Chap 1 Reading Guide key
... 13. What is the difference between unimodal, bimodal, and multimodal data? Unimodal data has a distribution that is single-peaked (one mode). Bimodal data has two peaks (2 modes) and multimodal data refer to distributions with more than two clear peaks. 14. How do you make a stemplot? Separate all d ...
... 13. What is the difference between unimodal, bimodal, and multimodal data? Unimodal data has a distribution that is single-peaked (one mode). Bimodal data has two peaks (2 modes) and multimodal data refer to distributions with more than two clear peaks. 14. How do you make a stemplot? Separate all d ...
Activity 3
... note that the data is summarized as each player’s per-game average. You should find their name, along with the most commonly used basketball statistics. Take a second to look over the data and make sure you understand the organization and naming. The “variable view” can be used to see the full expla ...
... note that the data is summarized as each player’s per-game average. You should find their name, along with the most commonly used basketball statistics. Take a second to look over the data and make sure you understand the organization and naming. The “variable view” can be used to see the full expla ...
Practice Exam 1 - Answers 4. The following data represent the daily
... Would the probabilities generated from this data be classical, empirical or subjective probability? Empirical – based on data ...
... Would the probabilities generated from this data be classical, empirical or subjective probability? Empirical – based on data ...
1exam2-2007-answers
... The mean of this variable is 85.0. Choose one: the median is less than 85.0 the median is more than 85.0 the median is equal to 85.0 (within rounding) can’t tell from the information given First: There are 100 observations, so the median should be between the 50th and 51st observations, counting fro ...
... The mean of this variable is 85.0. Choose one: the median is less than 85.0 the median is more than 85.0 the median is equal to 85.0 (within rounding) can’t tell from the information given First: There are 100 observations, so the median should be between the 50th and 51st observations, counting fro ...
The PsychSim5 Activities - Greenwich Public Schools
... If two variables are uncorrelated (or not correlated) the correlation coefficient is near zero. Look at the example from screen 6 of the exercise: persons with high values on variable 1 are equally likely to have either high or low values on variable 2, and vice versa. Correlation Coefficient What i ...
... If two variables are uncorrelated (or not correlated) the correlation coefficient is near zero. Look at the example from screen 6 of the exercise: persons with high values on variable 1 are equally likely to have either high or low values on variable 2, and vice versa. Correlation Coefficient What i ...
Weight of Evidence Formula Guide
... Regression. Specifically, logistic regression will fit a linear regression equation of predictors (or WoEcoded continuous predictors) to predict the logit-transformed binary Goods/Bads dependent or Y variable. Therefore, by using WoE-coded predictors in logistic regression, the predictors are all pr ...
... Regression. Specifically, logistic regression will fit a linear regression equation of predictors (or WoEcoded continuous predictors) to predict the logit-transformed binary Goods/Bads dependent or Y variable. Therefore, by using WoE-coded predictors in logistic regression, the predictors are all pr ...
Exploring Data
... The mean and the median are the most common measures of center. If a distribution is perfectly symmetric, the mean and the median are the same. The mean is not resistant to outliers. ...
... The mean and the median are the most common measures of center. If a distribution is perfectly symmetric, the mean and the median are the same. The mean is not resistant to outliers. ...
PowerPoint
... Her final grades along with the number of credits for each course were A (3 credits), A (4 credits), B (3 credits), C (3 credits), and F (1 credit). The grading system assigns quality points to letter grades as follows: ...
... Her final grades along with the number of credits for each course were A (3 credits), A (4 credits), B (3 credits), C (3 credits), and F (1 credit). The grading system assigns quality points to letter grades as follows: ...
Lecture 5
... until only those variables that “fit” are left in the model. Also referred to as least fit or best fit. ...
... until only those variables that “fit” are left in the model. Also referred to as least fit or best fit. ...
PPT
... • Null effect = 0.00 • Range from -∞ to ∞ • Cohen’s effect size categories – small = 0.20 medium = 0.50 ...
... • Null effect = 0.00 • Range from -∞ to ∞ • Cohen’s effect size categories – small = 0.20 medium = 0.50 ...
3-2 Basics Concepts of Measures of Center Part 1 Arithmetic Mean
... the measure of center obtained by adding the values and dividing the total by the number of values ...
... the measure of center obtained by adding the values and dividing the total by the number of values ...
The Choice of an Appropriate Statistic
... Fahrenheit scale, is actually an interval level variable, and differs from a ratio level variable only in that the zero point is not absolute. Ordinal level variables differ from both interval and ratio level variables in that there is no consistency in the amount of difference between any two point ...
... Fahrenheit scale, is actually an interval level variable, and differs from a ratio level variable only in that the zero point is not absolute. Ordinal level variables differ from both interval and ratio level variables in that there is no consistency in the amount of difference between any two point ...
Psychological Research Methods
... 2. To confirm the results and conclusions of a research study, the study must be replicated. 3. The study must be repeated and it must produce the same or similar results as before. 4. If there are different results, then the findings of the first study are questioned. ...
... 2. To confirm the results and conclusions of a research study, the study must be replicated. 3. The study must be repeated and it must produce the same or similar results as before. 4. If there are different results, then the findings of the first study are questioned. ...
Math 138 Summer 4 2013 Section 442
... How: Collection by US Census Bureau (method not given) Why: Required by law (other answers OK.) b. Name the variables and specify for each variable whether it should be treated as a quantitative or categorical variable. For the quantitative variables, give the units. (5 points) Person (Categorical), ...
... How: Collection by US Census Bureau (method not given) Why: Required by law (other answers OK.) b. Name the variables and specify for each variable whether it should be treated as a quantitative or categorical variable. For the quantitative variables, give the units. (5 points) Person (Categorical), ...
STATS Final²Review²(S1)²
... 19) Calculate the residual for a block with 10 street-lights and 1 crime a month. A. –0.6 B. 0.6 C. –0.4 D. 0.4 E. –1.2 20) What is the correlation coefficient, r ? A. The strength of the relationship between any two variables B. The strength of the relationship between any two numerical variables C ...
... 19) Calculate the residual for a block with 10 street-lights and 1 crime a month. A. –0.6 B. 0.6 C. –0.4 D. 0.4 E. –1.2 20) What is the correlation coefficient, r ? A. The strength of the relationship between any two variables B. The strength of the relationship between any two numerical variables C ...
Lecture 1 handout - Personal Web Pages
... a measure of the amount of variation in the sample But the mean deviation is always zero because the positives deviations exactly cancel the negative ones ...
... a measure of the amount of variation in the sample But the mean deviation is always zero because the positives deviations exactly cancel the negative ones ...
Research Methods Powerpoint
... Calculating the probability that scores are above or below the mean Step 1 – calculate the mean Step 2 - calculate/find the standard deviation or variance. If you only have the variance you must calculate the standard deviation Step 3 draw a normal distribution curve and find the scores for each sta ...
... Calculating the probability that scores are above or below the mean Step 1 – calculate the mean Step 2 - calculate/find the standard deviation or variance. If you only have the variance you must calculate the standard deviation Step 3 draw a normal distribution curve and find the scores for each sta ...
Introduction-to-Statistics-1
... called a Factor when controlled by experimenter. It is often nominal (e.g. treatment) Covariate when not controlled. ...
... called a Factor when controlled by experimenter. It is often nominal (e.g. treatment) Covariate when not controlled. ...
Effect Size Slide Show
... • Null effect = 0.00 • Range from -∞ to ∞ • Cohen’s effect size categories – small = 0.20 medium = 0.50 ...
... • Null effect = 0.00 • Range from -∞ to ∞ • Cohen’s effect size categories – small = 0.20 medium = 0.50 ...
Research Methods - Adair County Schools
... independent variable (what defines a violent show?) would be shows that have scenes of fighting, bloodshed, use of weapons, injury, kicks, punches, etc. IE. The operational definition of the dependent variable (what constitutes an increase in aggressive behavior?) would be an increase in agitation ...
... independent variable (what defines a violent show?) would be shows that have scenes of fighting, bloodshed, use of weapons, injury, kicks, punches, etc. IE. The operational definition of the dependent variable (what constitutes an increase in aggressive behavior?) would be an increase in agitation ...
Examples - Solon City Schools
... • The bigger the difference between groups the less likely it is that it's due to chance. • The larger the sample size (number of patients) the more likely it is that the observed difference is close to the actual difference. This is an example of the "law of large numbers." – Ie. The smaller the re ...
... • The bigger the difference between groups the less likely it is that it's due to chance. • The larger the sample size (number of patients) the more likely it is that the observed difference is close to the actual difference. This is an example of the "law of large numbers." – Ie. The smaller the re ...
Study Guide - Michigan State University
... “numeric” values we assign to the answers are arbitrary and meaningless. c) Interval Ratio: Two properties i) Equal distance between values ii) 0 is a real value 4) What does Healey mean by “data reduction”? a) Data reduction involves using a few numbers to summarize the distribution of a variable, ...
... “numeric” values we assign to the answers are arbitrary and meaningless. c) Interval Ratio: Two properties i) Equal distance between values ii) 0 is a real value 4) What does Healey mean by “data reduction”? a) Data reduction involves using a few numbers to summarize the distribution of a variable, ...
1_ClassNotes
... or subjects for the purpose of differentiating between them on a particular attribute such as a test or some type of psychological construct (e.g., motivation). Four Characteristics: 1. Distinctiveness (if the numbers assigned to subjects or objects differ on the property being assigned such as part ...
... or subjects for the purpose of differentiating between them on a particular attribute such as a test or some type of psychological construct (e.g., motivation). Four Characteristics: 1. Distinctiveness (if the numbers assigned to subjects or objects differ on the property being assigned such as part ...