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Problem 23

Another measure of variation is variance, which equals \(\sigma^{2} .\) Find the variance and the standard deviation of each data set. $$ 60 \mathrm{m} 40 \mathrm{m} \quad 35 \mathrm{m} 45 \mathrm{m} 39 \mathrm{m} $$

Problem 23

A normal distribution has a mean of 100 and a standard deviation of \(10 .\) Find the probability that a value selected at random is in the given interval. at least 100

Problem 24

Another measure of variation is variance, which equals \(\sigma^{2} .\) Find the variance and the standard deviation of each data set. $$ \$ 6.99 \quad \$ 5.50 \quad \$ 7.10 \quad \$ 9.22 \quad \$ 8.99 $$

Problem 24

Which of the given sets of data has the greatest median? $$ \begin{array}{ll}{\text { F. } 1,1,2,3,4,5,6,7,8,8} & {\text { G. } 1,2,3,4,5,6,7,8,9,10} \\ {\text { H. } 4,4,4,5,5,5,5,5,5,4,4} & {\text { 1. } 1,2,3,4,5,6,7,8}\end{array} $$

Problem 24

Find the area under each curve for the domain \(0 \leq x \leq 1\) $$ y=3 $$

Problem 24

Genetics About 11\(\%\) of the general population is left-handed. At a school with an average class size of \(30,\) each classroom contains four left-handed desks. Does this seem adequate? Justify your answer.

Problem 24

critical Thinking Sixty percent of a company's sales representatives have completed training seminars. Of these, 80\(\%\) have had increased sales. Overall, 56\(\%\) of the representatives (whether trained or not) have had increased sales. Use a tree diagram to find the probability of increased sales, given that a representative has not been trained.

Problem 24

A normal distribution has a mean of 100 and a standard deviation of \(10 .\) Find the probability that a value selected at random is in the given interval. at most 110

Problem 25

Find the area under each curve for the domain \(0 \leq x \leq 1\) $$ y=4 x+2 $$

Problem 25

Another measure of variation is variance, which equals \(\sigma^{2} .\) Find the variance and the standard deviation of each data set. $$ 0.7 \mathrm{g} \quad 0.84 \mathrm{g} \quad 0.9 \mathrm{g} \quad 0.8 \mathrm{g} \quad 0.69 \mathrm{g} $$

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