Login

Statistical Analysis for Psychology: Descriptive & Inferential Statistics

An error occurred trying to load this video.

Try refreshing the page, or contact customer support.

Coming up next: History of Psychology Flashcards

You're on a roll. Keep up the good work!

Take Quiz Watch Next Lesson
 Replay
Your next lesson will play in 10 seconds
  • 0:46 Statistical Analysis
  • 1:04 Descriptive Statistics
  • 1:22 Central Tendency
  • 2:47 Standard Deviation and…
  • 3:17 Inferential Statistics
Add to Add to Add to

Want to watch this again later?

Log in or sign up to add this lesson to a Custom Course.

Login or Sign up

Timeline
Autoplay
Autoplay
Create an account to start this course today
Try it free for 5 days!
Create An Account

Recommended Lessons and Courses for You

Lesson Transcript
Instructor: Ellie Green

Ellie holds a B.A. with Honors in English from Stanford University. She is pursuing a Ph.D. in English Literature at Princeton University.

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.

Descriptive statistics also address the dispersion of a set, or how widely its elements vary. The standard deviation and variance are related measures that can give psychologists a sense of this for their data. Both tell psychologists how far from the mean an individual data point is likely to be. So while the data set of your donut survey has an outlier (13), the equations to calculate standard deviation and variance take the probability of each result into account. Since 13 doesn't have as high of a probability as two, it doesn't weigh as heavily into calculating how widely responses are likely to vary.

To unlock this lesson you must be a Study.com Member.
Create your account

Register for a free trial

Are you a student or a teacher?
I am a teacher
What is your educational goal?
 Back

Unlock Your Education

See for yourself why 10 million people use Study.com

Become a Study.com member and start learning now.
Become a Member  Back

Earning College Credit

Did you know… We have over 95 college courses that prepare you to earn credit by exam that is accepted by over 2,000 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.

To learn more, visit our Earning Credit Page

Transferring credit to the school of your choice

Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.

Create an account to start this course today
Try it free for 5 days!
Create An Account
Support