when the results are statistically significant, this means ____. course hero

When is a result called “statistically significant”?

For results to be statistically significant , it probably means they did not happen by chance . When might a researcher choose to take a sample rather than measuring the entire population? When the population is too large for every member to be measured.

What are the two possible outcomes of a hypothesis test?

The distribution of sample means refers to _____. (Points : 1) an array of sample means an analysis of the means of samples XX a population based on sample means a group of sample means arranged by sample size The distribution upon which the z-test is based has a mean of 1.0.

What does a p-value of 0 mean in statistics?

Jul 27, 2013 · Statistically significant is the probability that a relationship between the variables is not caused by random chance. A hypothesis testing is used to check whether a data set is statistically significant or not. The results are said to be statistically significant when p-value is less than the significance and the null hypothesis gets rejected.

Are type 1 error and significance level equal?

Apr 16, 2021 · A result is called "statistically significant" whenever A. The null hypothesis is true. B. The alternative hypothesis is true. C. The p-value is less or equal to the significance level. D. The p-value is larger than the significance level. Correct answer: (C) For More Visit :

When the results are statistically significant this means?

Statistically significant means a result is unlikely due to chance. The p-value is the probability of obtaining the difference we saw from a sample (or a larger one) if there really isn't a difference for all users.Oct 21, 2014

What does it mean that a t test is statistically significant?

If the computed t-score equals or exceeds the value of t indicated in the table, then the researcher can conclude that there is a statistically significant probability that the relationship between the two variables exists and is not due to chance, and reject the null hypothesis.

What does it mean if a result is statistically significant quizlet?

Statistical significance means that the result observed in a sample is unusual when the null hypothesis is assumed to be true. When testing a hypothesis using the​ P-value Approach, if the​ P-value is​ large, reject the null hypothesis.

What does it mean that the results are not statistically significant for this study?

This means that the results are considered to be „statistically non-significant‟ if the analysis shows that differences as large as (or larger than) the observed difference would be expected to occur by chance more than one out of twenty times (p > 0.05).

When a result is not statistically significant the correct decision is to?

decide that if a result is not significant, the null hypothesis is shown to be true. support the research hypothesis.

What happens when a p-value is less than or equal to the significance level?

When your p-valueis less than or equal to your significance level, you reject the null hypothesis. The data favors the alternative hypothesis. Congratulations! Your results are statistically significant.

What does it mean when a hypothesis test fails?

The hypothesis test assesses the evidence in your sample. If your test fails to detect an effect, it’s not proof that the effect doesn’t exist. It just means your sample contained an insufficient amount of evidence to conclude that it exists.

What does null hypothesis mean?

Typically, the null states there is no effect/no relationship. That’s true for 99% of hypothesis tests. However, there are some equivalence tests where you are trying to prove that the groups are equal. In that case, the null hypothesis states that groups are not equal.

What does null mean in statistics?

Your Null assume the person is not guilty, and your alternative assumes the person is guilty, only when you have enough evidence (finding statistical significance P0.05 you have failed to reject null hypothesis, null stands,implying the person is not guilty. Or, the person remain innocent..

What is the default position in a hypothesis test?

The default position in a hypothesis test is that the null hypothesis is correct. Like a court case, the sampleevidence must exceed the evidentiary standard, which is the significance level, to conclude that an effect exists. The hypothesis test assesses the evidence in your sample.

What happens if you fail to reject a null hypothesis?

However, if the null hypothesis is false and you fail to reject, it is a type II error, or a false negative.

When the evidence is insufficient, do you reject the null hypothesis?

When the evidence (data) is insufficient, you fail to reject the null hypothesis but you do not conclude that the data proves the null is true. In a legal case that has insufficient evidence, the jury finds the defendant to be “not guilty” but they do not say that s/he is proven innocent.