see that just as the central limit theorem predicted, the distribution is approximately nor-
mal, the mean is again at m550, and the standard deviation has been reduced to approxi-
mately.
You can get a better idea of the difference in the normality of the sampling distribution
when n 5 5 and n 5 30 by looking at Figure 7.2c. This figure presents Q-Q plots for the
two sampling distributions, and you can see that although the distribution for n 5 5 is not
very far from normal, the distribution with n 5 30 is even closer to normal.28.87> 130 =5.27
182 Chapter 7 Hypothesis Tests Applied to Means
5.0010.015.020.025.030.035.040.045.050.055.060.065.070.075.080.085.090.0Mean of 5Frequency0100200300400500Std. Dev = 12.93
Mean = 49.5
N = 5000.00Figure 7.2a Sampling distribution of the mean when n 5 5Figure 7.2b Sampling distribution of the mean when n 5 30Mean of 30 observations32.034.036.038.040.042.044.046.048.050.052.054.056.058.060.062.064.066.068.070.0Frequency10008006004002000Std. Dev = 5.24
Mean = 50.1
N = 5000.00