answersLogoWhite

0

Still curious? Ask our experts.

Chat with our AI personalities

BlakeBlake
As your older brother, I've been where you are—maybe not exactly, but close enough.
Chat with Blake
DevinDevin
I've poured enough drinks to know that people don't always want advice—they just want to talk.
Chat with Devin
JudyJudy
Simplicity is my specialty.
Chat with Judy

Add your answer:

Earn +20 pts
Q: Can Bayesian testing come to the same conclusion as null hypothesis significance testing?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Other Math

When should you accept a null hypothesis?

The null hypothesis cannot be accepted. Statistical tests only check whether differences in means are probably due to chance differences in sampling (the reason variance is so important). So if the p-value obtained by the data is larger than the significance level against which you are testing, we only fail to reject the null. If the p-value is lower than the significance level, the null hypothesis is rejected in favor of the alternative hypothesis.


What is the null hypothesis of a one way ANOVA What is the alternate hypothesis?

When writing hypotheses the null hypothesis is generally the hypothesis stating that there will be no significant difference between the variables you are testing. An alternate hypothesis would be a hypothesis suggesting that the results will be anything other than not significant. For example if you were testing three concentrations (low, medium, and high) of a type of medication on cancer cells, then one example of an alternate hypothesis would be that the medium concentration would decrease the number of viable cancer cells.


What is the difference between testing a single mean and testing the difference between two means?

A single mean is used in testing to compare a single variable to a population mean in order to determineÊif there is aÊdifference. Two means are used in testing to compare two populations to see if there are variances between the two variables.Ê


The Central Limit Theorem is important in statistics because?

According to the central limit theorem, as the sample size gets larger, the sampling distribution becomes closer to the Gaussian (Normal) regardless of the distribution of the original population. Equivalently, the sampling distribution of the means of a number of samples also becomes closer to the Gaussian distribution. This is the justification for using the Gaussian distribution for statistical procedures such as estimation and hypothesis testing.


When do i have to have sra on to test for ssgt?

you must have SrA on 6 months prior to the end of the testing cycle. so u must have SrA already sewed on before 1 feb of the testing year.