The results from your study indicate that age is normally distributed with a sta

Question

The results from your study indicate that age is normally distributed with a standard deviation of two and a mean of 22. You expect a significant number of outliers in the right tail 68% of the subjects to be between 20 and 24 a large age range to be represented 95% of the respondents to be between 20 and 24 years old You complete your research and find that you have a lot of outliers to the right of yo mean You know this means your data is: negatively skewed normally distributed inaccurate positively skewed

Explanation / Answer

In statistics, the so-called 68–95–99.7 rule is a shorthand used to remember the percentage of values that lie within a band around the mean in a normal distribution with a width of one, two and three standard deviations, respectively; more accurately, 68.27%, 95.45% and 99.73% of the values lie within one, two and three standard deviations of the mean, respectively. In mathematical notation, these facts can be expressed as follows, where x is an observation from a normally distributed random variable, is the mean of the distribution, and is its standard deviation:

So answer is 68% of the subjects to be between 20 and 24 as mu=22 and sd=2

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