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Suppose that only 40% of all drivers in California regularly wear a seatbelt. A random sample of 500 drivers is selected. Assuming a binomial distribution, what is the probability that:
a. Between 180 and 230 (inclusive) of the drivers in the sample regularly wear a seatbelt? Hint: Use the BINOMDIST function in Excel.
b. Fewer than 175 of those in the sample regularly wear a seatbelt?
Calculate expected value for each decision and choose the best one. Find out how much firm would be eager to pay to a market research firm to gain better information about future market conditions.
To find out whether the course is effective in increasing sales, the appropriate set of hypothesis for testing is:
Make a point estimate of the population mean difference in endurance after taking the herbs. Make a 95% confidence interval estimate of the population mean difference.
If a six appears for the second time, the process is repeated with the move depending on the number shown and the previous throws. If a six appears for the third time, the turn of the player ends without moving the token.
Hypothesis test for the difference between two means - Assume the population standard deviations are not the same. At the 0.05 significance level, is there a difference in the mean waiting time?
Anthony is measuring his participants' emotional states in two different ways (self-report and galvanic skin response) in order to gain a greater confidence that he is actually measuring the emotional that he thinks he is.
A survey found that 85% of women in a given city enjoy shopping online. Suppose you randomly selected 6 women from the city and ask them whether or not they enjoy shopping online. Find the probability that exactly 4 say they enjoy shopping online.
Calculate the sample mean and sample standard deviation.
Suppose that a researcher does a study to see how level of anxiety (A 1 = low, A 2 = medium, A 3 = high) is used to predict exam performance (Y).
Fit a linear regression model for bp against sodium. Do you think this is a model with a good fit? Why?
Using alpha = 0.05 and a computed value of +4.49, can we conclude that the percentage of claims for married policyholders is less then for single policyholders?
Recent studies indicate that the typical 50-year-old woman spends $350 per year for personal-care products. The distribution of the amounts spent is positively skewed.
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