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In a recent year, about two-thirds of U.S. households purchased ground coffee. Consider the annual ground coffee expenditures for households purchasing ground coffee, assuming that these expenditures are approximately normally distributed as a normal random variable with a mean of $45.16 and a standard deviation of $10.00.
1. Find the probability that a household spent less than $25.00.
2. Find the probability that a household spent more than $50.00.
3. What proportion of the households spent between $30.00 and $40.00?
4. 99% of households spent less than what amount?
Compute the number of French fries that would have to be sampled and measured to be 98% sure of being within 0.4 cm of the true mean.
What is the expected number of crimes that will be solved? What is the standard deviation?
The Appliance Center sells a variety of electronics equipments and home appliances. For last four years the following quarterly sales (in $ millions) were recorded.
A biased coin with probability of head being .6 is tossed 12 times. What is the probability that number of head would more than 4 but less than or equal to 10.
Suppose it is desired to estimate the population mean number of miles with a margin of error of ± 2 miles at 95% confidence. Do the data provide this desired level of precision? What action, if any, would you recommend be taken?
Utilizing your charts stated whether the filling operation has been in control for every of the 18 operating hours this day.
The hypothesis that the samples came from identical populations cannot be rejected, the T value is 16.5 greater that the lower limit.
Determine a 95% confidence interval for mean amount spent by all Internet shoppers.
To obtain the probability that the mean wage of 75 randomly selected workers will exceed $43,000
For the sample of men, performance on the simulator task declined by an average of 2.9 points with s = 4.1. Is this a statistically significant change? Use a two-tailed test with = .05.
Sample data are reported for 50 employees of small companies, 75 employees of medium companies, and 100 employees of large companies.
List 1 profession example for each probability type: empirical probability and theoretical (classical) probability. Explain clearly how these probabilities are used.
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