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

PSYS 054 Notes, Psychological Science Statistics

by: Delaney Row

PSYS 054 Notes, Psychological Science Statistics PSYS 054

Marketplace > University of Vermont > Psychlogy > PSYS 054 > PSYS 054 Notes Psychological Science Statistics
Delaney Row
GPA 3.65

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

These notes cover probability
Statistics for Psychological Science
Keith Burt
Class Notes
Psychological Science Stats, Psych stats
25 ?




Popular in Statistics for Psychological Science

Popular in Psychlogy

This 3 page Class Notes was uploaded by Delaney Row on Monday February 8, 2016. The Class Notes belongs to PSYS 054 at University of Vermont taught by Keith Burt in Fall 2016. Since its upload, it has received 37 views. For similar materials see Statistics for Psychological Science in Psychlogy at University of Vermont.


Reviews for PSYS 054 Notes, Psychological Science Statistics


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: 02/08/16
PSYS  054  -­‐  Statistics  for  Psychological  Science     Finding  Area  Under  the  Curve   • There  are  3  basic  scenarios  this  happens  in:   1. The  area  between  a  z-­‐score  and  the  mean   a. This  is  the  easiest  to  do;  you  just  look  up  the  number  in  a   statistical  table  showing  the  normal  distribution  of  z   2. The  area  above  or  below  a  z-­‐score   a. This  is  semi-­‐easy  and  semi-­‐hard;  you  need  to  pay  attention  to   the  sign  of  the  z-­‐score  (negative  or  positive)   3. The  area  between  two  z-­‐scores   a. This  is  the  hardest  to  find;  you  have  to  look  up  the  two   numbers  in  the  statistical  table  showing  the  normal   distribution  of  z,  and  find  the  area  below  each  score,  then   subtract  the  smaller  number  from  the  larger  number   (example-­‐  40-­‐10)   • NOTE:  the  statistical  table  that  shows  the  normal  distribution  of  z  shows  the   z-­‐scores  as  all  positive  numbers.  If  your  z-­‐score  is  negative,  find  the  absolute   value  of  it  (so  the  positive  version  of  the  number)     In  the  Normal  Distribution  of  z  table:   • The  first  column  labeled  z  shows  the  z-­‐score,  which  can  be  positive  or   negative  (just  use  the  absolute  value  of  z)   • The  ‘mean  to  z’  column  shows  the  percentage  of  the  curve  that  is  between  the   mean  and  the  z-­‐score   • The  ‘larger  portion’  column  shows  the  percentage  of  the  curve  that  is  below   (for  a  positive  z-­‐score)  or  above  (for  a  negative  z-­‐score)  the  z-­‐score   • The  ‘smaller  portion’  column  shows  the  percentage  of  the  curve  that  is  above   (for  a  positive  z-­‐score)  or  below  (for  a  negative  z-­‐score)  the  z-­‐score     Basics  of  Probability   • Terms  to  know:   o Trial  –  the  process  of  chance  resulting  in  an  outcome  (an  example   would  be  flipping  a  coin:  flipping  and  either  getting  heads  or  tails)   o Outcome  –  any  possible  result  you  can  get  from  a  trial  (the  outcome   would  be  either  heads  or  tails)   o Event  (E)  –  the  result/results  you  are  interested  in  (if  you  are   recording  the  number  of  times  you  get  heads,  the  event  would  be   heads)   o Sample  Space  (Numbering  N)  –  the  total  set  of  possible  outcomes  (2  –   heads  and  tails)     • Probability  is  expressed  in  numbers  ranging  from  zero  to  one:   o P(E)  =  E  /  N  (read  as  the  probability  of  events  is  the  event  divided  by   the  number  of  possible  outcomes)   § Probability  that  is  closer  to  zero  means  it  has  a  very  small   chance  of  happening   § Probability  that  is  closer  to  one  means  it  has  a  very  large   chance  of  happening   o NOTE:  Since  ‘p’  is  the  probability  of  something  happening,  then  ‘1-­‐p’  is   the  probability  of  that  that  NOT  happening   o Example:  Rolling  a  die  (One  Trial)   § Possible  outcomes:  6  (sample  space  =  {1,2,3,4,5,6}   § Desired  event:  rolling  a  “1”   • There  is  only  one  way  to  get  this  event,  so,  p(E)  =  1/6  =   0.17   § Desired  event:  roll  an  “even  number”   • There  are  three  ways  to  get  this  event,  so,  p(E)  =  3/6  =   0.50     • Probability:  Event  Definitions  (One  Trial)   o Mutually  exclusive:  events  that  cannot  occur  at  the  same  time  as  each   other     § Example  –  rolling  an  odd  number  versus  rolling  an  even   number  on  a  die  on  one  roll  (they  cannot  happen  at  the  same   time)   o Collectively  exhaustive:  when  at  least  one  of  the  events  must  occur     § Example  –  rolling  an  odd  number  versus  rolling  {1,2,3,4}  on  a   die  on  one  roll       • Probability:  Trial  Definitions  (Two  or  More  Trials)   o Independent  trials:  trials  will  be  independent  if  the  happening  of  one   trial  does  not  affect  the  probability  of  the  other  trial   § Example  –  flipping  a  coin  two  times,  one  after  another     § NOTE:  when  you  are  sampling  with  replacement,  that  is   independent   o Dependent  trials:  trials  will  be  dependent  if  the  happening  of  one  trial   affects  the  probability  of  the  other  trial   § Drawing  cards  from  a  deck  without  replacing  them  into  the   deck  again  after  each  draw     • Probability:  Basic  Addition  Rule   o Consists  of  ONE  trial   o If  two  individual  events  are  mutually  exclusive,  then  the  probability  of   either  A  or  B  occurring  =  p(A)  +  p(B)   o Example:   § Pulling  either  a  Jack  or  a  King  from  a  deck  of  cards:   • p(J)  =  4/52   • p(K)  =  4/52   • p(J  or  K)  =  4/52  +  4/52  =  8/52  =  0.15     • Probability:  Basic  Multiplication  Rule   o Consists  of  TWO  trials   o If  two  individual  trials  are  independent,  then  p(A  and  B)  =  p(A)  x  p(B)   o Example:   § Chance  of  flipping  a  coin  and  getting  heads  once  =  0.5   § Chance  of  flipping  a  coin  and  getting  heads  twice  in  a  row  =  0.5   x  0.5  =  0.25     • More  Probability  Rules   o Advanced  addition  rule   § Consists  of  one  trial   § Happens  with  non-­‐mutually  exclusive  events  (cannot  happen   at  the  same  time)   § p(A  or  B)  =  p(A)  +  p(B)  –  p(A  and  B)   o Advanced  multiplication  rule   § Happens  with  dependent  trials   § p(A  and  B)  =  p(A)  x  p(B|A)     • Conditional  Probability   o Describing  the  chance  of  something  occurring,  given  certain   conditions   o The  notation  is  p(A|B),  which  reads  as  “the  probability  of  A  given  B”  or   “the  probability  of  A  if  B  occurs”  


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

Steve Martinelli UC Los Angeles

"There's no way I would have passed my Organic Chemistry class this semester without the notes and study guides I got from StudySoup."

Kyle Maynard Purdue

"When you're taking detailed notes and trying to help everyone else out in the class, it really helps you learn and understand the I made $280 on my first study guide!"

Bentley McCaw University of Florida

"I was shooting for a perfect 4.0 GPA this semester. Having StudySoup as a study aid was critical to helping me achieve my goal...and I nailed it!"

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.