For example is this considered to be appropriate selected statistical test "(50)equal -0.45,p positive .50?

Question

For example is this considered to be appropriate selected statistical test "(50)equal -0.45,p positive .50?

Answer 1

To determine whether a selected statistical test is appropriate, we need more information about the specific research question and the data being analyzed. The values you provided, such as "(50)equal -0.45, p positive 0.50," do not provide enough context to determine the appropriate statistical test.

However, I can explain the general process of selecting a statistical test based on the type of data and research question. Here are some common scenarios:

1. Comparing two groups: If you want to compare the means or proportions of two groups, you can use tests like independent t-test, paired t-test, chi-square test, or Fisher's exact test.
2. Comparing more than two groups: When comparing means or proportions across more than two groups, you can consider analysis of variance (ANOVA), Kruskal-Wallis test, or chi-square test.
3. Assessing associations or relationships: If you want to examine the relationship between two variables, you can use correlation analysis (e.g., Pearson correlation) or regression analysis (e.g., linear regression).
4. Testing for differences between multiple variables: For examining relationships between three or more variables simultaneously, you may consider multivariate analysis techniques (e.g., multiple regression, logistic regression, or factor analysis).
5. Other scenarios: There are various other statistical tests available for different scenarios, such as survival analysis for time-to-event data or ANCOVA for analyzing covariance.

To determine the appropriate statistical test, you need to consider factors such as the research question, the type of data (e.g., continuous, categorical, or ordinal), the distribution of the data, and the specific hypothesis you are testing.

It is recommended to consult with a statistician or refer to statistics textbooks or online resources that provide guidelines for selecting appropriate statistical tests based on the specific research question and data characteristics.