PSYCH 100A Practice Final
1. Which of the following is used to predict one set of scores from a different set of scores?
(a) parameter
(b) statistical hypothesis test
(c) correlation
(d) regression analysis
(e) ANOVA
2. Recording a jurors decision as eith
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
Psych 100A 10/8/08 Wk 2 All the assignments are in the Kiess textbook, if not otherwise specified. (1) Testing your knowledge 6.2: 3b&c (2) Testing your knowledge 6.3: 2 (3) Review questions 6: 3g (4) Review questions 6: 5 (5) Define: Sample Mean Dis
12/5/13
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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
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
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
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,
12/4/12 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
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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
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
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
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)
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
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
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;
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 8:10 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
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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
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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
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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
Important Concepts
When to use correlation
Correlation
Scatterplots
Positive vs. negative correlation
Correct interpretation of correlation
Effect size benchmarks for correlations
1
2
Online Resources
Overview
onlinestatbook.com/2/
describing_bivariate_da
When To Use One-Factor ANOVA
Analysis Of Variance (ANOVA)
One-factor ANOVA is appropriate for research
scenarios with a categorical independent variable
and one numeric (continuous) dependent variable
Independent
(categorical)
Dependent
(numeric)
One-fact
Important Concepts
Standard error
Margin Of Error And
Confidence Intervals
Margin of error
Confidence interval
Applying and interpreting the confidence
interval with different types of estimates (e.g,
proportion, mean, mean difference)
Online Resources
ww
Important Concepts
Central tendency
Central Tendency
Mean, median, and mode
Matching central tendency to the level of
measurement
Selecting a measure of central tendency
Impact of outliers on the mean and median
Online Resources
www.khanacademy.org/math/p
Important Concepts
Null and alternate hypotheses
Hypothesis Testing With
Confidence Intervals
Evaluating the null hypothesis with confidence intervals
Single-sample t test, dependent-samples t test,
independent samples t-test
Confidence intervals that sup