## How do you read statistics in a journal article?

1:34:50Suggested clip 115 secondsUnderstanding Statistics and Journal Articles – YouTubeYouTubeStart of suggested clipEnd of suggested clip

**How do you analyze statistics?**

Statistical Analysis: Definition, ExamplesSummarize the data. For example, make a pie chart.Find key measures of location. Calculate measures of spread: these tell you if your data is tightly clustered or more spread out. Make future predictions based on past behavior. Test an experiment’s hypothesis.

**Can a single value be called statistics?**

A statistical function, such as Mean, Median, or Variance, summarizes a sample of values by a single value. But, you can also apply a statistical function over an array of data index by specifying that index as an optional parameter.

### What is J in statistics?

The reason why “j is often used to describe the j’th predictor” is because you are usually already using ‘i’ to index the dependent variable. I.e you have something like: Y_i = \sum_{j=1}^m β_j X_j. so you are using ‘i’ to index the Ys, and the ‘j’ to index the Xs. 0.

**What is control in statistics?**

If a process produces a set of data under what are essentially the same conditions and the internal variations are found to be random, then the process is said to be statistically under control. That part of the test which involves the standard of comparison is known as the control.

**What are values in statistics?**

In statistics, the p-value is the probability of obtaining results at least as extreme as the observed results of a statistical hypothesis test, assuming that the null hypothesis is correct. A smaller p-value means that there is stronger evidence in favor of the alternative hypothesis.

#### How do you find a paired t statistic?

Paired Samples T Test By handSample question: Calculate a paired t test by hand for the following data:Step 1: Subtract each Y score from each X score.Step 2: Add up all of the values from Step 1. Step 3: Square the differences from Step 1.Step 4: Add up all of the squared differences from Step 3.