According to a report, the standard deviation of monthly cell phone bills was $49.68 three years ago. A researcher suspects that the standard deviation of monthly cell phone bills is different from today. (a) Determine the null and alternative hypotheses. (b) Explain what it would mean to make a Type I error. (c) Explain what it would mean to make a Type Il error. a) State the hypotheses. Ho: (Type integers or decimals. Do not round.) (b) Explain what it would mean to make a Type l 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 different from $49.68, when in fact the standard deviation of the bill is different from $49.68. O B. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is $49.68. OC. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is higher than $49.68. O D. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is $49.68. (c) Explain what it would mean to make a Type Il error. Choose the correct answer below. O A. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is different from $49.68. O B. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is higher than $49.68. OC. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is different from $49.68. O D. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is $49.68.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
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According to a report, the standard deviation of monthly cell phone bills was $49.68 three years ago. A researcher suspects that the standard deviation of monthly cell phone bills is different from today.
(a) Determine the null and alternative hypotheses.
(b) Explain what it would mean to make a Type I error.
(c) Explain what it would mean to make a Type Il error.
(a) State the hypotheses.
Hg:
H,:
(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 different from $49.68, when in fact the standard deviation of the bill is different from $49.68.
O B. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is $49.68.
OC. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is higher than $49.68.
O D. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is $49.68.
(c) Explain what it would mean to make a Type Il error. Choose the correct answer below.
O A. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is different from $49.68.
O B. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is higher than $49.68.
O C. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is different from $49.68.
O D. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is $49.68.
Transcribed Image Text:According to a report, the standard deviation of monthly cell phone bills was $49.68 three years ago. A researcher suspects that the standard deviation of monthly cell phone bills is different from today. (a) Determine the null and alternative hypotheses. (b) Explain what it would mean to make a Type I error. (c) Explain what it would mean to make a Type Il error. (a) State the hypotheses. Hg: H,: (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 different from $49.68, when in fact the standard deviation of the bill is different from $49.68. O B. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is $49.68. OC. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is higher than $49.68. O D. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is $49.68. (c) Explain what it would mean to make a Type Il error. Choose the correct answer below. O A. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is different from $49.68. O B. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is higher than $49.68, when in fact the standard deviation of the bill is higher than $49.68. O C. The sample evidence did not lead the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is different from $49.68. O D. The sample evidence led the researcher to believe the standard deviation of the monthly cell phone bill is different from $49.68, when in fact the standard deviation of the bill is $49.68.
Some have argued that throwing darts at the stock pages to decide which companies to invest in could be a successful stock-picking strategy. Suppose a researcher decides to test this theory and randomly chooses 300 companies to invest
in. After 1 year, 156 of the companies were considered winners; that is, they outperformed other companies in the same investment class. To assess whether the dart-picking strategy resulted in a majority of winners, the researcher tested H,:
p= 0.5 versus H,: p> 0.5 and obtained a P-value of 0.2442. Explain what this P-value means and write a conclusion for the researcher. (Assume a is 0.1 or less.)
Choose the correct explanation below.
O A. About 156 in 300 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is greater than 0.5.
O B. About 24 in 100 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is greater than 0.5.
OC. About 24 in 100 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is 0.5.
O D. About 156 in 300 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is 0.5.
Choose the correct conclusion below.
O A. Because the P-value is small, do not reject the null hypothesis. There is not sufficient evidence to conclude that the dart-picking strategy resulted in a majority of winners.
O B. Because the P-value is large, do not reject the null hypothesis. There is not sufficient evidence to conclude that the dart-picking strategy resulted in a majority of winners.
OC. Because the P-value is large, reject the null hypothesis. There is sufficient evidence to conclude that the dart-picking strategy resulted in a majority of winners.
O D. Because the P-value is small, reject the null hypothesis. There is sufficient evidence to conclude that the dart-picking strategy resulted in a majority of winners.
Transcribed Image Text:Some have argued that throwing darts at the stock pages to decide which companies to invest in could be a successful stock-picking strategy. Suppose a researcher decides to test this theory and randomly chooses 300 companies to invest in. After 1 year, 156 of the companies were considered winners; that is, they outperformed other companies in the same investment class. To assess whether the dart-picking strategy resulted in a majority of winners, the researcher tested H,: p= 0.5 versus H,: p> 0.5 and obtained a P-value of 0.2442. Explain what this P-value means and write a conclusion for the researcher. (Assume a is 0.1 or less.) Choose the correct explanation below. O A. About 156 in 300 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is greater than 0.5. O B. About 24 in 100 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is greater than 0.5. OC. About 24 in 100 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is 0.5. O D. About 156 in 300 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is 0.5. Choose the correct conclusion below. O A. Because the P-value is small, do not reject the null hypothesis. There is not sufficient evidence to conclude that the dart-picking strategy resulted in a majority of winners. O B. Because the P-value is large, do not reject the null hypothesis. There is not sufficient evidence to conclude that the dart-picking strategy resulted in a majority of winners. OC. Because the P-value is large, reject the null hypothesis. There is sufficient evidence to conclude that the dart-picking strategy resulted in a majority of winners. O D. Because the P-value is small, reject the null hypothesis. There is sufficient evidence to conclude that the dart-picking strategy resulted in a majority of winners.
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