Twelve different video games showing substance use were observed and the duration of times of gameplay (in seconds) are listed below. The design of the study justifies the assumption that the sample can be treated as a simple random sample. Use the sample data to construct a 95%confidence interval estimate of σ, the standard deviation of the duration times of gameplay. Assume that this sample was obtained from a population with a normal distribution. 4,087 4,683 4,759 3,848 4,528 3,962 3,825 4,375 4,416 4,719 3,861 3,819
Twelve different video games showing substance use were observed and the duration of times of gameplay (in seconds) are listed below. The design of the study justifies the assumption that the sample can be treated as a simple random sample. Use the sample data to construct a 95%confidence interval estimate of σ, the standard deviation of the duration times of gameplay. Assume that this sample was obtained from a population with a normal distribution. 4,087 4,683 4,759 3,848 4,528 3,962 3,825 4,375 4,416 4,719 3,861 3,819
Twelve different video games showing substance use were observed and the duration of times of gameplay (in seconds) are listed below. The design of the study justifies the assumption that the sample can be treated as a simple random sample. Use the sample data to construct a 95%confidence interval estimate of σ, the standard deviation of the duration times of gameplay. Assume that this sample was obtained from a population with a normal distribution. 4,087 4,683 4,759 3,848 4,528 3,962 3,825 4,375 4,416 4,719 3,861 3,819
Twelve different video games showing substance use were observed and the duration of times of gameplay (in seconds) are listed below. The design of the study justifies the assumption that the sample can be treated as a simple random sample. Use the sample data to construct
a 95%confidence interval estimate of σ, the standard deviation of the duration times of gameplay. Assume that this sample was obtained from a population with a normal distribution.
4,087
4,683
4,759
3,848
4,528
3,962
3,825
4,375
4,416
4,719
3,861
3,819
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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