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On a recent prostate cancer screening test, Dale received positive results. It is known that this typescreening test will show 99% positive for people who have cancer and 1% positive if the person did not have cancer. Suppose that about 0.1% positive out people who take the test actually have cancer. What is the probability that Dale actually has cancer?
Internet users age 12-17 in proportion who opposes ads? Solve manually and then by mega stat. Point to your decision rule, your hypotheses and statistical and management conclusions."
For a random sample of 35 items, a known population standard deviation of 23, and a sample mean of 211 estimate the: the population mean with a confidence level of 95%.
Suppose that 20 students have registered for course this semester. Determine the probability that two or fewer will withdraw? Determine the probability that exactly four will withdraw?
She wants to test H0: μ = 0.5 Ha: μ ≠ 0.5 Find the associated P-value. Is the result significant at the 5% level (α = 0.05)? At the 1% level (α = 0.01)?
Explain why random samples are preferred to nonrandom samples.
Historical data suggests a standard deviation in the first sample of 10 and a standard deviation in the second sample of 16. Find a 95% confidence interval for the population difference.
A arbitrary sample of 8 students is selected. Illucidate the probability that among the students in the sample at least 7 are female.
A sample of 45 students enrolled in the university indicates that X (bar) = $285.4 and s = $42.20. Using the 0.05 level of significance, is there evidence that the population mean is above $300?
Given that this sample is extremely large, can the responses be considered to be representative of the population of the United States? Explain.
We have been informed that the stock has gone up 20%. What is the probability of a rise or fall in the GDP?
College is 0.74. A random sample of 280 high school seniors is surveyed. Describe the distribution of the number of students in the sample of 289 that will not attend college.
Describe the sample distribution of p-hat, the sample proportion of college students with cell phones who send or receive text messages with their phones.
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