Support or Reject Null Hypothesis
Click the link the skip to the situation you need to support or reject null hypothesis for:
Draw the conclusion: Reject or fail to reject the null hypothesis,
After you do a statistical test, you are either going to reject or accept the null hypothesis. Rejecting the null hypothesis means that you conclude that the null hypothesis is not true; in our chicken sex example, you would conclude that the true proportion of male chicks, if you gave chocolate to an infinite number of chicken mothers, would be less than 50%.
Compare your answer from step 5 with the α value given in the question. Support or reject the null hypothesis? If step 5 is less than α, reject the null hypothesis, otherwise do not reject it. In this case, .582 (5.82%) is not less than our α, so we do not reject the null hypothesis.
“Not rejecting the null hypothesis” is equivalent to
Sometimes, you’ll be given a proportion of the population or a percentage and asked to support or reject null hypothesis. In this case you can’t compute a test value by calculating a (you need actual numbers for that), so we use a slightly different technique.
Sample question: A researcher claims that Democrats will win the next election. 4300 voters were polled; 2200 said they would vote Democrat. Decide if you should support or reject null hypothesis. Is there enough evidence at α=0.05 to support this claim?
Suppose we arbitrarily choose to accept the null hypothesis if
Now instead of testing 1000 plant extracts, imagine that you are testing just one. If you are testing it to see if it kills beetle larvae, you know (based on everything you know about plant and beetle biology) there's a pretty good chance it will work, so you can be pretty sure that a P value less than 0.05 is a true positive. But if you are testing that one plant extract to see if it grows hair, which you know is very unlikely (based on everything you know about plants and hair), a P value less than 0.05 is almost certainly a false positive. In other words, if you expect that the null hypothesis is probably true, a statistically significant result is probably a false positive. This is sad; the most exciting, amazing, unexpected results in your experiments are probably just your data trying to make you jump to ridiculous conclusions. You should require a much lower P value to reject a null hypothesis that you think is probably true.
the opposite of the research hypothesis. The null hypothesis states that any effects observed after treatment (or associated with a predictor variable) are due to chance alone. Statistically, the question that is being answered is "If these samples came from the same population with regard to the outcome, how likely is the obtained result?"
Support or Reject Null Hypothesis in Easy Steps

17.01.2018 · Can We Accept the Null Hypothesis
Note that the failure to reject the null hypothesis does not necessarily mean

Why you can’t accept the null hypothesis  Advait
This basically means that there is not enough evidence to reject the null hypothesis

14.04.2014 · Why you can’t accept the null hypothesis
Usually the two possible outcomes are "Reject the null hypothesis ..
Accept or reject null hypothesis??  Yahoo Answers
3. Using the data from sample 3, perform a hypothesis test on the sample data using a significance level of 0.01. Answer the following questions below:
a. What is the sample mean and sample standard deviation?
b. What is the pvalue
c. Do you accept the null hypothesis or reject the null hypothesis?
d. Should any action be taken?
Why we don't accept the Null Hypothesis Video  Duration: 4:00.
2. Using the data from sample 2, perform a hypothesis test on the sample data using a significance level of 0.01. Answer the following questions below:
a. What is the sample mean and sample standard deviation?
b. What is the pvalue
c. Do you accept the null hypothesis or reject the null hypothesis?
d. Should any action be taken?
Rejecting the Null Hypothesis  YouTube
4. Using the data from sample 1, perform a hypothesis test on the sample data using a significance level of 0.01. Answer the following questions below:
a. What is the sample mean and sample standard deviation?
b. What is the pvalue
c. Do you accept the null hypothesis or reject the null hypothesis?
d. Should any action be taken?
02.10.2013 · Rejecting the Null Hypothesis ..
1. Using the data from sample 1, perform a hypothesis test on the sample data using a significance level of 0.01. Answer the following questions below:
a. What is the sample mean and sample standard deviation?
b. What is the pvalue
c. Do you accept the null hypothesis or reject the null hypothesis?
d. Should any action be taken?
Reject or Fail to Reject the Null Hypothesis: I’m still confused
Generally, when comparing or contrasting groups (samples), the null hypothesis is that the difference between means (averages) = 0. For categorical data shown on a contingency table, the null hypothesis is that any differences between the observed frequencies (counts in categories) and expected frequencies are due to chance.
Why the Null Hypothesis is Not Accepted (1 of 5)
A related criticism is that a significant rejection of a null hypothesis might not be biologically meaningful, if the difference is too small to matter. For example, in the chickensex experiment, having a treatment that produced 49.9% male chicks might be significantly different from 50%, but it wouldn't be enough to make farmers want to buy your treatment. These critics say you should estimate the effect size and put a on it, not estimate a P value. So the goal of your chickensex experiment should not be to say "Chocolate gives a proportion of males that is significantly less than 50% (P=0.015)" but to say "Chocolate produced 36.1% males with a 95% confidence interval of 25.9 to 47.4%." For the chickenfeet experiment, you would say something like "The difference between males and females in mean foot size is 2.45 mm, with a confidence interval on the difference of ±1.98 mm."