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A statistically significant result occurs when the value of the test statistic falls in the rejection region. A result has practical significance when it is statistically significant and the result also is different enough from results expected under the null hypothesis to be important to the consumer of the results. By taking large enough sample sizes, almost any result can be made statistically significant due to the increased ability of the test to detect a false null hypothesis, but small differences from the conditions expressed by the null hypothesis may not be important, that is, they may not have practical significance. This explains the difference between statistical significance and practical significance. Is this true? Explain your answer.
The sample mean of the accounts is found to be y-bar = $94.22, and the sample variance is equal to $455.21. Estimate mu and place a bound on the error of estimation.
An article in USA Today stated that "Internal surveys paid for by directory assistance providers show that even the most accurate companies give out wrong numbers 15% of the time."
Does the sample provide sufficient evidence that the mean pH level in the water differs from 8.5? Conduct a test at the ? = .01 level. What are the upper and lower limits of the 95% confidence intervals?
Determine the probability that between 5 and 10 minutes will pass between successive occurrences.
Suppose that population variances from both conditions are equal is there evidence that treatment decreases surface hardness of steel plates?
What is the difference between the probability value and the significance level? Please, also provide examples.
Find the 95% confidence interval for the true population mean. Identify the point estimate for mean and margin of error.
Using your workplace, present or prior, or an organization with which you are affiliated, identify a dependent variable and an independent variable of interest to you
Is there a significant difference in the proportions of patients reporting pain relief? Run the test at a 5% level of significance.
At α = 0.10, can the researcher conclude that alcohol consumption is related to sex? What kind of Chi-Square test is this?
Create a histogram for the following data of the number of miles from residence to place of employment for 30 randomly selected residents of Middletown County.
If standard deviation is 50 hours and α is equal to 0.01, what values for mean x will result in rejection of null hypothesis.
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