This section is too long.
The opposite of the null hypothesis is known as the alternative hypothesis. For example, assume the average time to cook a specific brand of pasta is 12 minutes. Therefore, the null hypothesis would be stated as, "The population mean is equal to 12 minutes.
For example, assume the hypothesis test is set up so that the alternative hypothesis states that the population parameter is not equal to the claimed value.
If the null hypothesis is accepted or the statistical test indicates that the population mean is 12 minutes, then the alternative hypothesis is rejected. Hypothesis Testing for Investments For example, Alice sees that her investment strategy produces higher average returns than simply buying and holding a stock.
The null hypothesis claims that there is no difference between the two average returns, and Alice has to believe this until she proves otherwise.
Refuting the null hypothesis would require showing statistical significance, which can be found using a variety of tests. Therefore, the alternative hypothesis would state that the investment strategy has a higher average return than a traditional buy-and-hold strategy.
The p-value is used to determine the statistical significance of the results. A p-value that is less than or equal to 0. If Alice conducts one of these tests, such as a test using the normal model, and proves that the difference between her returns and the buy-and-hold returns is significant, or the p-value is less than or equal to 0.A null hypothesis is a statement about a population that we compare to our sample data.
It is our starting point for statistical significance testing. Null hypothesis definition is - a statistical hypothesis to be tested and accepted or rejected in favor of an alternative; specifically: the hypothesis that an observed difference (as between the means of two samples) is due to chance alone and not due to a systematic cause.
In inferential statistics, the null hypothesis is a general statement or default position that there is no relationship between two measured phenomena, or no association among groups. Testing (accepting, approving, rejecting, or disproving).
The null hypothesis is what we attempt to find evidence against in our hypothesis test. We hope to obtain a small enough p-value that it is lower than our level of significance alpha and we are justified in rejecting the null hypothesis.
In inferential statistics, the null hypothesis is a general statement or default position that there is no relationship between two measured phenomena, or no association among groups.
Definition. In statistics, a null hypothesis is a statement that one seeks to nullify with evidence to the contrary. Most commonly it is a statement that the phenomenon being studied produces no effect or makes no difference.
An example of a null hypothesis is the statement "This diet has no effect on people's weight.".