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Suppose that a certain college class contains 58 students. Of these, 25 are sophomores,34 are history majors, and 11 are neither. A student is selected at random from the class.
(a) What is the probability that the student is both a sophomore and a history major?
(b) Given that the student selected is a history major, what is the probability that she is also a sophomore?
Write your responses as fractions.
Results of study are summarized below. Use a 5% level of significance and test claim that opinion is independent of brand.
The grade point averages of 10 students are listed below. Find the median grade point average. 3.15, 3.62, 2.54, 2.81, 3.97, 1.85, 1.93, 2.63, 2.50, 2.80
What are the mean and the standard deviations for the population of produced with this process?
Use Chebyshev's theorem to determine what percent of values will fall between 58 and 82 for data set with mean of 70 and standard deviation of 4.
Calculate and interpret standard error of estimate se and coefficient of determination R2 for these data.
In a survey of women in a certain country (ages 20-29), the mean height was 62.9 inches with a standard deviation of 2.81 inches.
How large should n be so that the standard deviation of is no more than 0.01 and sampling distribution
Evaluate z statistic for the Wilcoxon rank sum test, standard deviation for the Wilcoxon rank sum test and P-value for the Wilcoxon rank sum test
Draw and label distribution used and position of values found.
(a) Consider a normal distribution with mean μ = 88. If 2% of the values lie below x = 50, find the standard deviation σ. (b) Consider a normal distribution with standard deviation σ = 15.6. If 10% of the values lie above x = 17.2, find the mean μ.
Best Electronics, Inc. offers a "no hassle" returns policy. The number of items returned per day follows the normal distribution. The mean number of customer returns is 10.4 per day and the standard deviation is 2.3 per day.
Suppose that monthly rental rates for unfurnished one-bedroom apartment in Ann Arbor, Michigan, are approximately normal in distribution, with a mean of $750 and a standard deviation of $150.
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