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As a condition of employment, Fashion Industries applicants must pass a drug test. Fashion Industries randomly tests its employees throughout the year. Of the last 225 applicants 28 failed the test.
1) Develop a 90 percent confidence interval for the proportion of applicants that fail the test. (Round your answers to 2 decimal places.)
For the applicants the confidence interval is between and .
2) Would it be reasonable to conclude that more than 11 percent of the applicants are now failing the test?
Can it be concluded that, X, number of boys in two-child families of preeminent scholars, is binomiallydistributed? Let α=0.05.
MATH1550H: Assignment: Question: Experience shows that X, the number of customers entering a post office during any period of time t, is a random variable the probability mass function of which is of the form
What is the OR of getting cancer fora late child birth woman compared to an early first birth woman?
They found that those with higher levels of cigarette use had lower GPAs, and vice versa. What can you rightfully conclude from this? Why? Be specific about what this kind of information may indicate and mean.
The firm examined 35 randomly chosen fax transmissions during the next year, yielding a sample mean of 14.44 with a standard deviation of 4.45 pages.
The function that defines the probability distribution of a continuous random variable is a?For a continuous random variable x, the probability density function f(x) represents.
Using the 0.95 degree of confidence, what is the interval estimate for the population proportion (to the nearest tenth of a percent)?
The firm has already decided that any sample mean below 78 or above 82 will signal the workers that the process is not working properly.
Use frequency distribution to create a probability distribution, determine the (b) mean,(c) variance and (d) standard deviation of probability distribution and (e) interpret results in context of real life situation.
Use a decision tree to describe the possible strategies and the consequences (or payoffs) of each. Show your decision tree.
Assume that the smiling time of eight-week old babies, in seconds, follows a uniform distribution between 0 and 23 seconds, inclusive. This means that any smiling time from 0 to and including 23 seconds is equally likely.
a) Do a test to see if workers attitudes on this matter have changed using a 90% alpha. b) Explain to management what your findings are and what this suggests about future decisions vs work options.
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