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Find out the probability using Normal distribution. According to Advertising Age, average base salary for women working as copywriters in advertising firms is higher than average base salary for men. The average base salary for women is $67,000 and the average base salary for men is $65,500 (Working Women, July/August 2000). Suppose salaries are normally distributed and that the standard deviation is $7000 for both men and women.
a.What is the probability of woman receiving a salary in excess of $75,000.
b.What is the probability of man receiving a salary in excess of $75,000.
c.What is the probability of woman receiving a salary below $50,000.
d.How much would a woman have to make to have a higher salary than 99 percent of her male counterparts?
Would Kruskal-Wallis be the suitable statistical procedure to test this Research Question (RQ)? Describe your answer. When would you use Chi-Square test rather than One-Way Anova?
A sample of 100 observations has a mean of 2.99 and a standard deviation s equal to 0.5 Conduct the following test of hypotheses about the corresponding population mean at a level of significance of α = 0.2
how many chocolate chip cookies will he need to sample to estimate the mean to within 2, what is a 99% confidence interval for the average number of chips per cookie?
CASE STUDY: Are the Fish Safe to Eat? Assessing which Factors affect Mercury Levels in Fish in Maine Lakes.
Why is estimating a multiple regression model just as easy as bivariate regression?
Which of the following studies used a participant observer approach?
Assuming that these are a random sample of all publicly traded companies, construct a 95% confidence interval for the overall noncompliance proportion.
Carry out F test for significance of straight line regression of Y on X and interpret your results.
Use frequency distribution to create a probability distribution, determine the (b) mean,(c) variance.
In a distribution of scores, the arithmetic mean is 51, the median is 55, and the mode is 62. What is the score, in percentile form, of a subject who does less well than two-thirds of the sample?
The sample information is reported below. At the .10 significance level can we conclude that there is a difference in the amounts quoted?
The dimension is supposed to be 224 mm and the variability of the manufacturing process is unknown. Is there evidence that the mean dimension is not 224 mm?
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