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Class Notes for Statistics at Virginia Polytechnic Institute and State University (page 2)

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STAT 3615 Lecture Notes - Lecture 24: Statistical Inference, Statistic, Point Estimation
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Lecture 10.2 Notes Introduction to Statistical Inference Methods Statistical Inference Drawing conclusions about a population from sample data Methods: o Point Estimation using a sample statistic to estimate a parameter o ...

STAT 3615 Lecture Notes - Lecture 22: Binomial Coefficient, Random Variable
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Lecture 9.1 Notes Discrete Random Variables We have seen how to work with General Discrete RVs Some important distributions we will cover are: o Binomial One of several specific discrete probability distributions Handles p...

STAT 3615 Lecture Notes - Lecture 26: Confidence Interval, Null Hypothesis, Statistical Parameter
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Lecture 11.1 Notes Introduction to Statistical Inference Methods Statistical Inference drawing conclusions about a population from sample data Methods: o Point Estimation using a sample statistic to estimate a parameter Us...

STAT 3615 Lecture Notes - Lecture 25: Statistical Inference, Binomial Distribution, Statistic
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Lecture 10.3 Notes Introduction to Statistical Inference Methods Statistical Inference: Drawing conclusions about a population from sample data. Methods Point Estimation Using a sample statistic to estimate a parameter Con...

STAT 3615 Lecture Notes - Lecture 19: Probability Distribution, Standard Deviation, Unimodality
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Lecture 8.1 Notes Continuous Random Variables The continuous random variable, X takes all values in an interval of numbers (often measurements) We cannot describe CRVs in a table, but typically describe them using formulas...

STAT 3615 Lecture Notes - Lecture 21: Probability Plot, Standard Deviation, Normal Distribution
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Lecture 8.3 Notes Last Time Standardizing or Working Forwards o X Z P o Standardize the RV, then use the table outside in Un-Standardizing or Working Backwards o P Z X o Use table in out, the un-standardize For Practice: I...

STAT 3615 Lecture Notes - Lecture 18: Probability Distribution
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Lecture 6.3 Notes Finding the Mean from a Frequency Distribution If your classes are defined as LCL UCL o Assume that all sample values in each class are equal to the class midpoint o Use class midpoint of classes for vari...

STAT 3615 Lecture Notes - Lecture 23: Statistical Inference, Statistical Parameter, Statistic
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Lecture 10.1 Notes Introduction to Statistical Inference Methods Statistical Inference: Drawing conclusions about a population from sample data. Methods o Point Estimation Using a sample statistic to estimate a parameter U...

STAT 3615 Lecture Notes - Lecture 27: Null Hypothesis, Statistical Inference, Statistical Parameter
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Lecture 11.2 Notes Statistical Inference Methods Statistical Inference Drawing conclusions about a population from sample data Methods: o Point Estimation Using a sample statistic to estimate a parameter Usually does a dec...

STAT 3615 Lecture Notes - Lecture 20: Standard Score, Standard Deviation, Unimodality
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Lecture 8.2 Notes Key Points from Today The Normal Distribution o Family of bell-shaped, unimodal, symmetric distributions centered around the mean o The Empirical Rule (68,95,99.7) The Standard Normal Distribution o Z-sco...

STAT 3094 Lecture 13: STAT-3094 - Lecture 13 - Creating Observations from Raw Data
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Daniel T. Eisert STAT-3094 Lecture 13: Creating a Single Observation from Raw Data Creating Single Nonstandard Fields...

Statistics
STAT 3094
Eric Smith
STAT 3094 Lecture Notes - Lecture 11: Switch Statement, Credit Union, Do While Loop
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Daniel T. Eisert STAT-3094 11 Iterative DO Loops DO Group Block Recall ~ the DO group bl...

Statistics
STAT 3094
Eric Smith
STAT 3094 Lecture Notes - Lecture 12: Dollar Sign, Vise
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Daniel T. Eisert STAT-3094 12 Arrays Arrays Arrays are temporary groupings of SAS variables under a single name. They are commonly used for the following: - Perform repetitive calculations - Create several variables with t...

Statistics
STAT 3094
Eric Smith
STAT 3006 Lecture Notes - Lecture 19: Homoscedasticity, Standard Deviation, Analysis Of Variance
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Daniel T. Eisert STAT-3006 2.7 Inferences in SLR Looking ...

STAT 3006 Lecture Notes - Lecture 18: Homoscedasticity, Scatter Plot
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Daniel T. Eisert STAT-3006 2.6 SLR Assumptions Looking a...

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