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In the field of quality control, the science of statistics is often used to determine if a process is "out of control." Suppose the process is, indeed, out of control and 20% of items produced are defective.
(a) If three items arrive off the process line in succession, what is the probability that all three are defective?
(b) If four items arrive in succession, what is the probability that three are defective?
Give an example of a situation in which you believe a Type I Error is more serious. Give an example of a situation in which you believe a Type II Error is more serious. In each case, why do you think so?
That's a much larger sample than standard sample surveys. In spite of this, we can't trust the result to give good information about any clearly defined population. Why?
assume that the life of a roller bearing follows a weibull distribution with parameters szlig 2 and d 10000 hours.a
Suppose that 20% of all Internet users have posted photos online. A sample survey interviews 1555 users. What is the probability that 300 or fewer people in the sample have posted photos online?
Do you think that these types of statistics can ever be accurate? How could this statistic be biased? In what ways could scientists misinterpret the results of their studies and come up with an incorrect statistic? What are your thoughts?
Using an appropriate statistical test determine if there is a significant association between gender and satisfaction with the new initiative.
Can researcher conclude that humidity has significant effect on eating behaviour? Use two-tailed test with a = 0.05.
Compute a 95% confidence interval for the mean saline of the tears. You select a random sample of 100 tear drops. The sample has an average salt concentration of 0.1 with a standard deviation of 0.01.
The owner of a local golf course wanted to determine the average age of the golfers that played on the course. In a random sample of 30 golfers that visited his course, the sample mean was 48.34 and the standard deviation was 9.327. Calculate a 90..
Using thesedata, perform a simple regression analysis to predict the price of a digital camera using the number of effective megapixels. Interpret the slope term and state whether it is consistent with the buyer's prior belief.
List the simple events in the sample for this experiment. Assuming that each pair of city council members has an equal chance of being selected, assign probabilities to each simple event.
The mean television viewing time for teens is 3 hours per day. Assume the population mean is 3 and the population standard deviation is known to be 1.2 hours.
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