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When only concerned about the results at one end of the distribution curve we use a one-tail test. We generally see a similar type of analysis performed in quality control operations, particularly in manufacturing. Can you think of any other examples?
Use RNG in Excel to generate n = 5 observations from the Normal distribution N(20, 5). Test H0: μ = 20 versus H0: μ ≠ 20 at the α = 0.05 level of significance. Repeat this process 100 times and then count the number of times that you reject H0.
Is there enough evidence to reject the claim that the average cost of a home in both locations is the same? Use α = 0.01. Clearly mark each of the five steps in hypothesis testing.
Find the minimum sample size required to estimate the percentage of college students who use loans to pay for college.
One should never use a regression line to predict the dependent response variable when the independent value is outside of the data range of the original data set that was used to fit the line.
compute the mean median mode and standard deviation for the following discrete probability distribution.value of
Average salary of $27,839 with a standard deviation of $7,400. At the 0.01 significance level, do teachers with Master Degrees have higher salaries?
If probability the first truck is available is= .75, probability the second truck is available is= .50, and probability both are available is= .30, determine the probability which neither truck is available?
What are examples of variables that follow a binomial probability distribution? What are examples of variables that follow a Poisson distribution? When might you use a geometric probability?
30% of households say they would feel secure if they had $50,000 in savings. you randomly select 8 households and ask them if they would feel secure if they had $50,000 in savings. find the probability that the number that say they would feel secu..
Find the viarance for the given data. Round your answer to one or more decimal place than the original data. 5.1,4.7,8.8,3.5,5.6.
A sample of 16 batteries reveals a mean of 3.45 years and a standard deviation of 0.3 years. Find a 95% confidence interval for the population mean.
For these data, a 99% confidence interval for true mean weight loss by all patients attending the clinic would have the limits (?, ?).
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