute the z score for ACT score of 14. Round 2 decimal.
He wonders if this evidence contradicts his belief in a uniform distribution of miles across the days of the week. Explain why it is not appropriate to test his hypothesis using the chi-square goodness-of-fit χ2 test.
find the value of the linear correlation coefficient r. x 22.6 36.6 15.6 35.0 47.5 y 7 6 6 2 6 a 0 b -0.478 c
What are the pros and cons of selecting an established theoretical or conceptual model or framework? What are the pros and cons of creating/developing your own?
the expected mean life of a particular type of light bulb is 1000 hours with a standard deviation of 50 hours. the life
when a survey calls residential phone numbers at random only 20 of the calls reach a live person. you watch a random
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