New User Special Price Expires in

Let's log you in.

Sign in with Facebook


Don't have a StudySoup account? Create one here!


Create a StudySoup account

Be part of our community, it's free to join!

Sign up with Facebook


Create your account
By creating an account you agree to StudySoup's terms and conditions and privacy policy

Already have a StudySoup account? Login here

Unit Normal Table

by: Amy Turk

Unit Normal Table Psyc-21621

Amy Turk

Preview These Notes for FREE

Get a free preview of these Notes, just enter your email below.

Unlock Preview
Unlock Preview

Preview these materials now for free

Why put in your email? Get access to more of this material and other relevant free materials for your school

View Preview

About this Document

Notes on Chapter 6
Quantitative Methods Psych I
Dr. Gordon
Class Notes
unit, normal, Table, z-score, distribution, inferential, Psychology, Stats, Statistics, Probabilities, sample, space
25 ?




Popular in Quantitative Methods Psych I

Popular in Psychlogy

This 3 page Class Notes was uploaded by Amy Turk on Wednesday April 27, 2016. The Class Notes belongs to Psyc-21621 at Kent State University taught by Dr. Gordon in Spring 2016. Since its upload, it has received 4 views. For similar materials see Quantitative Methods Psych I in Psychlogy at Kent State University.


Reviews for Unit Normal Table


Report this Material


What is Karma?


Karma is the currency of StudySoup.

You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!

Date Created: 04/27/16
Psych Stats Powerpoint 6 ● we can identify important sections of the normal distribution using z- scores ● because we know what percent of scores falls in each part of the distribution, we can define the normal distribution in terms of proportions ○ these percentages/proportions apply to any normal distribution, regardless of the values for the mean and SD ● 68-95-99.7% rule ● if you know the z-score, you can find the proportion above or below that score using the unit normal table Unit Normal Table ● lists proportions of the normal distribution for a range of possible z- score values ● imagine you draw a line at a particular z-score ○ this line seperates the distribution into a larger segment (the body) and a smaller segment (the tail) ○ the table provides proportions for these segments ● proportions will be exactly the same on the negative and positive side ● proportion of scores greater than (in the tail) z = 2.0 is the same as the proportion of scores less than (in the tail) z = -2.0 ● finding the proportion using the table ○ determine the z-score ○ locate the z-score in the table ■ find the approximate row ■ you are looking for the closest z-score ○ find the proportion of interest ■ body = b ■ tail = c ■ between the mean = d ● finding the probability between 2 scores ○ take the larger probability from the mean and subtract the smaller probability from the mean ● find the proportion between the mean and the z-scores and subtract them ● probability is used in inferential stats ○ determine whether an outcome (score) is noteworthy (significant) ■ if individuals have scores around the mean, we conclude the treatment has no effect ■ if individuals have scores noticeably different from the mean, we can conclude the treatment has had an effect ● we use probabilities to determine what is “noticeably different” from the mean ● we use the extreme 5% boundary as proof that the treatment has had an effect ○ scores that are very unlikely to be obtained from the original population ○ if someone falls into this area after the treatment, we conclude that the treatment had an effect ○ the magic p<.05 value ● middle 95% = high probability values, indicating that the treatment has no effect ● probability = the likelihood that a particular outcome will occur out of several possible outcomes ● expressed as a fraction or proportion ● probability of A = number of outcomes classified as A divided by the total number of possible outcomes ● frequency = how many times something happens ● relative frequency = the number of times something happens relative to the number of times it could have happened (expressed as a proportion) ● expected relative frequency = the number of outcomes divided by the total number you would expect over a long period of time ● probability is an expectation, not a fact ○ tells us what is likely to happen, not what will happen Why Study Probability? ● fundamental to inferential stats ○ every conclusion we draw from data is based on probability ○ helps us make decisions based on the probability of events ● quantify randomness or uncertainty ● understanding the likelihood of events Math Definitions ● probability model = a mathematical description of a random phenomenon ● event = one specific outcome ○ event probability always between 0 and 1 ● sample space = all of the possible events ○ sample space probability always equals 1 Random Sampling ● an assumption of most psychological research and of stats ● requires that each person has an equal chance of being selected ● the probability of being selected stays constant ● the probability that an event does not happen is 1 minus the probability the event does happen ○ p(not A) = 1 - p(A) ● if two events are disjoint, the probability that one or the other occurs is the sum of the probabilities that both occur ● p(A or B) = p(A) + p(B) ● if event A happens, then event B cannot happen ○ if someone is male, then he cannot be female ● if two events are independent, the probability that both occur is the product of the probabilities that each occurs ○ p(A & B) = p(A) * p(B) ● independent events = result of event A does not influence the result of event B ● most variables we analyze in psychology are continuous variables ● we can assess the probability of a certain score (outcome) by using z- scores and the normal distribution


Buy Material

Are you sure you want to buy this material for

25 Karma

Buy Material

BOOM! Enjoy Your Free Notes!

We've added these Notes to your profile, click here to view them now.


You're already Subscribed!

Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'

Why people love StudySoup

Jim McGreen Ohio University

"Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."

Allison Fischer University of Alabama

"I signed up to be an Elite Notetaker with 2 of my sorority sisters this semester. We just posted our notes weekly and were each making over $600 per month. I LOVE StudySoup!"

Jim McGreen Ohio University

"Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."

Parker Thompson 500 Startups

"It's a great way for students to improve their educational experience and it seemed like a product that everybody wants, so all the people participating are winning."

Become an Elite Notetaker and start selling your notes online!

Refund Policy


All subscriptions to StudySoup are paid in full at the time of subscribing. To change your credit card information or to cancel your subscription, go to "Edit Settings". All credit card information will be available there. If you should decide to cancel your subscription, it will continue to be valid until the next payment period, as all payments for the current period were made in advance. For special circumstances, please email


StudySoup has more than 1 million course-specific study resources to help students study smarter. If you’re having trouble finding what you’re looking for, our customer support team can help you find what you need! Feel free to contact them here:

Recurring Subscriptions: If you have canceled your recurring subscription on the day of renewal and have not downloaded any documents, you may request a refund by submitting an email to

Satisfaction Guarantee: If you’re not satisfied with your subscription, you can contact us for further help. Contact must be made within 3 business days of your subscription purchase and your refund request will be subject for review.

Please Note: Refunds can never be provided more than 30 days after the initial purchase date regardless of your activity on the site.