Statistics Questions & Answers

Which of the following data sets can I graph on a histogram?

3. Which of the following data sets can I graph on a histogram?

Using the box plot provided, what is the vertical line circled in red?

Line graphs are used to look for what?

12. The regression equation of the amount of energy used (in kW ) on the number of occupants in the house (for houses with 1 to 8 occupants) is Energy \( =460+64 \) occupants (a) 1420 kW (b) 460 kW (c) 960 kW (d) This is extrapolation.

A simple random sample of size \( n=1000 \) is obtained from a population whose size is \( \mathrm{N}=1,500,000 \) and whose population proportion with a specified characteristic is \( p=0.33 \). (a) Describe the sampling distribution of \( \hat{p} \). Choose the phrase that best describes the shape of the sampling distribution. A. Not normal because \( n \leq 0.05 \mathrm{~N} \) and \( \mathrm{np}(1-\mathrm{p})<10 \) C. Approximately normal because \( \mathrm{n} \leq 0.05 \mathrm{~N} \) and \( \mathrm{np}(1-\mathrm{p}) \geq 10 \) D. Approximately normal because \( \mathrm{n} \leq 0.05 \mathrm{~N} \) and \( \mathrm{np}(1-\mathrm{p})<10 \) Determine the mean of the sampling distribution of \( \hat{\mathrm{p}} \). \( \mu_{\hat{p}}=\square \) (Round to two decimal places as needed.)

A simple random sample of size \( n=50 \) is obtained from a population whose size is \( N=25,000 \) and whose population proportion with a specified characteristic is \( p=0.4 \). Coms (a) Describe the sampling distribution of \( \hat{p} \). Choose the phrase that best describes the shape of the sampling distribution. B. Approximately normal because \( n \leq 0.05 \mathrm{~N} \) and \( n p(1-p) \geq 10 \) C. Not normal because \( n \leq 0.05 \mathrm{~N} \) and \( n p(1-p)<10 \) D. Not normal because \( n \leq 0.05 \mathrm{~N} \) and \( \mathrm{np}(1-\mathrm{p}) \geq 10 \) Determine the mean of the sampling distribution of \( \hat{p} \). \( \mu_{\hat{p}}=0.4 \) (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of \( \hat{p} \). \( \sigma_{\hat{p}}=\square \) (Round to six decimal places as needed.)

A simple random sample of size \( n=50 \) is obtained from a population whose size is \( \mathrm{N}=25,000 \) and whose population proportion with a specified characteristic is \( p=0.4 \). Complete parts ( (a) Describe the sampling distribution of \( \hat{p} \). Choose the phrase that best describes the shape of the sampling distribution. B. Approximately normal because \( n \leq 0.05 \mathrm{~N} \) and \( n p(1-p) \geq 10 \) C. Not normal because \( n \leq 0.05 \mathrm{~N} \) and \( n p(1-p)<10 \) D. Not normal because \( n \leq 0.05 \mathrm{~N} \) and \( n p(1-p) \geq 10 \) Determine the mean of the sampling distribution of \( \hat{p} \). \( \mu_{\hat{p}}=\square \) (Round to one decimal place as needed.)

A simple random sample of size \( n=50 \) is obtained from a population whose size is \( \mathrm{N}=25,000 \) and whose population proportion with a specified characteristic is \( p=0.4 \). (a) Describe the sampling distribution of \( \hat{p} \). Choose the phrase that best describes the shape of the sampling distribution. B. Approximately normal because \( n \leq 0.05 \mathrm{~N} \) and \( n p(1-p) \geq 10 \) C. Not normal because \( n \leq 0.05 \mathrm{~N} \) and \( n p(1-p)<10 \) D. Not normal because \( n \leq 0.05 \mathrm{~N} \) and \( n p(1-p) \geq 10 \) Determine the mean of the sampling distribution of \( \hat{p} \).

A simple random sample of size \( n=50 \) is obtained from a population whose size is \( \mathrm{N}=25,000 \) a (a) Describe the sampling distribution of \( \hat{p} \). Choose the phrase that best describes the shape of the sampling distribution. B. Approximately normal because \( n \leq 0.05 \mathrm{~N} \) and \( \mathrm{np}(1-\mathrm{p}) \geq 10 \) C. Not normal because \( \mathrm{n} \leq 0.05 \mathrm{~N} \) and \( \mathrm{np}(1-\mathrm{p})<10 \) D. Not normal because \( \mathrm{n} \leq 0.05 \mathrm{~N} \) and \( \mathrm{np}(1-\mathrm{p}) \geq 10 \) Determine the mean of the sampling distribution of \( \hat{p} \). \( \mu_{\hat{p}}=\square \) (Round to one decimal place as needed.)