The probability of observing the experiment result, a sample mean, for example, or something more unusual just by chance if the null hypothesis is true is the definition of p value
hence option (c) is correct
Test statistic is a way to check the authenticity of null hypothesis that is considered. Test statistic is extremely important to accept and reject the null hypothesis.
The data from the experiment is fed into the equation and compares your result with the expected results of null hypothesis.
Test statistic is a number calculated from statistical test of a hypothesis.
It shows how closely our data matches with the distribution expected under null hypothesis of the distribution.
Confidence interval
Confidence interval is the range of plausible values of a random variable with a certain percentage of confidence level. Confidence level shows that how much certainty or uncertainty in test statistic considering the null hypothesis to be true. It is expressed in percentage. 98% , 95% and 90% Confidence intervals are a few examples.
p- value is the probability of a happening of a particular event is a random chance or some other event with similar probability or any rarer event considering null hypothesis to be true.
Alternate hypothesis
Alternate hypothesis is the opposite of Null hypothesis. Null hypothesis is the generally or by default accepted hypothesis which is tested by various statistical tests.
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https://brainly.com/question/4489586
