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A study of radio listening behavior of married men and women during prime-time listening hours. Based on past listening records, it has been determined that during prime time, husbands are listening to the radio 60% of the time. When the husband is listening to the radio, 40% of the time the wife is also listening. When the husband is not listening to the radio, 30% of the time the wife is listening to the radio. Find the probability that:
a. If the wife is listening to the radio, the husband is also listening to the radio.b. The wife is listening to the radio during prime time.
How many jackets should the store owner order if she wants to maximize her expected profit?
What is the probability that the offspring will not have the disease. In other words what is the probability that offspeing will have genotype ss interpret this probability.
Make use of normal probability distribution features of EXCEL to help determine the probability.
Types of digital cameras are equal, is there evidence of a difference in the mean battery life between the two types of digital cameras at the 95% confidence level?
Faced with rising fax costs, a firm issued a guideline that transmissions of 10 pages or more should be sent by 2-day mail instead.
Why are estimations and confidence intervals important? Do confidence intervals and estimation play a role in the selection of sample size?
1) There are 500 employees in a firm, 45% are female. A sample of 60 employees is selected randomly. a) Determine the standard error of the proportion.
Assume that the distribution is normal. Based on the Empirical Rule, how many students scored between 57 and 93?
A running coach wanted to see whether runners ran faster after eating spaghetti the night before. A group of six runners was randomly chosen for this study.
The regression of Y on X predicts? When predicting Y, adding a second predictor variable to the first predictor variable X.
Supposes that the diameter of bearings are independent normally distributed random variables with mean µB = 1.005cm and variance σ²B = (0.003)² cm² . The diameter of shafts are independent normally distributed random variables having mean µB = 0.9..
One state lottery has 300 prizes of $1, 65 prizes of $10, 18 prizes of $75, 6 prizes of $325, 2 prizes of $1000, and 1 prize of $2000. Assume that 32,000 lottery tickets are issued and sold for $1.
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