# What test compares the means of two groups?

t-test

## How do you test statistical significance between two groups?

Steps in Testing for Statistical Significance

1. State the Research Hypothesis.
2. State the Null Hypothesis.
3. Select a probability of error level (alpha level)
4. Select and compute the test for statistical significance.
5. Interpret the results.

## Which statistical test is used to compare group means in a sample?

compare means t-test

## Is t test same as Anova?

What are they? The t-test is a method that determines whether two populations are statistically different from each other, whereas ANOVA determines whether three or more populations are statistically different from each other.

## What is Chi-Square t-test and Anova?

Chi-Square test is used when we perform hypothesis testing on two categorical variables from a single population or we can say that to compare categorical variables from a single population. By this we find is there any significant association between the two categorical variables.

## Where do we use Chi-Square t-test and Anova?

Chi-square test is used to compare categorical variables. A chi-square fit test for two independent variables is used to compare two variables in a contingency table to check if the data fits. b. A high chi-square value means that data doesn’t fit. Alternate: Variable A and Variable B are not independent.

## What are the conditions for a 2 sample t-test?

Two-sample t-test assumptions

• Data values must be independent.
• Data in each group must be obtained via a random sample from the population.
• Data in each group are normally distributed.
• Data values are continuous.
• The variances for the two independent groups are equal.

## Why do we use two sample t-test?

The two-sample t-test is one of the most commonly used hypothesis tests in Six Sigma work. It is applied to compare whether the average difference between two groups is really significant or if it is due instead to random chance.

## How do I compare two groups in SPSS?

The Compare Means procedure is useful when you want to summarize and compare differences in descriptive statistics across one or more factors, or categorical variables. To open the Compare Means procedure, click Analyze > Compare Means > Means. A Dependent List: The continuous numeric variables to be analyzed.

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