The interquartile range of the standard normal distribution is equal to a. 0.675

Question

The interquartile range of the standard normal distribution is equal to a. 0.675 b. -0.675 c. 0.5 d. 1.35 In a density histogram a. The total area of the bars is equal to 1 b. The scale of the y-axis may be logarithmic c. The class interval widths must be equal to one another d. The sum of the bar heights is equal to 1 A simple random sample of size n is drawn from a population with a skewed distribution. According to the Central Limit Theorem: a. The sampling distribution of the population approaches the normal distribution for large sample sizes n. b. The sampling distribution of the sample mean approaches a skewed distribution for large sample sizes n. c. The sampling distribution of the sample mean approaches the normal distribution for large sample sizes n. d. The sampling distribution of the sample mean approaches the population mean for large sample sizes n. In Analysis of Variance with THREE groups, the alternative hypothesis may be a. mu1 notequalto mu2 notequalto mu3 b. mu1 = mu3, mu2 notequalto mu1, mu2 notequalto mu3 c. mu2 = mu3, mu1 notequalto mu2, mu1 notequalto mu3 d.mu1 = mu2, mu3 notequalto mu1, mu3 notequalto mu2 e. All of the above

Explanation / Answer

1) Option D .

As in standard normal distribution inter quartile range is from -0.675 to 0.675 therefore -0.675 + 0.675=1.35

2) Option C.

In histogram , class intervals width must be equal is the most important characteristics.

3) Option A. As per the central limit theorem it will approach to normal distribution.

4) Option A. If we have three groups we test all the groups are not equal i.e three groups differ significantly.

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