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## Psych Stats Study Guide

by: Victoria Lassettre

68

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3

# Psych Stats Study Guide PSYX 222

Marketplace > University of Montana > Psychlogy > PSYX 222 > Psych Stats Study Guide
Victoria Lassettre
UM
GPA 3.57

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Questions covering information for exam 1.
COURSE
Psychological Statistics
PROF.
Daniel Dennis
TYPE
Study Guide
PAGES
3
WORDS
CONCEPTS
Math, Statistics, Psychology
KARMA
50 ?

## Popular in Psychlogy

This 3 page Study Guide was uploaded by Victoria Lassettre on Sunday February 21, 2016. The Study Guide belongs to PSYX 222 at University of Montana taught by Daniel Dennis in Spring 2016. Since its upload, it has received 68 views. For similar materials see Psychological Statistics in Psychlogy at University of Montana.

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Date Created: 02/21/16
Psyx 222 Study Guide: Exam 1 Chapter 1: 1. What is a statistic and what is a parameter? 2. What is a sample? 3. What is a population? 4. Why could n=1 be a sample or population? 5. Why is there variance from sample to sample? What is this phenomenon called? 6. What is are descriptive statistics? Give an example. 7. What are inferential statistics? Give an example. 8. Which of the two statistics would you use and why? 9. What is the difference between a variable and a constant? 10. Define continuous variable and give an example. 11. Define discrete variable and give an example. 12. Do continuous variables actually occur in nature, or is it made up by our own constructs? 13. Provide the four scales of measurement, define each of them and explain which of the scales is the most complex of the four. Chapter 2: 1. What is a frequency distribution and what does it display? 2. What are ungrouped and grouped intervals? Give an example. 3. An interval of 7-11 is presented, what are the nominal lower and upper limits and what are the real limits? 4. What are relative and cumulative frequency distributions? 5. Why would we use one over the other in certain scenarios? 6. What is the difference between a bar graph and a histogram? 7. Why is it a bad idea to use a pie graph in statistics? 8. Why would we want to use a frequency polygon and where would we place the points for each interval? 9. What is another term for a cumulative polygon? 10. What is better to use: a histogram or a stem and leaf plot? Why? 11. What does it mean to be negatively skewed? What about positively skewed? 12. What is kurtosis and what are the three main types? 13. Why can pictograms be misleading? Chapter 3: 1. What is dispersion and what does it mean for a data set? How does it related to central tendency? 2. What is mode and why would you use it? 3. In statistics there are two means, what are they, how do you denote them and which one is a statistic and which one is a parameter? 4. What is the formula for the arithmetic mean? And what does it represent? 5. Why do we use the mean? 6. What is the median and how is it different from the mean and mode? Why would we use it? 7. How do you calculate the median if there are an even amount of elements? What about an odd amount of elements? 8. What is interpolating and why would we use it? 9. Where would the mean, median, and mode be in a normal distribution? What about a distribution that is positively skewed or negatively skewed? 10. What are the three basic summation rules? 11. How is the mean a balance point for the data?

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