Asked by Karish Singh on Sep 30, 2024
A sample is used to obtain a 95% confidence interval for the mean of a population.The confidence interval goes from 78.21 to 87.64.If the same sample had been used to test the null hypothesis that the mean of the population differs from 90,the null hypothesis could be rejected at a level of significance of 0.05.
Confidence Interval
A range of values, derived from sample statistics, that is believed to contain the value of an unknown population parameter with a certain level of confidence.
Level Of Significance
The threshold used in statistical tests to determine if a result is statistically significant, indicating the probability of the result occurring by chance.
Null Hypothesis
A statistical hypothesis that assumes no significant difference or effect exists between certain aspects of a population or parameters.
- Acquire knowledge about the connection between confidence intervals and hypothesis testing.
- Master the evaluation of when a null hypothesis should be rejected or not, guided by the p-value and significance level.
Learning Objectives
- Acquire knowledge about the connection between confidence intervals and hypothesis testing.
- Master the evaluation of when a null hypothesis should be rejected or not, guided by the p-value and significance level.