When Aaliyah goes bowling, her scores are normally distributed with a mean of 105 and a standard deviation of 10. Out of the 50 games that she bowled last year, how many of them would she be expected to score less than 113, to the nearest whole number?
When Aaliyah goes bowling, her scores are normally distributed with a mean of 105 and a standard deviation of 10. Out of the 50 games that she bowled last year, how many of them would she be expected to score less than 113, to the nearest whole number?
When Aaliyah goes bowling, her scores are normally distributed with a mean of 105 and a standard deviation of 10. Out of the 50 games that she bowled last year, how many of them would she be expected to score less than 113, to the nearest whole number?
Transcribed Image Text:When Aaliyah goes bowling, her scores
are normally distributed with a mean of
105 and a standard deviation of 10. Out of
the 50 games that she bowled last year,
how many of them would she be expected
to score less than 113, to the nearest whole
number?
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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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