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A large electronics company wants to estimate the proportion of all households that own GPS machines. What sample size is required that would give the maximum error of 2.0% for a 95% confidence interval? An unscientific survey had a result of 30%.
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?
What is the probability that a cereal would be high calorie, given that it is high fiber? In other words, what is P (high calorie, given high fiber)?
Is there evidence of violations of the usual ANOVA assumptions of equal variances and normal populations? Set up and perform appropriate TESTS at the α = 0.05 level of significance.
A pair of dice is tossed once. Let X denote the sum of the face values, and let Y denote the absolute value of the difference between the face values.
What type of probability distribution will most likely be used to analyze the number of chocolate chip parts per cookie in the following problem?
Another day, it took Eric only 12 minutes to get to work. Using the same formula, determine the z value. Is it positive or negative? Explain why it should be positive or negative.
Create a hypothesis and perform a series of tests to determine if there is any fundamental difference in the findings.
The number of false alarms a building fire alarm system registers has a Poisson distribution with a mean of 6 false alarms per year. The variance of the number of false alarms is what?
Internal study by Technology Services department at Lahey Electronics disclosed company employees get the average of 2 emails per hour. Suppose arrival of these emails is approximated by Poisson distribution.
What is a discrete random variable and how does it differ from a continuous random variable? Give examples.
A doctor believes that the standard deviation of systolic blood pressure is 450. A random sample of 24 patients found a standard deviation of 520. Assume the variable is normally distributed and a = 0.01. What are the critical values?
If we were to repeat an experiment a large number of times and calculate a statistic such as the mean for each experiment, the distribution of these experiments would be called?
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