Call us toll-free

Support or Reject Null Hypothesis

Click the link the skip to the situation you need to support or reject null hypothesis for:

Approximate price

Pages:

275 Words

$19,50

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%.

Use these general guidelines to decide if you should reject or keep the null:

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

If the means are equal, null hypothesis is failed to be rejected and hence the term is not

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

If at least two means are different, null hypothesis is rejected and instead alternative

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?"

For the testing procedure, one begins with the assumption that the null hypothesis is true.
Order now
  • 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 ..

Order now

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 p-value
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 p-value
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 p-value
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 p-value
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 chicken-sex 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 chicken-sex 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 chicken-feet 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."

Order now
  • Kim

    "I have always been impressed by the quick turnaround and your thoroughness. Easily the most professional essay writing service on the web."

  • Paul

    "Your assistance and the first class service is much appreciated. My essay reads so well and without your help I'm sure I would have been marked down again on grammar and syntax."

  • Ellen

    "Thanks again for your excellent work with my assignments. No doubts you're true experts at what you do and very approachable."

  • Joyce

    "Very professional, cheap and friendly service. Thanks for writing two important essays for me, I wouldn't have written it myself because of the tight deadline."

  • Albert

    "Thanks for your cautious eye, attention to detail and overall superb service. Thanks to you, now I am confident that I can submit my term paper on time."

  • Mary

    "Thank you for the GREAT work you have done. Just wanted to tell that I'm very happy with my essay and will get back with more assignments soon."

Ready to tackle your homework?

Place an order