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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.)

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

Describe the sampling distribution of \( \hat{p} \). Assume the size of the population is 25,000 . \( n=800, p=0.325 \) Describe the shape of the sampling distribution of \( \hat{p} \). Choose the correct answer below. A. The shape of the sampling distribution of \( \hat{p} \) is not normal because \( n \leq 0.05 N \) and \( n p(1-p)<10 \). C. The shape of the sampling distribution of \( \hat{p} \) is approximately normal because \( n \leq 0.05 N \) and \( n p(1-p) \) D. The shape of the sampling distribution of \( \hat{p} \) is approximately normal because \( n \leq 0.05 N \) and \( n p(1-p) \) Determine the mean of the sampling distribution of \( \hat{p} \). \( \mu_{\hat{p}}=\square \) (Round to three decimal places as needed.)

4. The estimated regression equation in the previous question is (a) \( \widehat{y}=0.180-7.276 x \) (b) \( \widehat{y}=55.788+2.788 x \) (c) \( \widehat{y}=-7.276+0.180 x \) (d) \( \widehat{y}=2.788+55.788 x \)