Stats/Methods I JEOPARDY. Jeopardy CorrelationRegressionZ-ScoresProbabilitySurprise $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500 $400.

Slides:



Advertisements
Similar presentations
Lesson 10: Linear Regression and Correlation
Advertisements

Kin 304 Regression Linear Regression Least Sum of Squares
Correlation and Linear Regression.
Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.
Modular 12 Ch 7.2 Part II to 7.3. Ch 7.2 Part II Applications of the Normal Distribution Objective B : Finding the Z-score for a given probability Objective.
Describing Relationships Using Correlation and Regression
Correlation & Regression Chapter 15. Correlation statistical technique that is used to measure and describe a relationship between two variables (X and.
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE
Chapter 15 (Ch. 13 in 2nd Can.) Association Between Variables Measured at the Interval-Ratio Level: Bivariate Correlation and Regression.
9. SIMPLE LINEAR REGESSION AND CORRELATION
REGRESSION What is Regression? What is the Regression Equation? What is the Least-Squares Solution? How is Regression Based on Correlation? What are the.
SIMPLE LINEAR REGRESSION
Ch. 6 The Normal Distribution
SIMPLE LINEAR REGRESSION
REGRESSION Predict future scores on Y based on measured scores on X Predictions are based on a correlation from a sample where both X and Y were measured.
Chapter 7 Probability and Samples: The Distribution of Sample Means
Standard Scores & Correlation. Review A frequency curve either normal or otherwise is simply a line graph of all frequency of scores earned in a data.
Chapter 11: Random Sampling and Sampling Distributions
Chapter 5 DESCRIBING DATA WITH Z-SCORES AND THE NORMAL CURVE.
Chapter 6: Probability.
Normal and Sampling Distributions A normal distribution is uniquely determined by its mean, , and variance,  2 The random variable Z = (X-  /  is.
Chapter 5: z-scores.
Chapter 21 Correlation. Correlation A measure of the strength of a linear relationship Although there are at least 6 methods for measuring correlation,
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
Chapter 8: Bivariate Regression and Correlation
Lecture 16 Correlation and Coefficient of Correlation
Chapter 12 Correlation and Regression Part III: Additional Hypothesis Tests Renee R. Ha, Ph.D. James C. Ha, Ph.D Integrative Statistics for the Social.
SIMPLE LINEAR REGRESSION
Jeopardy Hypothesis Testing T-test Basics T for Indep. Samples Z-scores Probability $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500 $400.
© Copyright McGraw-Hill CHAPTER 6 The Normal Distribution.
Normal Curves and Sampling Distributions
Correlation.
Chapter 15 Correlation and Regression
230 Jeopardy Unit 4 Chi-Square Repeated- Measures ANOVA Factorial Design Factorial ANOVA Correlation $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500.
Probability Quantitative Methods in HPELS HPELS 6210.
Probability & the Normal Distribution
Normal Curve with Standard Deviation |  + or - one s.d.  |
Chapter 6 Probability PowerPoint Lecture Slides Essentials of Statistics for the Behavioral Sciences Eighth Edition by Frederick J. Gravetter and Larry.
Chapter 6 Probability. Introduction We usually start a study asking questions about the population. But we conduct the research using a sample. The role.
Statistics for the Behavioral Sciences, Sixth Edition by Frederick J. Gravetter and Larry B. Wallnau Copyright © 2004 by Wadsworth Publishing, a division.
© 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey All Rights Reserved HLTH 300 Biostatistics for Public Health Practice, Raul.
Wednesday, October 12 Correlation and Linear Regression.
Chapter 8 – 1 Chapter 8: Bivariate Regression and Correlation Overview The Scatter Diagram Two Examples: Education & Prestige Correlation Coefficient Bivariate.
Correlation is a statistical technique that describes the degree of relationship between two variables when you have bivariate data. A bivariate distribution.
Hypothesis of Association: Correlation
MEASURES of CORRELATION. CORRELATION basically the test of measurement. Means that two variables tend to vary together The presence of one indicates the.
Applied Quantitative Analysis and Practices LECTURE#11 By Dr. Osman Sadiq Paracha.
Quick Review Central tendency: Mean, Median, Mode Shape: Normal, Skewed, Modality Variability: Standard Deviation, Variance.
Chapter 7 Probability and Samples: The Distribution of Sample Means
Jeopardy Hypothesis Testing t-test Basics t for Indep. Samples Related Samples t— Didn’t cover— Skip for now Ancient History $100 $200$200 $300 $500 $400.
Thursday August 29, 2013 The Z Transformation. Today: Z-Scores First--Upper and lower real limits: Boundaries of intervals for scores that are represented.
Introduction to Statistics Chapter 6 Feb 11-16, 2010 Classes #8-9
Describing Relationships Using Correlations. 2 More Statistical Notation Correlational analysis requires scores from two variables. X stands for the scores.
Chapter 9: Correlation and Regression Analysis. Correlation Correlation is a numerical way to measure the strength and direction of a linear association.
© Buddy Freeman, 2015 Let X and Y be two normally distributed random variables satisfying the equality of variance assumption both ways. For clarity let.
Advanced Statistical Methods: Continuous Variables REVIEW Dr. Irina Tomescu-Dubrow.
1 Chapter 2: The Normal Distribution 2.1Density Curves and the Normal Distributions 2.2Standard Normal Calculations.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 6-1 Chapter 6 The Normal Distribution and Other Continuous Distributions Basic Business.
Chapter 15: Correlation. Correlations: Measuring and Describing Relationships A correlation is a statistical method used to measure and describe the relationship.
PROBABILITY. OVERVIEW Relationships between samples and populations most often are described in terms of probability. Relationships between samples and.
Describing a Score’s Position within a Distribution Lesson 5.
Chapter 11 Linear Regression and Correlation. Explanatory and Response Variables are Numeric Relationship between the mean of the response variable and.
Week 2 Normal Distributions, Scatter Plots, Regression and Random.
Midterm Review IN CLASS. Chapter 1: The Art and Science of Data 1.Recognize individuals and variables in a statistical study. 2.Distinguish between categorical.
MM150 ~ Unit 9 Statistics ~ Part II. WHAT YOU WILL LEARN Mode, median, mean, and midrange Percentiles and quartiles Range and standard deviation z-scores.
Slide Copyright © 2009 Pearson Education, Inc. Types of Distributions Rectangular Distribution J-shaped distribution.
Chapter 6: Probability. Probability Probability is a method for measuring and quantifying the likelihood of obtaining a specific sample from a specific.
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE
Chapter 18 The Binomial Test
Presentation transcript:

Stats/Methods I JEOPARDY

Jeopardy CorrelationRegressionZ-ScoresProbabilitySurprise $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500 $400

Correlation--$100 When two variables tend to move in the same direction answer

Correlation--$200 A perfect correlation is indicated by a correlation coefficient of answer

Correlation--$300 On a scatterplot, a negative correlation looks like this answer

Correlation--$400 Compute this to determine whether a consistent relationship exists between two rank-order measures. answer

Correlation--$500 Conceptually, the Pearson correlation coefficient is computed by dividing _________ by _________. answer

Regression--$100 When drawing the regression line, what is the minimum number of points you must compute and plot? answer

Regression--$200 In the regression equation, “a” stands for __________. answer

Regression--$300 In the regression equation, a negative _____ means that Y decreases when X increases. answer

Regression--$400 In general, a linear relationship between x and y can be expressed by this equation answer

Regression--$500 The variable you will use to make predictions goes on the __axis and the variable you’re interested in predicting goes on the __axis. answer

Z-Scores--$100 The z-score that would indicate a score located 2 standard deviation units below the mean. answer

Z-Scores--$200 If a person earns a score that is equal to the population mean, that person’s z-score will be ___. answer

Z-Scores--$300 The distribution of z-scores always has a standard deviation of ___. answer

Z-Scores--$400 The two pieces of population information you need in order to transform a raw score into a z- score. answer

Z-Scores--$500 If the original distribution is negatively skewed, the shape of the distribution after a z-score transformation will be ___________. answer

Probability--$100 In general, the probability of A is computed by taking __________ and dividing by ________. answer

Probability--$200 For the definition of probability to be accurate, the outcomes must be obtained by a process called ___________. answer

Probability--$300 Provides a complete listing of z- scores and their corresponding proportions of the normal distribution. answer

Probability--$400 The _____ always corresponds to the larger part of the distribution, whether it is on the right-hand side or the left-hand side of the distribution. answer

Probability--$500 When finding the ______ for a particular score, we are always looking for the proportion of the distribution to the _____ of the x value. answer

Surprise--$100 In a binomial situation, if p =.75, then q = ___. answer

Surprise--$200 Another name for a non-directional test. answer

Surprise--$300 Gives the proportion of variability in y that can be explained by the variability in x. answer

Surprise--$400 The binomial distribution is always a _____ histogram,while the normal distribution is a ________, smooth curve. answer

Surprise--$500 When ___ and ___ are both at least 10, the binomial distribution is closely approximated by a normal distribution. answer

Correlation--$100 A: What is a positive correlation? Back to board

Correlation--$200 A: What is 1 (positive & negative)? Back to board

Correlation--$300 A: What is an envelope moving down from left to right? Back to board

Correlation--$400 A: What is the Spearman correlation? Back to board

Correlation--$500 A: What is Degree to which x & Y vary together Degree to which x and y vary separately Back to board

Regression--$100 A: What is 2? Back to board

Regression--$200 A: What is the y-intercept? Back to board

Regression--$300 A: What is slope? Back to board

Regression--$400 A: What is y predicted=bx+a ? Back to board

Regression--$500 A: What is x and y (in that order)? Back to board

Z-Scores--$100 A: What is z = -2.0 ? Back to board

Z-Scores--$200 A: What is z = 0.00 ? Back to board

Z-Scores--$300 A: What is 1? Back to board

Z-Scores--$400 A: What are the population mean and the population standard deviation? Back to board

Z-Scores--$500 A: What is the same— negatively skewed? Back to board

Probability--$100 A: What is # of outcomes classified as A total # of possible outcomes Back to board

Probability--$200 A: What is random sampling? Back to board

Probability--$300 A: What is the unit normal table? Back to board

Probability--$400 A: What is the body? Back to board

Probability--$500 A: What is the percentile rank and left? Back to board

Surprise--$100 A: What is.25? Back to board

Surprise--$200 A: What is a two-tailed test? Back to board

Surprise--$300 A: What is the coefficient of determination (r 2 )? Back to board

Surprise--$400 A: What is discrete and continuous? Back to board

Surprise--$500 A: What is (p)(n) and (q)(n)? Back to board