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1) Suppose that a standard deviation is known to be 3. How large a sample size is needed to have an error of 2 on a 99% confidence interval?
2) If n= 48 packages are randomly selected from packages received by parcel service. The sample has a mean weight of 18.6 lbs. Assume that s=3.4 lbs. What is the 95% confidence interval for the true mean weight of all packages received by the parcel service?
a) 17.8-19.4 lbsb) 17.6-19.6 lbsc) 17.3-19.9 lbsd) 17.5-19.7 lbs
3) A random sample of 150 visitors to a park spent an average of $142 with a standard deviation of $47.50. Determine the 98% confidence interval for the mean money spent by all visitors to the park.
4) A marketing survey reveals that 58 out of 750 randomly selected shoppers is an extreme couponer. Find a 95% confidence interval for the population proportion of extreme couponers.
5) A random sample of n= 40 farming regions was selected to receive an average price of $9.75 with a standard deviation of $1.85 per 100 lbs of watermelon. Find a 90% confidence interval for the population mean price per 100 lbs of watermelon.
suppose a population proportion is .40 and 80 of the time when you draw a random sample from this population you get a
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a comparison between the average jail time of bank robbers and car thieves yielded the following results in yearsn180
1 the cincinnati enquirer reported that in the united states 66 of adults and 87 of youths ages 12 to 17 use the
A confidence interval estimate for the population mean is given to be (41.16, 49.85). If the standard deviation is 16.290 and the sample size is 54, answer each of the following (show all work):
Perform a parametric analysis by assessing the fractional change in the probability of failure with respect to a small change in the mean and standard deviation of selected variable.
1. What is the rejection region for a two-tailed test when α = 0.05?
Suppose that you are conducting a survey of customer satisfaction regarding their cellular phone. If you called 11 households selected at random, what is the probability that:
Explain the differences between qualitative and judgmental statistical time-series, and explanatory/causal forecasting models.
the rayleigh probability density function is the special case of the weibull probability density function when u03b1
Determine x-bar and s for this data set. You may suppose the values for bulb life are normally distributed. Use traditional method to make your decision.
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