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kramer
3 years ago
11

The average estimated hours a person in the United States spent playing video games per year from 2002 to 2012 were 71, 80, 82,

78, 80, 91, 107, 121, 125, 131, and 142. Use the statistics calculator to find the variance and population standard deviation. Round answers to the nearest whole number.
Mathematics
2 answers:
Agata [3.3K]3 years ago
8 0

Answer:

Variance = 579 and Standard deviation = 24

Step-by-step explanation:

The given data set is the average estimated hours of a person in the U.S. spent playing video games per year from 2002 to 2012.

71, 80, 82, 78, 80, 91, 107, 121, 125, 131, 142.

We have to find the variance and standard deviation.

Formula for standard deviation :

\sqrt{\frac{\sum (x-\bar{x})}{n}}

Using the step by step approach to find the standard deviation.

1. Calculate the mean

\bar{x}=\frac{\sum x}{n}

                 = \frac{1108}{11}

                 = 100.73

2. Subtract the mean from each value and square them then add all the squared result.

Time (x)                      x-\bar{x}                                       (x-\bar{x})^{2}

71                                 -29.73                           883.8729

80                                -20.73                           429.7329

82                                -18.73                            350.8129

78                                -22.73                           516.6529

80                                -20.73                           429.7329

91                                 -9.73                               94.6729

107                                6.27                                39.3129

121                               20.27                              410.8729

125                              24.27                              589.0329

131                               30.27                               916.2729

<u>142                               41.27                              1,703.2129</u>

                                                                          6,364.1819

3. To calculate Variance (S²) divide this number by the total number of the data

Variance (S²) = \frac{6364.1819}{11}

Variance =  578.56 ≈ 579

4. For standard deviation

Standard deviation = \sqrt{579}

                                = 24.0624188 ≈ 24

Variance = 579 and Standard deviation = 24

ozzi3 years ago
3 0

Answer:

Population variance 579

Population standard deviation 24

Step-by-step explanation:

The average estimated hours a person in the United States spent playing video games per year from 2002 to 2012 were 71, 80, 82, 78, 80, 91, 107, 121, 125, 131, and 142.

The population variance is given by:

\sigma^2=\frac{\sum(x-\mu)^2}{n}

\mu=\frac{71+80+82+78+80+91+107+121+125+131+142}{11}

\mu=\frac{1108}{11}

This implies that:

\sigma^2=\frac{(71-\frac{1108}{11})^2+(80-\frac{1108}{11})^2+(82-\frac{1108}{11})^2+(78-\frac{1108}{11})^2+(80-\frac{1108}{11})^2+...+(142-\frac{1108}{11})^2}{11}

\sigma^2=\frac{70006}{121} =579 to the nearest whole number

The population standard deviation is

\sigma=\frac{\sqrt{70006} }{11}=24 to the nearest whole number.

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Step-by-step explanation:

a. # We are given that the probability that a person in the United States has Type B+ blood = 0.10. Also we are told that four unrelated people in the United States are selected at random.

#We have to find here the probability that all four have type B+ blood.

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