What is the difference between practical significance and statistical significance? Give an example of something that might be statistically significant.. but not practically significant.

What are some issues to consider if you are planning to use statistical analysis in your research? Select all that apply.   Question 7 options:   Collecting some statistics may require training on particular software or may even require expertise.   You might need to acquire the data from another department in your agency or school, such as IT, and that can be time consuming.   Software and expertise can be costly.   How strong are your math skills?

Define the following terms in your own words with the help of suitable examples. Descriptive and Inferential Statistics Level of significance Point and Interval Estimation Estimation and Testing of Hypothesis One tail and Two Tail hypothesis tests Sample and Population

7. In the field of statistics, give an example of: a. A discrete variable. b. A continuous variable. c. A qualitative variable.

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…

Null? test statistics? p value?   conclusion for hypothesis

1 a) Hair color is an True False example of a qualitative data.

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Deal with it.I need the correct answer

What is the base rate(or prevalence in medical literature) and sensitivity(the percentage of individuals with a disease who are correctly classified as having the disease?)