12/4/12 8:43 PM
Fall 2012
Midterm 2: Version B: Answers with explanations
1. Consider an independent t-test comparing two groups. If group 1 has a variance of 2 with 5 subjects, and group 2 has a variance of 4
with 11 subjects, then what is the best estim
12/5/13
www.the be ststa tistic s.inf o/sta /sta pr ot/z a c hmo/mid2- a nswe r s.html
Psychology 100A: Moran
Fall 2013
(Form A: Special code K=0) Midterm 2: Answers with explanations
1 . Co n sid er an in d ep en d en t t-test co mp arin g two g ro u p s
Psychology 100A: McAuliffe
Fall 2013
Homework 2: Answers with explanations
1. If the distribution of IQ is centered at 100 , and has a standard deviation of 10, then what is the IQ Z-score of someone who has an IQ
of 116?
A) 1.6
B) -1.6
C) 16
D) 0.8
E) Ca
Psychology 100A: McAuliffe
Fall 2013
Homework 1: Answers with explanations
1. A number appears on a console of a nuclear power plant where each number represents a different kind of problem, and the higher
the number, the more dangerous the problem is. Wh
12/3/12 6:43 PM
Fall 2012
Homework 1: Answers with explanations
1. On a game show, a car is hidden behind one of 5 doors. You randomly select 2 doors. The host knows where the car is and then
opens 1 door that you did not choose and shows you that the car
12/4/12 8:43 PM
Fall 2012
Midterm 1: Version A: Answers with explanations
1. Are most distributions that we consider "normal" perfectly asymptotic?
A) No, many distributions have a very weak violation of asymptoticness because of minimum and maximum value
11/25/13
www.sta tste xt.c om/sta pr ot/Mor a n/hw6- a nswe r s.html
Psychology 100A: Moran
Fall 2013
Homework 6: Answers with explanations
1 . Co n sid er th e h y p o th esis test th at ask s th e q u estio n : Is a co in th at is flip p ed fair? (=.0 5
12/3/12 6:46 PM
Fall 2012
Homework 5: Answers with explanations
1. What effects are likely in this graph?
A) 1 main effect and 1 interaction
B) 2 main effect and 1 interaction
C) 1 main effect and no interaction
D) 1 main effect and 2 interactions
E) None
Psych 100A 11/10/08
Week 7 Homework
All problems are in the Kiess textbook unless specified otherwise
1.) 2.) 3.)
Testing your Knowledge 9.2 Testing your knowledge 9.3 Review Questions Ch. 9
#3 b, c, d #6 and 9
p. 191 p.201-202 p.221-222
#1 a,
12/3/12 6:45 PM
Fall 2012
Homework 4: Answers with explanations
1. Which of the following statements about power are true?
1. Power is the portion of the second distribution above the critical value of the second distribution
2. Power is the portion of th
Psych 100A Section
Week 1
Question 1
Which of the following is a variable?
A. The number of days in the month of
September.
B. The number of players allowed to be on
the field during a football game.
C.The test grades of the students in a
statistics cours
Fall 2012Midterm 1: Version A: Answers with explanations
1. Are most distributions that we consider "normal" perfectly asymptotic?
A) No, many distributions have a very weak violation of asymptoticness because of minimum and maximum values
B) Yes
C) No, m
Introduction to
Statistics
100a
Ainsworth
1
What is Statistics?
Statistics refers to the methods or
procedures used to:
Organize/Summarize data
Analyze data
Draw inferences (extract meaning) from data
W ell what do we mean by the term data?
Data (plural;
Psychology 100A: McAuliffe
Fall 2013
Homework 3: Answers with explanations
1. If the Null hypothesis is false in reality, what are the two possible outcomes of a hypothesis test and what are their probabilities?
A) Reject Null=, Fail to reject null=1-
B)
12/4/12 8:43 PM
Fall 2012
Midterm 2: Version B: Answers with explanations
1. Consider an independent t-test comparing two groups. If group 1 has a variance of 2 with 5 subjects, and group 2 has a variance of 4
with 11 subjects, then what is the best estim
TheBestStatistics.Info
12/2/12 8:18 PM
Introduction
The simplest type of hypothesis test is the Single Sample Z test. This test compares a
sample mean against a distribution of population means to determine if it is likely that the
sample mean came from t
TheBestStatistics.Info
12/2/12 8:10 PM
Why Statistics?
Let's start with some truth most students hate statistics. If you're reading this, you are likely taking a stats course because you have to
(usually as entry into a psychology major), so we won't try
Spring 2013
Midterm 3: Answers with explanations
1. Consider the hypothesis test that examines how study method and study time affect memory: the scores in the groups are not related.
study time
study method
Word master (XR=520)
Chicken head (XR=620)
2 ho
12/5/13
www.the be ststa tistic s.inf o/sta /sta pr ot/z a c hmo/mid3- a nswe r s.html
Psychology 100A: Moran
Fall 2013
Midterm 3: Answers with explanations
1 . If th e n u ll h y p o th esis is rejected in an ANOVA, th en we p erfo rmed a p o st-h o c te
1. Consider the following information for a sample size calculation (normal score distribution with 1 known and of population 1 given):
Power=0.6,1=100,X = 10,Tails=2,=.05.
What is the sample size needed to produce this power?
Cannot determine without mea
Psychology 100A: McAuliffe
Summer C 2013
Final Exam: Answers with explanations
1. Are most distributions that we consider "normal" perfectly asymptotic?
A) Yes, but only when we are dealing with bimodal populations
B) No, many distributions have a very we
12/5/13
www.the be ststa tistic s.inf o/sta /sta pr ot/z a c hmo/mid1- a nswe r s.html
Psychology 100A: Moran
Fall 2013
(Form A: Special code K=0) Midterm 1: Answers with explanations
1 . If X is th e v arian ce o f th e sco re d istrib u tio n , an d N i
12/8/12 12:56 PM
Fall 2012
Homework 6: Answers with explanations
1. If I want to see how the number of cookies eaten each year relates to the amount of milk each year, what kind of analysis should I
perform?
A) Chi-Square
B) One Way ANOVA
C) Two Way ANOVA
4/3/2014
www.the be ststa tistic s.inf o/sta /sta pr ot/100a .f in- a nswe r s.html
Psychology 100A: McAuliffe
Summer C 2013
Final Exam: Answers with explanations
1 . Are mo st d istrib u tio n s th at we co n sid er "n o rmal" p erfectly asy mp to tic?
A
12/3/12 6:46 PM
Fall 2012
Homework 5: Answers with explanations
1. What effects are likely in this graph?
A) 1 main effect and 1 interaction
B) 2 main effect and 1 interaction
C) 1 main effect and no interaction
D) 1 main effect and 2 interactions
E) None
12/3/12 6:44 PM
Fall 2012
Homework 2: Answers with explanations
1. When are sampling mean distributions normal?
A) When the mean distribution is created from a score distribution that is normal.
B) When sample size is less than or equal to 20.
C) Always.
12/4/12 8:44 PM
Fall 2012
Midterm 3: Version B: Answers with explanations
1. Consider the hypothesis test that examines how phone design (flat, flip, fold, or telescope) affects phone usage. Subjects participate in all
conditions. Here are the scores.
FLA
Introduction to Statistics
Online Edition
Primary author and editor:
David M. Lane1
Other authors:
David Scott1, Mikki Hebl1, Rudy Guerra1, Dan Osherson1, and Heidi Zimmer2
1Rice
University; 2University of Houston, Downtown Campus
Section authors specifie
Ainsworth
Summer 2016
Psychology 100a: Psychological Statistics
Lecture 1:00-3:05pm TR in Franz Hall 1260
Discussion Section 1-1:50pm W in Franz Hall 1260
Information:
Email address: andrew.ainsworth@csun.edu
Office: TBA
Office Hours: Office hours are not
EXAM 3 NOTES
11/12
ANOVA
o Tests 3 or more group means by comparing 2 estimates of the population variance
1) Mean Squared Between the Groups/Means (MSB) & 2) Mean Squared
Within the Groups/Means (MSW)
o MS (mean square) = S^2 (varianceaverage of the sum
Psych 100A Fall 2015< Learning Goals for Exam #3 >
1. Analysis of Variance: One-Factor Between-Subjects
Anova used to test whether 3 or more populations are/arent equal to one another
in the population. Extension of 2-sample independent t-test w/ more gro
Psych 100A exam 2
10/22/15
Standard deviation (sigma sub x) is known- z distribution
Point Estimates (using the sample stat to make a guess of whats happening in the
population)
Confidence Intervals (range of values around a sample statistic that have a
PSYCH 100A: Exam I
3 Themes:
o Distribution of scores
o Sampling distribution of mean
o Test statistic
Inductive Statement: Data can inform question
Pygmalion Effect: Teacher expectations have a deep influence on student performance
3 Critical Lessons
o P