Explain the difference between statistical significance and practical significance. ... Choose the correct answer below. O A. Statistical significance means that the sample statistic is not likely to come from the population whose parameter is stated in the null hypothesis. Practical significance refers to whether the difference between the sample statistic and the parameter stated in the null hypothesis is large enough to be considered important in an application. O B. Statistical significance refers to how an unusual event is unlikely to actually appear in a real world application, such as every entry in a sample of size 50 having the same value. Practical significance refers to how an unusual event is likely to actually appear in a real world application, such as a rejection of a null hypothesis using data that looks feasible. O C. Statistical significance refers to the type of hypothesis test needed to analyze a population, with some tests being more important than Z tests. Practical significance refers to how difficult a desired hypothesis test is to perform in an application, with some tests being easier to perform than others. O D. Statistical significance means that the hypothesis test being performed is useful for building theoretical foundations for other statistical work. Practical significance means that the particular application of the hypothesis test is of great importance to the real world.

Consider the following hypothesis test. The null hypothesis is "The mean body temperature for humans is 98.6 degrees Farenheit." and the alternative hypothesis is "The mean body temperature for humans differs from 98.6 degrees Farenheit." Answer the following questions. a. "The mean body temperature for humans in fact differs from 98.6 degrees Farenheit and the result of the sampling lead to that conclusion" is aA. Type I errorB. correct decisionC. Type II error b. "The mean body temperature for humans in fact is 98.6 degrees Farenheit but the result of the sampling lead to the conclusion that the mean body temprature for humans differ from 98.6 degrees Farenheit" is aA. Type II errorB. Type I errorC. correct decision c. "The mean body temperature for humans in fact is 98.6 degrees Farenheit and the result of the sampling do not lead to the rejection of the fact that the mean body temprature is 98.6 degrees Farenheit" is aA. Type I errorB. correct decisionC. Type II error d. "The mean…

You wish to test the following claim (Ha) at a significance level of a = 0.01. H.: u = 78.5 H.:u < 78.5 You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data: data 64.5 63.5 72.4 68.2 58.3 65 What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a O greater than a

A statement of “no difference” that contradicts the research hypothesis and is always expressed in terms of population parameters is called the     a. null hypothesis.     b. right-tailed test.     c. t statistic.     d. specified value