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Statistics Review Sheet for Exam 2: Chapters 5, 6, and 7 - Prof. Ngoc Bui, Exams of Statistics

A review sheet for students in psy 305 statistics course, preparing for exam 2. It covers key terms and concepts from chapters 5, 6, and 7, including z-scores, probability, sampling error, and the central limit theorem.

Typology: Exams

Pre 2010

Uploaded on 08/16/2009

koofers-user-6un
koofers-user-6un 🇺🇸

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PSY 305 Page 1 of 1
Statistics Review Sheet
Review for Exam 2 (Chapters 5, 6, 7)
Chapter 5
Key terms
Raw score
Deviation score
Standardized distribution
Standardized score
z-score
z-score transformation
Know how to transform X values into z-scores, and z-scores into X values.
Know how to calculate the standard deviation based on z-scores, x-value, and mean
Know how to calculate the mean based on z-scores, x-value, and standard deviation.
Understand and describe the effects of standardizing a distribution by transforming the
entire set of X values into z-scores (e.g., what happens to the shape, the mean, and
the standard deviation?)
Be able to use z-scores to transform any distribution into a standardized distribution with
a predetermined mean and a predetermined standard deviation
Chapter 6
Key terms
Probability
Simple random sample
Sampling with replacement
Unit normal table
Be able to use the unit normal table to find probabilities for specific scores in a normal
distribution and to find the scores that correspond to specific proportions of a
normal distribution
Chapter 7
Key terms
Sampling error
Sampling distribution
Expected value of M
Law of large numbers
Distribution of sample means
Central limit theorem
Standard error of M
Be able to determine the probabilities corresponding to specific sample means using the
distribution of sample means, z-scores, and the unit normal table

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PSY 305 Page 1 of 1 Statistics Review Sheet Review for Exam 2 (Chapters 5, 6, 7) Chapter 5 Key terms Raw score Deviation score Standardized distribution Standardized score z-score z-score transformation Know how to transform X values into z-scores, and z-scores into X values. Know how to calculate the standard deviation based on z-scores, x-value, and mean Know how to calculate the mean based on z-scores, x-value, and standard deviation. Understand and describe the effects of standardizing a distribution by transforming the entire set of X values into z-scores (e.g., what happens to the shape, the mean, and the standard deviation?) Be able to use z-scores to transform any distribution into a standardized distribution with a predetermined mean and a predetermined standard deviation Chapter 6 Key terms Probability Simple random sample Sampling with replacement Unit normal table Be able to use the unit normal table to find probabilities for specific scores in a normal distribution and to find the scores that correspond to specific proportions of a normal distribution Chapter 7 Key terms Sampling error Sampling distribution Expected value of M Law of large numbers Distribution of sample means Central limit theorem Standard error of M Be able to determine the probabilities corresponding to specific sample means using the distribution of sample means, z-scores, and the unit normal table