Table of Contents
- 1 Why do we use statistical analysis in our hypothesis testing?
- 2 What type of data analysis is used in hypothesis testing?
- 3 How many main statistical methodologies are used in data analysis?
- 4 Does descriptive statistics use hypothesis testing?
- 5 When one is testing hypotheses on a proportion What are the necessary requirements?
- 6 What statistical test will be used for analysis?
Why do we use statistical analysis in our hypothesis testing?
Statistical tests are crucial when you want to use sample data to make conclusions about a population because these tests account for sample error. Using significance levels and p-values to determine when to reject the null hypothesis improves the probability that you will draw the correct conclusion.
What type of data analysis is used in hypothesis testing?
Statistical analysts test a hypothesis by measuring and examining a random sample of the population being analyzed. All analysts use a random population sample to test two different hypotheses: the null hypothesis and the alternative hypothesis.
What are the conditions for hypothesis testing?
The sample must be reasonably random • The sample size must be large enough so that all expected counts are at least 1 and no more than 20\% are less than 5. In particular, all expected cell counts in a 2×2 table should be 5 or more.
How many main statistical methodologies are used in data analysis?
Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation).
Does descriptive statistics use hypothesis testing?
Descriptive statistics summarize the characteristics of a data set. Inferential statistics allow you to test a hypothesis or assess whether your data is generalizable to the broader population. What’s the difference between a statistic and a parameter?
What step are involved in statistical testing of a hypothesis?
Specify the Null Hypothesis. Specify the Alternative Hypothesis. Set the Significance Level (a) Calculate the Test Statistic and Corresponding P-Value.
When one is testing hypotheses on a proportion What are the necessary requirements?
When testing a single population proportion use a normal test for a single population proportion if the data comes from a simple, random sample, fill the requirements for a binomial distribution, and the mean number of success and the mean number of failures satisfy the conditions: np > 5 and nq > n where n is the …
What statistical test will be used for analysis?
Choosing a nonparametric test
| Predictor variable | Use in place of… | |
|---|---|---|
| Chi square test of independence | Categorical | Pearson’s r |
| Sign test | Categorical | One-sample t-test |
| Kruskal–Wallis H | Categorical 3 or more groups | ANOVA |
| ANOSIM | Categorical 3 or more groups | MANOVA |