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A normal population has a mean of 75 and a standard deviation of 5. You select a sample of 40. Compute the probability that the sample mean is Between 74 and 76.
Probability using normal distribution.Sampling distributions. Given a normal distribution with μ = 50 and standard deviation σ = 9, if a sample of n = 100 is selected.
Construct ogive cure and numerical measures for the discrete data.
To estimate the mean of the population from sample information, we need to calculate the standard deviation of the distribution of the sample means around the population mean.
Looking at the data, the manufacturer is incorrect in its label claim. Perform hypothesis testing to prove or disprove it. Is the manufacturer correct in its label claim? Explain.
If sample mean is M=44. Is this sufficient to demonstrate significant effect? Again assume a Two-tailed test with a=0.05.
Suppose that 46 percent of families living in a certain country own a car and 18 percent own an SUV. The Addition Rule might suggest, then, that 64 percent of families own either a car or an SUV. What's wrong with that reasoning.
The average monthly gasoline purchase for a family with 2 cars is 90 gallons. This statistic has a normal distribution with a standard deviation of 10 gallons. A family is chosen at random.
A supervisor has noticed that sales for all departments world wide has been averaging $12,000 a month for a number of years. For the last 18 review periods the average sales figure has dropped to $11,500 with a standard deviation of $4,000. Manage..
Critically discuss the purpose of developing a frequency distribution? What is the relationship between the relative frequency and the cumulative frequency? Could a frequency distribution contain qualitative data? Why?
Where does the p-value come from for the spatial scan statistic used in SaTScan? Explain how Monte Carlo simulation is used to derive a p-value for a cluster.
Make use of normal probability distribution features of EXCEL to help determine the probability.
For population with mean of µ=60 and a standard deviation of s=24. Determine the z score corresponding to each of following samples.
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