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In the week before and the week after a holiday there were 10,000 total deaths and 4979 of them occcured in the week before the holiday.
a. Construct a 90% confidence interval estimate of the propotion of deaths in the week before the holiday to the total deaths in the week before and the week after the holiday
b. based on the result does there appear to be any indication taht people can temporarily postpone their death to survive the holiday?
An article in USA Today stated that "Internal surveys paid for by directory assistance providers show that even the most accurate companies give out wrong numbers 15% of the time."
Assume that the readings on the thermometers are normally distributed with a mean of 0 degrees and a standard deviation of 1 degrees C.
A professor obtains SAT scores and freshman grade point averages (GPAs) for a group of n=15 college students. The SAT scores have a mean of M=580 with SS=22,400, and the GPAs have a mean of 3.10 with SS=1.26, and SP=84.
a game consist of spinning a spinner and then rolling a number cube. the spinner is equally likely to land on any 1 of
During the past year, the mean sales of Wshington Reds in cases was 45,000 cases, and the standard deviaiton was 4,450. How many cases of Washington Reds should be brought to market? Assume the sales follow a normal distribution.
twenty students agreed to participate in a new type of learning program to increase their typing efficiency. it was
there is about 80 chance that a randomly chosen person aged 20 will still be alive at age 65. suppose we randomly
Identify each variable in the formula for the binomial probability density function. Also, explain what the fraction: n! / (n-x)!x! calculates.
Complete the table and answer the following questions. Use the .05 significance level.
If you randomly assign participants to groups, can you suppose the groups are equivalent at the beginning of the study?
supposed that a b and c are mutually independent events and that pa0.5 pb0.8 and pc0.9. find the probabilities that
What is the probability of a false negative test (the probability that a person having muscular distrophy tests negative)?
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