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Lecture 1 Summary

Hailey Brown PSYC2010 English 17 cards

Lecture 1 Summary

Cards in this deck (17)

  1. 1What is a distribution?graphical representation that associates a frequency/ probability with each value of a variable
  2. 2Characteristics of a Normal Distribution?bell shaped
    unimodal and symmetrical
    mode=mean=median
    tails extend indefinitely
    although often can’t show this on graphs
    area under the curve = 100%
  3. 3the dependent variable is often assumed to be...normally distributed
    i.e., for parametric tests
  4. 4z-transformation transforms a normal distribution into a __standard normal distribution
    it puts everything on the same scale
  5. 5What does a Z score describe?how far a data point lies away from the mean, expressed in standard deviation units
  6. 6if you convert your raw scores into z-scores and plot the z-scores on a frequency distribution, it’s called a __ What is the mean and SD?standard normal distribution
    mean = 0
    SD = 1
    if you convert your raw scores into z-scores and plot the z-scores on a frequency distribution, it’s called a __ What is the mean and SD?
  7. 7z-transformation the standard normal distribution--- 1. 2. 3.1. allows comparison of performance across different tests
    2. tells you how many people score above or below you on a certain measure
    3. allows you to make inferences concerning the probability that different scores will be obtained
  8. 8IQ is normally distributed with M= SD=M=100
    SD=15
  9. 9Standard Normal Distribution % between -1 and +1 SDs68.26%
  10. 10Standard Normal Distribution % between -2 and +2 SDs95.44%
  11. 11What is the Marshmallow Experimentthey could have 1 marshmallow now or wait the whole time and at the end get 2 marshmallows
  12. 12what is inferential statisticsusing sample data to make inferences about population parameters
  13. 13Inferential statistics samples may fail to provide good estimates of the population for two reasons, what are they?1) sampling error
    2) sampling bias
  14. 14What is a sampling error?no two samples from the same population are identical - by chance there is natural variation in scores (sampling error)
  15. 15What is sampling bias?Due to faulty sampling methods, some important subgroups of the population may be over- or under-represented in our sample
    - Systematic variation (e.g., more women study Psychology)
  16. 16Statistical inference is...the foundation of hypothesis testing
  17. 17Statistical inference allows us to... 1) determine the probability that a sample is ___ 2) allows us to test the ___ of a hypothesis as if a whole population was available instead of just a small but representative sample1) from one population and not another
    2) truth

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Description
PSYC2010 Flashcards on Lecture 1 Summary, created by Hailey Brown on 08/04/2020.
Created by
Hailey Brown · Apr 2020
Updated
Apr 8, 2020
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