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Problem 1. One study on the effects of cannabis used rats as test organisms; data in the table below describe the weight (g) of livers harvested from some of the test rats. 13.47, 12.19, 6.35, 12.62, 6.8, 6.78, 6.62, 10.3, 10.21, 8.47, 5.56,9.83 7.62, 4, 9.82, 5.2, 8.61, 11.7, 9.76, 12.16, 7.87, 7.16, 12.31, 16.9,6.72 Use these data to answer the following questions. a) Fill in the missing sample statistics in the table; enter values to three decimal places. Statistic Value Statistic Value Sample size Estimated standard deviation Minimum Estimated variance Maximum Estimated skewness Mean Estimated kurtosis b) Create a boxplot of the data, and include that figure as part of your solution. How many outliers do you think there are in this dataset? c) Create a histogram of the data, and include that figure as part of your solution. What parametric distribution do you think is appropriate for the data? d) Createa quantile-quantile plotofthedatashowing the sample quantiles asa function ofthe theoretical quantiles of a normal distribution. Include a theoretical ideal fit reference line. Include that figure as part of your solution. Do the data appear to fit a normal distribution? Assume you elected to model the data using a normal distribution: e) What parameter values would you recommend for that model? f) What are the estimated standard errors of those parameters? The following questions are based on the assumption that a normal distribution is an appropriate model. g) What are the lower and upper limits of an 85% confidence interval on the mean? h) What are the lower and upper limits of an 85% confidence interval onthe standard deviation? i) What are the lower and upper limits of an 85% confidence interval on a prediction for the next sample drawn?

Problem 1. One study on the effects of cannabis used rats as test organisms; data in the table below describe the weight (g) of livers harvested from some of the test rats. 13.47, 12.19, 6.35, 12.62, 6.8, 6.78, 6.62, 10.3, 10.21, 8.47, 5.56,9.83 7.62, 4, 9.82, 5.2, 8.61, 11.7, 9.76, 12.16, 7.87, 7.16, 12.31, 16.9,6.72 Use these data to answer the following questions. a) Fill in the missing sample statistics in the table; enter values to three decimal places. Statistic Value Statistic Value Sample size Estimated standard deviation Minimum Estimated variance Maximum Estimated skewness Mean Estimated kurtosis b) Create a boxplot of the data, and include that figure as part of your solution. How many outliers do you think there are in this dataset? c) Create a histogram of the data, and include that figure as part of your solution. What parametric distribution do you think is appropriate for the data? d) Createa quantile-quantile plotofthedatashowing the sample quantiles asa function ofthe theoretical quantiles of a normal distribution. Include a theoretical ideal fit reference line. Include that figure as part of your solution. Do the data appear to fit a normal distribution? Assume you elected to model the data using a normal distribution: e) What parameter values would you recommend for that model? f) What are the estimated standard errors of those parameters? The following questions are based on the assumption that a normal distribution is an appropriate model. g) What are the lower and upper limits of an 85% confidence interval on the mean? h) What are the lower and upper limits of an 85% confidence interval onthe standard deviation? i) What are the lower and upper limits of an 85% confidence interval on a prediction for the next sample drawn?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Problem 1. One study on the effects of cannabis used rats as test organisms; data in the table below describe the weight (g) of livers harvested from some of the test rats. 13.47, 12.19, 6.35, 12.62, 6.8, 6.78, 6.62, 10.3, 10.21, 8.47, 5.56,9.83 7.62, 4, 9.82, 5.2, 8.61, 11.7, 9.76, 12.16, 7.87, 7.16, 12.31, 16.9,6.72 Use these data to answer the following questions. a) Fill in the missing sample statistics in the table; enter values to three decimal places. Statistic Value Statistic Value Sample size Estimated standard deviation Minimum Estimated variance Maximum Estimated skewness Mean Estimated kurtosis b) Create a boxplot of the data, and include that figure as part of your solution. How many outliers do you think there are in this dataset? c) Create a histogram of the data, and include that figure as part of your solution. What parametric distribution do you think is appropriate for the data? d) Createa quantile-quantile plotofthedatashowing the sample quantiles asa function ofthe theoretical quantiles of a normal distribution. Include a theoretical ideal fit reference line. Include that figure as part of your solution. Do the data appear to fit a normal distribution? Assume you elected to model the data using a normal distribution: e) What parameter values would you recommend for that model? f) What are the estimated standard errors of those parameters? The following questions are based on the assumption that a normal distribution is an appropriate model. g) What are the lower and upper limits of an 85% confidence interval on the mean? h) What are the lower and upper limits of an 85% confidence interval onthe standard deviation? i) What are the lower and upper limits of an 85% confidence interval on a prediction for the next sample drawn?
Transcribed Image Text:Problem 1. One study on the effects of cannabis used rats as test organisms; data in the table below describe the weight (g) of livers harvested from some of the test rats. 13.47, 12.19, 6.35, 12.62, 6.8, 6.78, 6.62, 10.3, 10.21, 8.47, 5.56,9.83 7.62, 4, 9.82, 5.2, 8.61, 11.7, 9.76, 12.16, 7.87, 7.16, 12.31, 16.9,6.72 Use these data to answer the following questions. a) Fill in the missing sample statistics in the table; enter values to three decimal places. Statistic Value Statistic Value Sample size Estimated standard deviation Minimum Estimated variance Maximum Estimated skewness Mean Estimated kurtosis b) Create a boxplot of the data, and include that figure as part of your solution. How many outliers do you think there are in this dataset? c) Create a histogram of the data, and include that figure as part of your solution. What parametric distribution do you think is appropriate for the data? d) Createa quantile-quantile plotofthedatashowing the sample quantiles asa function ofthe theoretical quantiles of a normal distribution. Include a theoretical ideal fit reference line. Include that figure as part of your solution. Do the data appear to fit a normal distribution? Assume you elected to model the data using a normal distribution: e) What parameter values would you recommend for that model? f) What are the estimated standard errors of those parameters? The following questions are based on the assumption that a normal distribution is an appropriate model. g) What are the lower and upper limits of an 85% confidence interval on the mean? h) What are the lower and upper limits of an 85% confidence interval onthe standard deviation? i) What are the lower and upper limits of an 85% confidence interval on a prediction for the next sample drawn?
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