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Suppose the total number of money X you take out of your checking account in a month is uniformly distributed between 2 and 12. Find the probability density function and the cumulative distribution function of x.
Find the empirical probability that an iris bulb of this type will bloom. Give answer as a fraction in lowest terms. How many of the bulbs should she plant next fall if she would like at least 52 to bloom?
More than 13 successes in 19 trials with a 40 percent chance of success. (Round the answer to 4 decimal places.) Fewer than 7 successes in 15 trials with a 40 percent chance of success. (Round the answer to 4 decimal places.)
A medical doctor wishes to test the claim that the standard deviation of the systolic blood pressure of deep sea divers is less than 450. To do so, she selected a random sample of 20 divers and found s = 432.
How many integers are there between 5 and 14? How Many rational numbers are there between 5 and 14?
Calculate the t-test statistic by hand. I don't understand steps to solve this problem. If you could provide me with a step by step narrative it would be appreciated.
A pharmaceutical company has developed a screening test for a rare disease that afflicted 2% of the population. Unfortunately, the reliability of this test is only 80%, which means that 20% of the tested will get a false positive.
Thirty homes responded, and the sample mean water use per day was 77 gallons with a standard deviation of 9.0 gallons per day.
Suppose population standard deviation for those drinking regular coffee is 1.20 cups per day and 1.36 cups per day for those drinking decaffeinated coffee.
Can we conclude at the 5% significance level that the population mean weight of athletic men is lower than the population mean weight of non-athletic men?
If you select a random sample of 16 cups and are willing to have an α = 0.05 risk of committing a Type I error, compute the probability of a Type II error (β) if the population mean amount dispensed is actually:
Examining more than one independent variable. Would using several t-tests be appropriate test to use? If not, what would appropriate test be and why?
9 of 199 males receiving tPa and 13 of 97 males in control group died within 12 months. Create observed and expected contingency tables for these data.
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