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The thickness of photo resist applied to wafers in semiconductor manufacturing at a particular location on the wafer is uniformly distributed between 0.2050 and 0.2150 micrometers.
a) Determine the cumulative distribution function of photo resist thickness.
b) Determine the proportion of wafers that exceeds 0.2125 micrometers in photo resist thickness.
c) What thickness is exceeded by 10% of the wafers?
d) Determine the mean and variance of photo resist thickness.
In looking at your business, when and why would you want to use a one-sample mean test (either z or t) or a two-sample t-test? Create a null and alternate hypothesis for one of these issues. How would you use the results?
The city council of Pine Bluffs is considering increasing the number of police in an effort to reduce crime. Before making a final decision,
For the following situation, assume the random variable is normally distributed and use a normal distribution or a t-distribution to construct a 90% confidence interval for the population mean. If convenient, use technology to construct the confid..
The following data are daily price quotations of two stocks: Stock A: 12.50, 12.75, 12.50, 13.00, 13.25, 13.00, 13.50, 14.25, 14.00. Is there a correlation between the two stocks? Explain.
1. use the normal distribution of sat critical reading scores for which the mean is 513 and the standard deviation is
Suppose we want to conduct a poll to estimate the proportion of voters who approve of the current mayor, and we plan to use a 95% confidence interval for our estimate.
H: μ = 50. A sample of 25 scores is selected and the mean is M = 55.Assuming that the sample variance is s2 = 100, compute the estimated standard error and the t statistic.
What is the null hypothesis? What is your decision if a = 0.01?
When the null hypothesis is rejected in the goodness-of-fit test, it means there is close agreement between the observed and expected frequencies.
If there is one-year warranty on the equipment, what proportion of the customers will actually make a valid warranty claim?
Conduct a statistical test to determine if the sample is representative of the population.
How large a sample should she check in order to be 93 percent confident that the true proportion is estimated to within 0.014?
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