The interquartile range of the standard normal distribution is equal to (a) 0.67

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 barge 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) mu_1 notequalto mu_2 notequalto mu_3 (b) mu_1 = mu_3, mu_2 notequalto mu_1, mu_2 notequalto mu_3 (c) mu_2 = mu_3, mu_1 notequalto mu_2, mu_1 notequalto mu_3 (d) mu_1 = mu_2, mu_3 notequalto mu_1, mu_3 notequalto mu_2 (e) All of the above The Scientific Method was used to test hypotheses about a population parameter. Decisions e based upon interpreting the test statistic that is computed assuming that the null hypothecs is true. If the observed value of the test statistic can be explained by random chance, then conclude the null hypothesis is rejected the null hypothesis is accepted we cannot reject the null hypothesis he null hypothesis is proven

Explanation / Answer

Solution: As per chegg policy, I can give solution of first question only.

Solution of problem 9:

For a normal distribution, = 1, so c = IQR / = IQR = 1.35
Since you've been told c is a constant, that means c is always 1.35

Thus, option (d) is correct.

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