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What is Hypothesis Testing
Hypothesis testing is also known as statistical testing. Hypothesis testing is a technique for collecting evidence from sample data to prove that a specific condition is true for the entire population. There are two types of hypothesis testing null and alternative hypothesis. The null hypothesis explains what the hypothesis is that has to be tested. The null hypothesis makes no difference and has no effect. The alternative hypothesis is a statement that you have to summarize as true. This test helps us to find out whether or not the test denies the null hypothesis based on the sample data. This is done with the use of the p-value in order to determine the outcome. If p is less than its significant value, i.e. the cutoff point you've set, the null hypothesis will be rejected. This test is performed to check and learn about the statistical preciseness of a specific experiment. If you have obtained the result that is positive and accurate, then it is known as statistically significant.
Hypothesis are divided into two parts :
Null Hypothesis : Null hypothesis denoted by H0. This is simply predicated on the assumption that the sample observations are entirely random.
Alternative hypothesis : It is denoted by H1 or Ha. This assumes that the sample data is influenced by a non-random reason.
To determine the population parameter, professional statisticians frequently use hypothesis testing. Various approaches will be used by the analysts to accept or reject the statistical hypothesis. This shows the outcome of a hypothesis test conducted on sample data taken from a large population. The methodologies used by statisticians and analysts will vary depending on the type of data and the objective of the study. A statistical hypothesis is nothing more than a guess about a population parameter. Examining the complete population is an effective technique to determine whether or not the statistical hypothesis is valid.
The types of hypotheses are as follows:
Null Hypothesis.
Alternative Hypothesis.
Simple Hypothesis.
Complex Hypothesis.
Working or Research Hypothesis.
Logical Hypothesis.
Statistical Hypothesis.
Some Hypothesis Topic
T-Test
Z Test
Chi-Square Tests
Decision making and the P-Value
Type I and Type II error
Null hypothesis
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