The distribution of batting averages for all Major League Baseball players very closely follows a normal distribution, with a population mean of 0.261 and a standard deviation of 0.033, The 68-95-99.7...

14.What is the range of the center 50% of the batting average? 13. How high most players batting average be to fall in the top 25%? 16. What percentage of the batting averages are below 0.95? 15. What percentage of the batting averages fall between 0.228 and 0.294? The distribution of batting averages for all Major League Baseball players very closely follows a normal<br>distribution, with a population mean of 0.261 and a standard deviation of 0.033,<br>The 68-95-99.7 Rule for Normal Distributions<br>According to the 68-95-99,7 rule, in any normal distribution:<br>RULE<br>Quartiles of a Normal Distribution<br>About 68% of the observations fall within<br>About 95% of the observations fall within 2 standard deviations of the mean.<br>About 99.7% of the observations fall within 3 standard deviations of the<br>DEFINITION<br>The quartiles of a normal distribution are located about 0.67 (which is about<br>2/3) of a standard deviation away from the mean. In particular, the first quartile is<br>located at 0.67 standard deviation below the mean, and, by symmetry, the third<br>quartile is located at 0.67 standard deviation above the mean.<br>standard deviation of the mean.<br>mean.<br>14. What is the range of the center 50% of<br>the batting averages?<br>13. How high must a player's batting average be to fall<br>in the top 25%?<br>16. What percentage of the batting averages<br>are below 0.195?<br>15. What percentage of the batting averages fall<br>between 0.228 and 0.294?<br>10. Draw<br>frequency dis.<br>wtlies<br>

Extracted text: The distribution of batting averages for all Major League Baseball players very closely follows a normal distribution, with a population mean of 0.261 and a standard deviation of 0.033, The 68-95-99.7 Rule for Normal Distributions According to the 68-95-99,7 rule, in any normal distribution: RULE Quartiles of a Normal Distribution About 68% of the observations fall within About 95% of the observations fall within 2 standard deviations of the mean. About 99.7% of the observations fall within 3 standard deviations of the DEFINITION The quartiles of a normal distribution are located about 0.67 (which is about 2/3) of a standard deviation away from the mean. In particular, the first quartile is located at 0.67 standard deviation below the mean, and, by symmetry, the third quartile is located at 0.67 standard deviation above the mean. standard deviation of the mean. mean. 14. What is the range of the center 50% of the batting averages? 13. How high must a player's batting average be to fall in the top 25%? 16. What percentage of the batting averages are below 0.195? 15. What percentage of the batting averages fall between 0.228 and 0.294? 10. Draw frequency dis. wtlies

Jun 09, 2022
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