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Assume you have the following data: Ho: u = 2,450, S = 400, n = 100, and X = 2,300. Conduct a hypothesis test at the .01 significance level.
**If the data above had been generated with a sample of 25 (n = 25), what statistical test would be appropriate?
Calculate the arithmetic mean age of the uninsured senior citizens to the nearest hundredth of a year. Identify the median age of the uninsured senior citizens
Sample of 81 houses was studied and found to have the mean of 1858 KWH. Determine the 95% confidence interval for true mean.
Carry out t test and find out whether or not demand and unit price are related. Let a=.05. Carry out an F test and find out whether or not demand and unit price are related.
How many independent network servers would be needed if each has 99 percent reliability? (b) If each has 90 percent reliability?
What is the probability that she never misses in 10 shots? there are exactly 8 bulls eyes in 10 shots? there are no more that 8 bulls eyes in 10 shots? she gets atleast one bulls eye?
For the sample of 32 lg us cities the correlation between the mean # of sq ft per office worker and the mean monthly rental rate in the central business district is the -.363 at the .05 significance level
Use the given date to find the minimum sample size required to estimate a population proportion and populat mean. Margin of error: 0.004, confidence level, 90%, sample proportion (p) : = 0.45
Construct and interpret a 90% confidence interval to estimate the mean fuel savings in the population of all such vehicles.
The batteries used in a digital watch have an operating life that is normally distributed. As sample of 18 batteries reveals a mean of 2.35 years and a standard deviation of 0.4 years.
Set up hypotheses and carry out all relevant tests. Describe all results and implications which you have discovered.
Expalin what would be the appropriate statistical procedure to test the following hypothesis: Triglyceride values are a good predictor of weight in obese adults.
Black Hole Pizza Parlor instructs its cooks to put a "handful" of cheese on each large pizza. A random sample of six such handfuls were weighed.
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