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An article about the California lottery that appeared in the San Luis Obispo Tribune (December 15, 1999) gave the following information on the age distribution of adults in California: 35% are between 18 and 34 years old, 51% are between 35 and 64 years old, and 14% are 65 years old or older. The article also gave information on the age distribution of those who purchase lottery tickets. The following table is consistent with the values given in the article:
Suppose that the data resulted from a random sample of 200 lottery ticket purchasers. Based on these sample data, is it reasonable to conclude that one or more of these three age groups buys a disproportionate share of lottery tickets?
seventy percent of houshold say the would feel secure if they had 50000 in saving. you randomly select 8 houshold and
More than 5 percentage points in either direction from what would have been obtained by interviewing all voters in the United States. Find the sample size suggested by this statement.
If IQ scores on a Stanford-Binet Test are basically distributed with the mean of 100 and a standard deviation of 15, then about how many people in a randomly chosen million would be expected to score at 160 or above?
write a problem which requries the reader to calculate standard scores also called a z-scores and use these to find
let t be a linear transformation that maps rn onto rn. show that t-1 exists and maps rn onto rn. is t-1 also
a college believes that 24 of applicants to that school have parents who have remarried. how large a sample is needed
farmers insurance group would like to test the hypothesis that the average number of miles driven per month by a male
Alternative work arrangements are varied and a popular option in today's workplace. Based on the reading in this chapter, discuss which of the alternative work arrangement options you find to be particularly appealing.
The average number of hours worked per week for married men in the early 1990s had a mean of 42.6 and a standard deviation of 12.9.
Get the carbon dioxide and atmospheric temperature data (warming.html) from the website for this book. Which of these variables should be dependent?
5 cups of coffee per day with a standard deviation of 1.5. The distribution is normal. What proportion of faculty consume an amount between 4 and 6 cups?
A pen company averages 1.2 defective pens per carton produced (200 pens). The number of defects per carton is Poisson distributed.
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