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A national study has determined that people who work full time average 43.4 hours worked per week. Assume that the number of house worked per week for those who work full time is normally distributed. Suppose 12% of these workers more than 48 hours. Based on this perecentage, what is the standard deviation of number of hours worked per week for those workers?
According to the local union president, the mean gross income of plumbers in the Salt Lake City area follows the normal probability distribution with a mean $45,000 and a standard deviation of $3,000.
One reads that a business school graduate with an undergraduate degree earns more than a high school graduate with no additional education, and a person with a master's degree or a doctorate earns even more.
Develop a probability tree showing all marginal, conditional, and joint probabilities and what is the probability that a student selected at random failed the test?
Effective on 80% of women and 65% of men. it is known that 66% of the people who take drug are women. That is the probability that the drug is effective?
A linear regression between Y and X produced the following equation for the least squares line:
4 prizes of $350, & 1 prize of $1000. Assume that 15,000 lottery tickets are issued and sold for $1.00. What is the lottery's expected profit per ticket?
Assume that the population is normally distributed. Can we conclude, at the level of significance, that the mean lifetime of light bulbs made by this manufacturer differs from months?
Calculate the difference scores and find MD for the following data from a repeated-measures study. The data below are from an independent-measures experiment comparing three different treatment conditions.
Do you use probability in your profession or real life? You most likely do. For example, chance of rain tomorrow is 27%. We hear similar probabilities in the media all the time.
When 343 college students are randomly selected and surveyed it is found that 110 own a car. find a 99% confidence level for the true population of all college students who own a car.
What are the null and alternative hypotheses for this test? Use ANOVA and the 0.05 level of significance in testing the null hypothesis identified in part (a).
When the conditionally and unconditionally expected values of a discrete random variable would be different?
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