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Can you have evidence for the null hypothesis?
To conclude Absence of evidence is not the same as evidence of absence; p-values and confidence intervals may provide some evidence against a null hypothesis, but cannot provide evidence in favour of a null hypothesis.
What does evidence against the null hypothesis mean?
The smaller the p-value, the stronger the evidence against the null hypothesis. The null hypothesis is either true, or it is not true. Hence, the probability that it is true equals either zero or one. The p-value is not interpreted as a probability that the null hypothesis is true.
Which of the following options hold true for null hypothesis?
More than one option may be correct. Explanation: The null hypothesis is always written with the “equal to” or “less than or equal to” or “more than or equal to” sign.
Do you have to examine evidence to reject the null hypothesis?
Since the null and alternative hypotheses are contradictory, you must examine evidence to decide if you have enough evidence to reject the null hypothesis or not. The evidence is in the form of sample data.
What is the symbol for the null hypothesis?
The symbol for the null hypothesis is ‘H0’. Keep in mind that, the only reason we are testing the null hypothesis is because we think it is wrong. We state what we think is wrong about the null hypothesis in an Alternative Hypothesis.
What does a low p mean in null hypothesis testing?
A low p value means that the sample result would be unlikely if the null hypothesis were true and leads to the rejection of the null hypothesis. A high p value means that the sample result would be likely if the null hypothesis were true and leads to the retention of the null hypothesis.
Why are we testing the null hypothesis in ABC school?
Keep in mind that, the only reason we are testing the null hypothesis is because we think it is wrong. We state what we think is wrong about the null hypothesis in an Alternative Hypothesis. For the ABC School example, alternate hypothesis is, there is a significant difference in behavior of sample and population.