Statistical Analysis for Psychology: Descriptive & Inferential Statistics

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  • 0:05 Statistical Analysis
  • 0:58 Descriptive Statistics
  • 2:37 Standard Deviation and…
  • 3:17 Inferential Statistics
  • 4:25 Lesson Summary
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Lesson Transcript
Instructor: Paul Bautista
What are the two main types of statistics used by psychologists? In this lesson, you'll start to see what psychologists need to do to analyze their data and test the significance of their results.

Once psychologists have carefully chosen a study design appropriate for their subjects, thought carefully about their variables and measurements, selected a sample group and run their tests, they're typically faced with a mountain of data. It could be anything from survey results to maps of brain activity. In order to make the experimental process worthwhile, psychologists must now find ways to interpret and draw conclusions from their data. They ultimately want to test whether the data supports or rejects their hypothesis.

In order to do this, psychologists use statistical analysis. They make use of two main types of statistics: descriptive and inferential. Descriptive statistics help psychologists get a better understanding of the general trends in their data, while inferential statistics help them draw conclusions about how their variables relate to one another.

Descriptive statistics are basically what they sound like: they describe and summarize a set of data. Descriptive statistics could be things like the average age of participants or how many were men and women. Your GPA is a descriptive statistic; it summarizes how you've done in school. These kinds of statistics generally make use of averages, also known as the central tendency of the data, to summarize the data set. There are three kinds of averages that you may have learned about in math class: mean, median, and mode. The mean is what's most commonly associated with average; it's when you add up a set of numbers and then divide by how many are in the set. Let's say you did a survey of how many donuts per week your neighbors eat. Only five of your neighbors respond, giving you a data set that looks like this: {1, 2, 2, 2, 13}. The mean number of donuts your neighbors eat is (1+2+2+2+13)/5, or four. But since one of your neighbors is an outlier and eats way more donuts per week than the others combined, the median or mode might be a better measure of central tendency for this data set. The median of a set is just the number that divides the set in half if you've ordered it from least to greatest - so in this case, two, or the number in the middle. The mode is the most frequently repeated number in the set - in this case, also two. You can remember mode by just replacing the last two letters--mode is 'most.' Though the mean is often a great tool for measuring central tendency, in this case two donuts per week is much more realistic than four.

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