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1. A 2005 study found that 202 women held board seats out of a total of 1,195 seats in the Fortune 100 companies. A 2003 study found that 779 women held board seats out of a total of 5,727 seats in the Fortune 500 companies. Treating these as random samples (since board seat assignments change often), can we conclude that Fortune 100 companies have a greater proportion of women board members than the Fortune 500? (a) State the hypotheses. (b) Calculate the sample proportions. (c) Find the test statistic and its p-value. What is your conclusion at & 945; = .05? (d) If statistically significant, can you suggest factors that might explain the increase? (Data are from The 2003 Catalyst Census of Women Board Directors of the Fortune 500, and "Women and Minorities on Fortune 100 Boards," The Alliance for Board Diversity, May 17, 2005.)
What is an example of a normal distribution? please articulate what the example is (post the graph, picture of the graph, etc); discuss what the normal distribution means for this example, and how the graph is being used to articulate the problem.
Your friend tells you that the proportion of active Major League Baseball players who have a batting average greater than .300 is greater than 0.56, a claim you would like to test. The hypotheses for this test are Null Hypothesis: p ≤ 0.56, Altern..
At the 5% significance level, if the sample proportion is .45, and the standard error of the sample proportion is .035, the appropriate conclusion would be:
What is the probability that more than 25% of the business travelers say that the reason for their most recent business trip was an internal company visit?
Suppose that an automobile manufacturer designed a radically new lightweight engine and wants to recommend the grade of gasoline to use.
How many boxes must the processor sample to be 95 percent confident that the sample mean does not differ from the population mean by more than 0.2 pounds?
Given length an athlete throws a hammer is a normal random variable with mean 50 feet and standard deviation five feet, what is the probability he throws it: Between 50 feet and 60 feet.
If 3 different factor levels show a lot of variation between levels this implies:
Suppose an unfair coin comes up tails 42% of the time if it is flipped. If the coin is flipped 13 times, what is the probability that?
Sales manager wishes to award sales representatives who earn the largest commissions a bonus of= $1,000 .He can award bonus to 20% of representatives. Determine cutoff point between those who earn bonus and those who don't?
Given the following frequency distribution, find the mean, variance, and standard deviation. Please show all of your work so I can see how to do this for the future. This one is good example of what I can do in future for real estate.
The table shows the results of a survey im which 180 family were asked if they own a home and if they will be purchasing a new vehicle this year.
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