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Suppose that the mean expenditure per customer at a tire store is 85.00, with a standard deviation of 9.00. If a random sample of 40 customers is taken, what is the probability that the sample average expenditure per customer for this sample will be 87.00 or more?
The population of incomes in a particular community is thought to be highly right-skewed with a mean equal to $36,789 and a standard deviation equal to $2,490.
To conduct a follow-up study that would provide 95% confidence that the point estimate is correct to within plus-or-minus 0.04 of the population proportion, how large a sample size is required?
The athletic director claims that the atendance is the same as last year. What is the test value needed to evaluate the claim?
One of 4 bus drivers is also arbitarily selected. Let Y denote number of students on his bus. Caculate expectations of X and Y: E(X)=?
A survey taken in a restaurant shows the following number of cups of coffee consumed with each meal. Construct an ungrouped frequency distribution.
How would you use the "margin of error" in estimating the percentage of all adults who think that Venetian blinds are the hardest to clean?
Plot the market-share data. (b) Describe the trend (if any) and discuss possible causes. (c) Fit three trends (linear, exponential, quadratic).
A pollster calls 500 randomly selected people and all 500 respond to her first question. Because the subjects agreed to respond, is the sample a voluntary response sample?
Random sample of 64 services is selected. Assume the population consists of 400 services. Find out the standard error of mean.
The random variable X is the distribution of siblings of a student selected at random from a particular secondary school. Its probability distribution is given in the table.
Derive the standard error of proportion, the margin error and the 95% confidence interval for the proportion indicating preference to flirting.
The diameter of stabilizing O-Rings washers manaufactured at a large factory is expected to be normally distributed with a mean of 1.30 inches and a standard deviation of 0.04 inches.
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