Which one among the following statement is true in the context of the testing of hypothesis?​
Answers
Answer:
It is only alternative hypothesis that can be tested.
Answer :
Hypothesis testing involves comparing a calculated test statistic to a critical value. If the test statistic is greater than the critical value, the null hypothesis is rejected, and the alternative hypothesis is accepted.
Explanation :
The correct statement in the context of testing a hypothesis is:
"The null hypothesis is rejected if the calculated test statistic is greater than the critical value, and the alternative hypothesis is accepted."
In hypothesis testing, the null hypothesis is the statement that there is no significant difference between the observed sample data and the hypothesized population parameter. The alternative hypothesis is the statement that there is a significant difference between the sample data and the hypothesized parameter.
To test the null hypothesis, a test statistic is calculated and compared to a critical value. If the test statistic is greater than the critical value, then the null hypothesis is rejected, and the alternative hypothesis is accepted. This means that there is evidence to suggest that there is a significant difference between the observed data and the hypothesized parameter.
In conclusion, hypothesis testing is an important statistical tool used to make inferences about population parameters based on sample data, and it is essential to understand the correct interpretation of the null and alternative hypotheses and the test statistics used to make conclusions.
To know more about the concept please go through the links :
https://brainly.in/question/25612619
https://brainly.in/question/23013522
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