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Suppose that the distribution of heights of all male students on your campus is Normal with mean 70 inches and standard deviation 2.8 inches. (a) If you choose one student at random, what is the probability that he is between 69 and 71 inches tall?
Give a brief definition and an example of the following: a. Descriptive Statistics b. Inferential Statistics
Phone calls arrive at the rate of 25 per hour at the reservation desk. Compute the probability of receiving four calls in a 5-minute interval of time.
Obtain a test statistic and p-value. Interpret the results at = .01.
To find the probability values in case of raw data, binomial, normal
Observations was x ¯ = 119.8 (actually 119.7692), and the 14th observation, somewhat of an outlier, was 158. What is the value of x ¯ for the entire sample?
A sample of 23 European countries found that the variance of life expectancy was 7.3 years. What is the 95% confidence interval estimate for the variance of life expectancy in Europe?
If the number of heads turns out to equal one of your 11 numbers, you win a dollar. which 11 numbers should you pick, and what is your chance of winning? explain.
Stanford Binet IQ scores have a mean of 100 and a standard deviation of 15. Albert Einstein reportedly had an IQ of 160. Convert Einstein's IQ score to a z score.
Use a 0.05 significance level to test the claim that this sample comes from a population with a married percentage of less than 58.6%.
Assume that a sample is drawn and z(α/2) = 1.65 and σ = 35. Answer the following questions. (A) If the Maximum Error of Estimate is 0.04 for this sample, what would be the sample size?
Determine the approximate probability that in random sample of 1000 individuals who have purchased fries at McDonald's.
Based on the information about typical use, what is the probability that at least 25 of these women become pregnant in the next year? Is the Normal approximation permissible?
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