TRUE FALSE The standard normal distribution is a normal distribution in which both the mean and standard deviation have a value of 0. TRUE FALSE If either form of test is valid, using a non-parametric...

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TRUE<br>FALSE<br>The standard normal distribution is a normal distribution in which both the<br>mean and standard deviation have a value of 0.<br>TRUE<br>FALSE<br>If either form of test is valid, using a non-parametric test usually gives you more<br>statistical power than analyzing the data with a parametric test.<br>TRUE FALSE<br>The central limit theorem states that the sum (or mean) of a large number of<br>variables will follow a normal distribution.<br>TRUE FALSE<br>When the t-statistic that you calculate from your data is negative and the abso-<br>lute value is larger than the critical value, then you will reject the null hypothesis.<br>

Extracted text: TRUE FALSE The standard normal distribution is a normal distribution in which both the mean and standard deviation have a value of 0. TRUE FALSE If either form of test is valid, using a non-parametric test usually gives you more statistical power than analyzing the data with a parametric test. TRUE FALSE The central limit theorem states that the sum (or mean) of a large number of variables will follow a normal distribution. TRUE FALSE When the t-statistic that you calculate from your data is negative and the abso- lute value is larger than the critical value, then you will reject the null hypothesis.

Jun 11, 2022
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