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The coffee/soup machine at the local bus station is supposed to fill cups with 6 ounces of soup. Ten cups of soup are brought with results of a mean of 5.93 ounces and a standard deviation of 0.13 ounces. How large a sample of soups would we need to be 95% confident that the sample mean is within 0.03 ounces of the population mean?
A clinical trial study is done to evaluate joint pain relief. Three different types of pain relief treatments are used. The mean time
you measure the lifetime of a random sample of 64 tires of a certain brand. the sample mean is x 50 months. suppose
question 1 a 2009 national poll of 1053 u.s. adults found that 548 favored the governments plan for a stimulus
A contractor is considering a sale that promises a profit of $34,000 with a probability of 0.7 or a loss (due to bad weather, strikes, and such) of $16,000 with a probability of 0.3. What is the expected profit?
What is the critical F value when the sample size for the numerator is four and the sample size for the denominator is seven?
If the standard deviation of a set of scores =0, what can you say about the scores in the distribution? Verify your answer using an example. Create an appropriate set of numbers and actually calculate the SD (standard deviation), showing that it ..
On average, C&C wash-down motors operate for 15,000 hours with a standard deviation of 1,250 hours before failing. The number of operating hours before failure is approximately normally distributed.
Chips Ahoy. In 1998, as an advertising campaign, the Nabisco Company announced a 1000 Chips Challenge, claiming that every 18-ounce bag of their Chips Ahoy.
Use Tukey's procedure to place a set of simultaneous 95% confidence intervals on the differences between all pairwise kickback averages
Estimate the mean by examining the histogram.- Do you expect the mean to be smaller than, approximately equal to, or larger than the median? Why?
country number of numbers drawn range of numbersunited kingdom 6 1 to 49finland 7 1 to 39florida 5 1 to 36assuming one
How many Standard Errors is $850 below $900? If we want to test the null hypothesis that the hotline does not reduce costs, what would be the conclusion based on this data?
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