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Assume that about 45% of all U.S. adults try to pad their insurance claims. Suppose that you are the director of an insurance adjustment office. Your office has just received 110 insurance claims to be processed in the next few days. What is the probability that fewer than 45 of the claims have been padded?
Which of these best approximates the probability that a flight will land between 40 and 45 minutes late? .071 .284 .375 .643 .929.
Among 134 randomly selected students, 9.3% refused to respond on a survey on cheating while among 154 male college students, 14.6% refused to respond to the same survey. Determine test statistic, critical values, p-value, and conclusion.
That a sample of 40 females gives an average production which is more than that based on a sample of 36 males by more than 6 items, assuming sampling with replacement, and that, the sample size for the two sexes being the same, the average product..
Develop a linear regression model for these data and forecast the occupancy rate for next year if the Blue Sox win 88 games.
If the weekly salaries are normally distributed, estimate the fraction of employees that make more than $300 per week.
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. (a) At the .01 level of significance, is the true mean greater than 10? (b) Use Excel to find the..
How would you explain the analysis of variance, assuming that your audience has not had a statistics class before?
A standard IQ test has mean of 98 and a standard deviation of 16. We want to be 99% certain that we are 8 IQ points of the true mean. Determine the sample size.
Michelle is a counselor at the local crises center. She wishes to determine if there is a relationship between the gender of an individual and the amount of alcohol consumed.
Obtain descriptive statistics and graphic displays for these salt taste indices. Do the indices appear to be normally distributed? Why or why not?
Customers who enter the store, and ask them if they have a Ralph's card. Suppose they solicit 400 customers one day, and find that 160 of them have a Ralph's card.
What is the probability the circuit will last more than 3000 hrs. What is the probability the circuit will last between 2500 and 2750 hours and what is the probability the circuit will fail within the first 2000 hrs.
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