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How to interpret scientific & statistical graphs
How to interpret scientific & statistical graphs

... – The count/proportion of the 2nd variable’s categories is displayed within each of the 1st variable’s categories. – Allows you to compare the 2nd variable’s categories (1) within each of the 1st variable’s categories, and (2) across the 1st variable’s categories. ...
Data Analysis - Fresno State Email
Data Analysis - Fresno State Email

... • Regression analysis (dependent ratio variable – can include more than one independent variable (can be a combination of ratio, ordinal, and nominal data in the regression model). (Test statistic is R2, F, or partial correlation coefficients) ...
Chapter 8 notes, Part 1
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... (1) Estimate the mean response E(Y | X) for a given set of X1, X2, …, Xm values. (2) Predict the response for a given set of X1, X2, …, Xm values. (3) Evaluate the relationship between Y and the independent variables by interpreting the partial regression coefficients 0, 1, …, m (or their estimat ...
Multiple Regression Often we have data on several independent
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... (1) Estimate the mean response E(Y | X) for a given set of X1, X2, …, Xm values. (2) Predict the response for a given set of X1, X2, …, Xm values. (3) Evaluate the relationship between Y and the independent variables by interpreting the partial regression coefficients 0, 1, …, m (or their estimat ...
continued - University of South Alabama
continued - University of South Alabama

... In 3.15 variable x5 = prices of beer in a city ($) More description of the variables is given on page 82 Since all these five variables describe the amount of money, they are all continuous variables. They may take values between 0 to infinity. ...
Obligatory assignment 1 : Descriptive statistics
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Advice for Chapter 7
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STAT-202, Basic Statistics Exam I
STAT-202, Basic Statistics Exam I

... The average hourly wage at a fast food restaurant is $5.85 with a standard deviation of $0.35. Assume that the wages are normally distributed. 1. The minimum and the maximum wages of the middle 95% of workers are: (a) 5.50 and 6.20 (b) 5.15 and 6.55 (c) 4.80 and 6.90 (d) 5.25 and 6.45 2. The probabi ...
STAT-202, Basic Statistics Exam I
STAT-202, Basic Statistics Exam I

... The average hourly wage at a fast food restaurant is $5.85 with a standard deviation of $0.35. Assume that the wages are normally distributed. 1. The minimum and the maximum wages of the middle 95% of workers are: (a) 5.50 and 6.20 (b) 5.15 and 6.55 (c) 4.80 and 6.90 (d) 5.25 and 6.45 2. The probabi ...
Parts 1 and 2 - faculty.fairfield.edu
Parts 1 and 2 - faculty.fairfield.edu

... Sometimes instead of standard deviation, people report the standard error of the mean (SE or SEM) in text, tables, and figures. Standard error usually looks better in figures because it is not as large Standard deviation (SD) = “Average” deviation of individual scores around mean of scores Standard ...
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Chapter 1:Statistics: The Art and Science of Learning from Data
Chapter 1:Statistics: The Art and Science of Learning from Data

... • A quantitative variable is continuous if it has an infinite number of possible values • Measurements • Examples: 1. Height/Weight 2. Age 3. Blood pressure www.wtvq.com ...
Hypothesis Testing - St. Cloud State University
Hypothesis Testing - St. Cloud State University

... • Will tell whether the values significantly vary across the groups, but not precisely which group is significantly different from the others. • If significance is found, post tests must be computed to determine where the differences are. ...
Chapter 1:Statistics: The Art and Science of Learning from Data
Chapter 1:Statistics: The Art and Science of Learning from Data

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... 1. A professor records the values of several variables for each student in her class. These include the variables listed below. Which of these variables are categorical? (a) Score on the final exam (out of 100 points) (b) Final grade for the course (A, B, C, D, or F) (c) The total number of points e ...
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Introduction to Statistics

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A continuous - People Server at UNCW
A continuous - People Server at UNCW

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Tools and Techniques - Statistics: descriptive

... number of values. The median is the value that divides the distribution in half, i.e., if the observations are arranged in increasing order, the median is the middle observation. If there is an even number of observations, the average of the two middle ordered values is taken. The mode is defined as ...
T-tests, Anovas and Regression
T-tests, Anovas and Regression

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T Tests and ANovas

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Research and Statistics in Psychology
Research and Statistics in Psychology

... member of a population has an equal chance of inclusion. ...
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Categorical variable

In statistics, a categorical variable is a variable that can take on one of a limited, and usually fixed, number of possible values, thus assigning each individual to a particular group or ""category."" In computer science and some branches of mathematics, categorical variables are referred to as enumerations or enumerated types. Commonly (though not in this article), each of the possible values of a categorical variable is referred to as a level. The probability distribution associated with a random categorical variable is called a categorical distribution.Categorical data is the statistical data type consisting of categorical variables or of data that has been converted into that form, for example as grouped data. More specifically, categorical data may derive from either or both of observations made of qualitative data, where the observations are summarised as counts or cross tabulations, or of quantitative data, where observations might be directly observed counts of events happening or might be counts of values that occur within given intervals. Often, purely categorical data are summarised in the form of a contingency table. However, particularly when considering data analysis, it is common to use the term ""categorical data"" to apply to data sets that, while containing some categorical variables, may also contain non-categorical variables.A categorical variable that can take on exactly two values is termed a binary variable or dichotomous variable; an important special case is the Bernoulli variable. Categorical variables with more than two possible values are called polytomous variables; variables are often assumed to be polytomous unless otherwise specified. Discretization is treating continuous data as if it were categorical. Dichotomization is treating continuous data or polytomous variables as if they were binary variables. Regression analysis often treats category membership as a quantitative dummy variable.
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