# Why is significance important in history?

## Why is significance important in history?

Historical significance is the process used to evaluate what was significant about selected events, people, and developments in the past. The key to understanding significance is to understand the distinction between teaching significant history, and asking students to make judgements about significance.”

**How do you determine the significant difference between two groups?**

The determination of whether there is a statistically significant difference between the two means is reported as a p-value. Typically, if the p-value is below a certain level (usually 0.05), the conclusion is that there is a difference between the two group means.

**Can Anova be used to compare two groups?**

For a comparison of more than two group means the one-way analysis of variance (ANOVA) is the appropriate method instead of the t test. As the ANOVA is based on the same assumption with the t test, the interest of ANOVA is on the locations of the distributions represented by means too.

### How do you compare two datasets with different sample sizes?

One way to compare the two different size data sets is to divide the large set into an N number of equal size sets. The comparison can be based on absolute sum of of difference. THis will measure how many sets from the Nset are in close match with the single 4 sample set.

**How do you compare two different means?**

Comparison of Means Techniques

- Independent Samples T-Test. Use the independent samples t-test when you want to compare means for two data sets that are independent from each other.
- One sample T-Test.
- Paired Samples T-Test.
- One way Analysis of Variance (ANOVA).

**Why is it useful to compare two samples?**

Often we wish to compare two samples, in order to make inferences about possible differences between the two sampled populations, or differences between subjects in different experimental conditions. It is important to remember that distributions may differ in many respects: location, spread, and shape.

#### How do you know if two samples are independent?

Independent samples are measurements made on two different sets of items. If the values in one sample affect the values in the other sample, then the samples are dependent. If the values in one sample reveal no information about those of the other sample, then the samples are independent.

**How do you know if two sets of data are statistically different?**

The Students T-test (or t-test for short) is the most commonly used test to determine if two sets of data are significantly different from each other.

**When two data sets are compared what characteristics will give the most accurate prediction?**

Sample Answer: If the trend line of scatterplots for two data sets are compared, the one more likely to provide an accurate prediction is the one with the stronger correlation.