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In research surveys, statistical significance is an important metric for determining the validity of hypotheses. Every day, a variety of people conduct a variety of tests and surveys, but not all of them are useful. What is the reason behind this? It’s because a survey must have statistical significance or a low likelihood that the hypothesis is false, in order to be regarded as valuable. In other words, a statistically significant survey will have a high likelihood of confirming a theory. Example
Small discrepancies in study findings can be minor if you have a big sample size and are certain that the differences are not due to chance. This formula aids in determining whether or not there is a link between the differences or variations. Statistical significance is used to determine how moderate, weak, or strong a relationship is based on the sample size. Formula The statistical significance formula is given as follows:
Sample ProblemsQuestion 1. Find the statistical significance given that sample mean, the population mean, standard deviation and sample size are 16, 13, 5, 31. Solution:
Question 2. Find the statistical significance given that sample mean, the population mean, standard deviation and sample size are 15, 12, 4, 30. Solution:
Question 3. Find the statistical significance given that sample mean, the population mean, standard deviation and sample size are 15, 11, 4, 30. Solution:
Question 4. Find the statistical significance given that sample mean, the population mean, standard deviation and sample size are 14, 11, 4, 30. Solution:
Question 5. Find the statistical significance given that sample mean, the population mean, standard deviation and sample size are 12, 11, 5, 30. Solution:
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Mathematics |
Type: | Geek |
Category: | Coding |
Sub Category: | Tutorial |
Uploaded by: | Admin |
Views: | 11 |