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Sample size and margin of error. The margin of error for a confidence interval depends on the confidence level, the standard deviation, and the sample size. Fix the confidence level at 95% and the standard deviation at 1 to examine the effect of the sample size.
Find the margin of error for sample sizes of 5 to 100 by increments of 5-that is, let n = 5, 10, 15,..., 100. Plot the margins of error versus the sample sizes and summarize the relationship.
Solve the double inequality -tα/2,n-2 α/2,n-2 with t given by the formula of Exercise 25 so that the middle term is y0 and the two limits can be calculated without knowledge of y0. Note that although the resulting double inequality may be interprete..
Ninety of these flashlights are selected at random from the production line to be tested, and 15 are found to be defective. The population is?
A quality control inspector selects a part to be tested. The part is then declared acceptable, repairable, or scrapped. Then another part is tested. List the possible outcomes of this experiment regarding two parts.
He measured the Height in inches by counting equally spaced marks on the cylinder, and measured the Pressure in inches of mercury (as in a barometer). Some of his data are listed in the table. Create an appropriate model.
Does this system provide better or poorer service compared to the original system? Discuss any differences and the reason for these differences.
Using a 5% level of significance, can we say that, generally there is important difference between satisfaction levels of mid country residents and coastal residents?
A stationary random process, X(t), has a mean of μX and correlation function, - - Find the correlation function.
Translate the following arguments into symbolic notation.- If Michelangelo painted the ceiling of the Sistine Chapel, then he was familiar with stories from the Old Testament.
Explain the different types of measurement scales and give examples in the following situations:- Gallons of water to put out a fire by the fire department
His estimated regression equation was Crime = 428 + .050 Income. Which outcomes would be likely in a bivariate regression on 45 randomly chosen U.S. cities in 2005 with
A study is conducted to estimate survival in patients following kidney transplant. Key factors that adversely affect success of the transplant include advanced age and diabetes. Use the life table approach to estimate the survival function
Let the null hypothesis be the landlord association claim and the alternative hypothesis be the housing authority claim. Doe the data support the landlord's association claim? What would you report to the housing authority?
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