What is null hypothesis and alternative hypothesis with examples?
Null Hypothesis: On the average, the dosage sold under this brand is 50 mg (population mean dosage = 50 mg). Alternative Hypothesis: On the average, the dosage sold under this brand is not 50 mg (population mean dosage ≠ 50 mg). This is a two-sided alternative hypothesis.
How do you find the null and alternative hypothesis examples?
They are “reject H0” if the sample information favors the alternative hypothesis or “do not reject H0” or “decline to reject H0” if the sample information is insufficient to reject the null hypothesis….Null and Alternative Hypotheses.
| H0 | Ha |
|---|---|
| greater than or equal to (≥) | less than (<) |
| less than or equal to (≤) | more than (>) |
What is alternative hypothesis give an example?
The alternative hypothesis is the hypothesis that the researcher is trying to prove. In the Mentos and Diet Coke experiment, Arnold was trying to prove that the Diet Coke would explode if he put Mentos in the bottle. Therefore, he proved his alternative hypothesis was correct.
How do you define null hypothesis?
The null hypothesis is a typical statistical theory which suggests that no statistical relationship and significance exists in a set of given single observed variable, between two sets of observed data and measured phenomena.
What is the difference between null and alternative?
– The assumed value of the parameter is not correct. – There is a difference between the two populations being compared. – There is an effect from a particular treatment.
Why does research require a null hypothesis?
Question. What is a null hypothesis and why does research need one?
Are hypothesis derived from theory is almost always null?
hypotheses are never proved nor disproved in an ultimate sense-they are accepted or rejected, supported or not supported by the data. Hypothesis derived from theory are almost always: directional A research problem is a situation involving an enigmatic or disturbing situation amenable to disciplined inquiry.
What if the null hypothesis were true?
This probability is called the p value . If there is greater than a 5% chance of a result as extreme as the sample result when the null hypothesis is true, then the null hypothesis is retained. When the statement in the null hypothesis is true if we reject the null hypothesis we have made a Type II error?
