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One: The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? Ho: 6

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The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? Ho: 6 = 130 Hy : 6 > 130 Is the hypothesis test left-tailed, right-tailed, or two-tailed? O Right-tailed test O Two-tailed test O Left-tailed test What parameter is being tested? O Population mean O Population standard deviation O Population proportionThree years ago, the mean prioe of an existing single-family home was $243,760. A real estate broker believes that existing home prices in her neighborhood are higher. (a) Determine the null and alternative hypotheses. (b) Explain what it would mean to make a Type I error. (1:) Explain what it would mean to make a Type II error. (a) State the hypotheses \"0: 'l i: 3 H1 : i: i: $ (Type integers or decimals. Do not round.) (h) Which of the following is a Type I error? 0 A. The broker rejects the hypothesis that the mean price is $243,760, when the true mean price is greater than $243,760. 0 B. The broker rejects the hypothesis that the mean price is $243,760, when it is the true mean cost. 0 C. The broker fails to reject the hypothesis that the mean price is $243,760, when the true mean prioe is greater than $243,760. 0 D. The broker fails to reject the hypothesis that the mean price is $243,760, when it is the true mean cost. (c) Which of the following is a Type II error? 0 A. The broker rejects the hypothesis that the mean price is $243,760, when the true mean price is greater than $243,760. 0 B. The broker rejects the hypothesis that the mean price is $243,760, when it is the true mean cost. 0 c. The broker fails to reject the hypothesis that the mean price is $243,760, when it is the true mean cost. 0 D. The broker fails to reject the hypothesis that the mean price is $243,760, when the true mean price is greater than $243,760, According to a report, the standard deviation of monthly cell phone bills was $48.07 three years ago. A researcher suspects that the standard deviation of monthly cell phone bills is less today. (a) Determine the null and alternative hypotheses. (b) Explain what it would mean to make a Type I error. ((2) Explain what it would mean to make a Type II error. Ho: iv 1$ H1: :7 :7 $ (Type integers or decimals. Do not round.) (b) Explain what it would mean to make a Type I error. Choose the correct answer below. O A. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is less than $48.07, when in fact the standard deviation of the bill is less than $48.07. 0 B. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is less than $48.07, when in fact the standard deviation of the bill is $48.07. 0 C. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is different from $48.07, when in fact the standard deviation of the bill is different from $48.07. 0 D. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $48.07, when in fact the standard deviation of the bill is $48.07. (c) Explain what it would mean to make a Type [I error. Choose the correct answer below. 0 A. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is less than $48.07, when in fact the standard deviation of the bill is less than $48.07. 0 B. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is less than $48.07, when in fact the standard deviation of the bill is $48.07. 0 c. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is different from $48.07, when in fact the standard deviation of the bill is different from $48.07. 0 D. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is less than $48.07, when in fact the standard deviation of the bill is less than $48.07

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