Study Guides for Rivaux S L

UT-AUSTINS W 318Rivaux S LSpring

S W 318 Study Guide - Final Guide: Statistical Inference, Scatter Plot, Total Variation

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In order to cause something: a has to come before b, a and b have to be related, there can be no other variables explaining this. Anova an inferential
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UT-AUSTINS W 318Rivaux S LSpring

S W 318- Midterm Exam Guide - Comprehensive Notes for the exam ( 14 pages long!)

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Typically, the independent variable is placed on the x-axis (horizontal axis), while the dependent variable is places on the y-axis (vertical axis) Lin
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UT-AUSTINS W 318Rivaux S LSpring

S W 318 Study Guide - Midterm Guide: Interval Ratio, Spurious Relationship, Central Limit Theorem

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The relationship between f critical and f obtained: The p value and f obtained go together. The region of significance is anything bigger than f critic
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UT-AUSTINS W 318Rivaux S LSpring

S W 318 Study Guide - Midterm Guide: Control Variable, Confidence Interval, Chi-Squared Distribution

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In class stats review: when we can assume the curve is normal, we know two things about it. We know all the values underneath the curve (z scores) and
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UT-AUSTINS W 318Rivaux S LSpring

S W 318 Midterm: In-Class Review Exam 2

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Know how to compute z scores and confidence intervals. Chapter 9: testing hypothesis: independent sample t-test. Know what paired sample t-test is but
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UT-AUSTINS W 318Rivaux S LSpring

S W 318 Midterm: Exam 2 Book Review Stats

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Normal distribution a bell-shaped and symmetrical theoretical distribution with the mean, the median, and the mode all coinciding at its peak and with
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UT-AUSTINS W 318Rivaux S LSpring

S W 318 Study Guide - Quiz Guide: Bar Chart, Ordinal Data, Statistical Inference

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Chapter 1: the what and why of statistics: Cause has to precede effect in time. There has to be an empirical relationship between cause and effect. The
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UT-AUSTINS W 318Rivaux S LSpring

S W 318 Study Guide - Quiz Guide: Standard Deviation, Statistical Inference, Descriptive Statistics

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Time series how many things change over time. Can be used with ordinal, nominal, or interval-ratio. Time series: do not use when time is not included.
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