Statistical Literacy Exam Answer Key - 1368 Verified Questions

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Statistical Literacy

Exam Answer Key

Course Introduction

Statistical Literacy equips students with the foundational skills to interpret, analyze, and critically evaluate statistical information encountered in everyday life and academic settings. The course emphasizes understanding basic statistical concepts, including data collection, graphical representation, measures of central tendency and variability, probability, and the interpretation of statistical results. Through practical examples and real-world applications, students learn to identify misleading statistics, assess data quality, and make informed decisions based on quantitative evidence, fostering responsible and effective use of statistical information in diverse contexts.

Recommended Textbook Statistics for People Who Think They Hate Statistics 6th Edition by Neil J. Salkind

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22 Chapters

1368 Verified Questions

1368 Flashcards

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Chapter 1: Statistics or Sadistics Its up to You

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50 Flashcards

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Sample Questions

Q1) When did the first collection of a set of data pertaining to populations occur?

A)15th century

B)17th century

C)19th century

D)21st century

Answer: B

Q2) A population can be considered all of the occurrences with certain characteristics.

A)True

B)False

Answer: True

Q3) In what century was the simplest test for examining differences between two groups first advanced?

A)17th century

B)18th century

C)19th century

D)20th century

Answer: D

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Chapter 2: Means to an End: Computing and Understanding Averages

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Sample Questions

Q1) What is meant by the term outlier?

Answer: An outlier refers to any extreme scores in a data set.

Q2) What is the most common average computed?

A)mode

B)mean

C)variance

D)median

Answer: B

Q3) What is the formula for computing the mean?

A) X + n

B) Y / X

C) X / n

D) N + y

Answer: C

Q4) The ordinal level of measurement stands for order.

A)True

B)False

Answer: True

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Chapter 3: Vive La Différence: Understanding Variability

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Sample Questions

Q1) The highest score minus the lowest score is equal to the _______.

A)standard deviation

B)inclusive range

C)exclusive range

D)variance

Answer: C

Q2) Unbiased estimates are considered to be less conservative estimates.

A)True

B)False

Answer: False

Q3) The exclusive range is more commonly used in research articles as compared with the inclusive range.

A)True

B)False

Answer: True

Q4) How does a biased standard deviation differ from an unbiased standard deviation?

Answer: The biased standard deviation uses n in the denominator of its formula while the unbiased standard deviation uses n 1 in the denominator of its formula.The unbiased standard deviation is used so as to not underestimate the population standard deviation.

Page 5

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Sample Questions

Q1) What is a frequency distribution?

Q2) The largest class interval goes here on a frequency distribution:

A)the top

B)the bottom

C)in the middle

D)either at the top or bottom

Q3) A graph should communicate only one idea.

A)True

B)False

Q4) Which of the following is NOT an example of a chart or graph?

A)cumulative frequency distribution

B)frequency polygon

C)variation

D)ogive

Q5) What is a histogram?

Q6) What is another name for a cumulative frequency polygon?

A)ogive

B)cumulative polygon

C)olive

D)cumulative tally

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Chapter 5: Ice Cream and Crime: Computing Correlation

Coefficients

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Sample Questions

Q1) Which of the following correlations would be interpreted as a very strong relationship?

A).80

B).70

C).60

D).50

Q2) The coefficient of determination is the percentage of variance in one variable that

A)is accounted for by the variance in the other variable

B)matters only when the other variable is constant

C)equals the square root of the Pearson product-moment correlation coefficient

D)can be determined by taking the square root of the phi coefficient

Q3) This is a correlation that is best expressed as a straight line.

A)line correlation

B)direct correlation

C)strong correlation

D)linear correlation

Q4) What is the purpose of a scatterplot?

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Q5) A correlation coefficient comparing exercise and body mass is -.67.What does this say about the relationship between exercise and weight?

Chapter 6: Just the Truth: An Introduction to Understanding

Reliability and Validity

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Sample Questions

Q1) If the measures associated with a test are said to be consistent, you might conclude that the measure is _______.

A)standard

B)valid

C)reliable

D)concurrent

Q2) What is the difference between the true score and the observed score?

A)critical score

B)error score

C)expected score

D)reliable score

Q3) Interrater reliability is an example of which of the following?

A)measure of consistency

B)measure of stability

C)measure of agreement

D)measure of equivalence

Q4) Observed scores are commonly exactly the same as true scores in the social and behavioral sciences.

A)True

B)False

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Chapter 7: Hypotheticals and You: Testing Your Questions

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Sample Questions

Q1) If you hypothesize that there will be a difference between test scores from Classroom

A and Classroom B, but you do not hypothesize the direction, you have _______.

A)a directional research hypothesis

B)a nondirectional research hypothesis

C)a null hypothesis

D)either a null or research hypothesis

Q2) The null hypothesis refers to the _______, whereas the research hypothesis refers to the _______.

A)sample; population

B)direction; sample

C)population; direction

D)population; sample

Q3) A sample is best defined as ______.

A)the first 20% of the population

B)the last 20% of the population

C)a smaller group selected from a given population

D)a smaller group selected from the general populace

Q4) According to the book, what are five characteristics of a well-written hypothesis?

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Chapter 8: Are Your Curves Normal Probability and Why It

Counts

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76 Flashcards

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Sample Questions

Q1) What is the term associated with the lack of symmetry in a distribution?

A)ogive

B)skewness

C)kurtosis

D)variability

Q2) What is the basis for the normal curve?

A)mean

B)asymptotic

C)probability

D)symmetry

Q3) If a distribution has a mean of 1,000 and a standard deviation of 100, how many standard deviations is 600 from the mean?

A) 2

B) 4

C)4

D)2

Q4) Events that occur in the extremes of the normal curve have a very small probability of occurring.

A)True

B)False

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Chapter 9: Significantly Significant: What It Means for You and Me

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Sample Questions

Q1) The statistical value that is compared with the critical value is called the ______.

A)obtained value

B)test statistic

C)critical value

D)comparison value

Q2) Why does the researcher never really know the true nature of the null hypothesis?

Q3) If the obtained value is greater than the critical value, what should you do?

A)reject the null hypothesis

B)accept the null hypothesis

C)set a high p value

D)increase your sample

Q4) The test statistic value calculated by the statistical procedure selected is known as the _______.

A)critical value

B)significance level

C)obtained value

D)p value

Q5) Define power (with regard to hypothesis testing).

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Chapter 10: Only the Lonely: The One Sample Z-Test

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Sample Questions

Q1) SPSS does not offer a ______.

A)one-sample t-test

B)one-sample Z-test

C)one-sample F-test

D)one-sample Chi-square test

Q2) The level of risk-or level of significance-is determined by the _______.

A)participants

B)researchers

C)study sponsors

D)results

Q3) In t-test, if the resultant t value is -2.72 and p<.05, what is the interpretation?

A)There is a statistical significance in the test.

B)There is no statistical significance in the test.

C)unknown

D)not sure

Q4) What is an example in which a one-sample Z test would be appropriate?

Q5) Effect size is a measure of how different two groups are from one another.

A)True

B)False

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Chapter 11: Tea for Two: Tests Between the Means of Different Groups

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Sample Questions

Q1) In the effect size formula, what does X bar stand for?

A)the mean for Group 1

B)effect size

C)standard deviation

D)variance

Q2) What are you assuming when you use the simple formula for effect size?

Q3) When computing effect size, the sample size is ______.

A)used in the denominator

B)not taken into account

C)used in the numerator

D)sometimes taken into account

Q4) The test statistic calculated by the statistical procedure selected is known as the _______.

A)critical value

B)significance level

C)obtained value

D)p value

Q5) Under what circumstances would a researcher reject the null hypothesis?

Q6) If you have a sample size of 500, should you interpret the statistical significance or the effect size? Page 13

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Chapter 12: Tea for Two Again: Tests Between the Means of Related Groups

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Sample Questions

Q1) If the group has 30 individuals, what are the degrees of freedom for a dependent-samples t-test?

A)30 1

B)29 1

C)28 1

D)27 1

Q2) Dr.Moo would like to find out if there was a significant difference between her patients' anxiety scores before and after they completed a yoga program.What is the appropriate test to run?

A)independent-samples t-test

B)factorial ANOVA

C)dependent-samples t-test

D)Pearson correlation

Q3) When using a t-test for dependent means, what is true of the sample?

A)There are two different groups.

B)They are the same group.

C)There are more than 50.

D)They are observed once.

Q4) What is the difference between a t-test for independent samples and a t-test for dependent samples?

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Chapter 13: Two Groups Too Many Try Analysis of Variance

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Sample Questions

Q1) In a 4 × 3 factorial design, there are how many levels of the second grouping factor?

A)3

B)4

C)7

D)12

Q2) There are several types of ANOVA.

A)True

B)False

Q3) What is the next step after choosing the level of significance in the computation of the F statistic?

A)setting the level of risk

B)selecting the appropriate test

C)computing the obtained value

D)stating research hypotheses

Q4) When interpreting F , = 8.80, p < .05, what is the within-groups df?

A)30

B)27

C)3

D)2

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Chapter 14: Two Too Many Factors: Factorial Analysis of

Variancea Brief Introduction

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Sample Questions

Q1) When plotted on a graph, if the lines representing the effects of two variables are parallel, you have _______.

A)an interaction effect

B)no interaction effect

C)possibly an interaction effect

D)an effect that cannot be determined

Q2) If your analysis notes that participants in a weight loss study differ in amount of weight lost based on the type of weight loss program used, what type of effect is this called?

A)interaction effect

B)factor effect

C)level effect

D)main effect

Q3) When you are interested in finding out if students' achievement level changes over time as result of a reading intervention, what type of ANOVA would you use?

A)repeated measures

B)between-groups design

C)mixed design

D)one-way ANOVA

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Chapter 15: Cousins or Just Good Friends Testing

Relationships Using Correlation Coefficient

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Sample Questions

Q1) With regard to correlations, tests can be either directional or nondirectional.

A)True

B)False

Q2) If you do not predict that a relationship between two variables will be either positive or negative, what type of test should you use?

A)two tailed

B)ANOVA

C)one tailed

D)Cohen's d

Q3) A _______ correlation is also known as a _______ correlation.

A)negative; direct

B)negative; nondirectional

C)positive; direct

D)positive; nondirectional

Q4) A significant correlation does not indicate causality.

A)True

B)False

Q5) What are the eight steps involved when examining a research question?

Page 18

Q6) Write an example of a research hypothesis for a one-tailed t-test for the correlation coefficient.

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Chapter 16: Predicting Wholl Win the Super Bowl: Using

Linear Regression

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79 Verified Questions

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Sample Questions

Q1) Which of the following symbols is associated with the slope in the regression equation?

A)X

B) \[Y ^ { \prime }\]

C)a

D)b

Q2) Which of the following is the point at which the regression line crosses the y-axis?

A)intercept

B)predicted point

C)criterion point

D)slope

Q3) What is another name for a regression line?

A)line of best fit

B)scatter plot line

C)line graph

D)line of the estimate

Q4) What important guideline should you keep in mind when choosing independent variables for multiple regression?

Q5) Why is the regression line called the line of best fit?

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Chapter 17: What to Do When Youre Not Normal:

CHI-Square and Some Other Nonparametric Tests

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Sample Questions

Q1) Write a sample research question where the Fisher's exact test would be the most appropriate statistical technique to use.

Q2) When conducting a chi-square test, the categories of your variable(s) must be _______.

A)mutually exclusive

B)dependent

C)less than five in total

D)more than three in total

Q3) Which of the following is the correct formula for calculating the degrees of freedom for a one-sample chi-square?

A)n 1

B)n 3

C)r 1

D)r 3

Q4) Nonparametric statistics are known as _______.

A)non-normal statistics

B)distribution-free statistics

C)skewed-distribution statistics

D)parametric statistics

Chapter 18: Some Other Important Statistical Procedures

You Should Know About

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Sample Questions

Q1) Give an example of a research situation where MANOVA would be the most appropriate statistical technique.

Q2) Analysis of variance is used when you want to control for the effect of one or more continuous variables.

A)True

B)False

Q3) Give an example of a research situation where repeated-measures ANOVA would be the most appropriate statistical technique.

Q4) The predicting variables in the regression analysis are ______.

A)dependent variables

B)independent variables

C)mediating variables

D)intervening variables

Q5) In what type of ANOVA is there one factor on which participants are tested more than once?

A)analysis of covariance

B)repeated measures

C)multivariate analysis

D)path analysis

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Chapter 19: Data Mining: An Introduction to Getting the

Most Out of Your Big Data

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Sample Questions

Q1) What is SPSS modeler?

Q2) Crosstabs create a table by summarizing this type of data.

A)interval

B)ratio

C)categorical

D)real

Q3) In order to create something on pivot tables, we need some type of input on which to operate.

A)True

B)False

Q4) _____________ is a very large collection of either cases or variables, but usually both.

A)Data set

B)Data mining

C)Big data

D)Small data

Q5) As a general rule, we need be as granular as possible in generating pivot tables.

A)True

B)False

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Chapter 20: A Statistical Software Sampler

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9 Flashcards

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Sample Questions

Q1) According to the text, what is one of the most important things to remember when buying a statistics software package?

A)buy direct from the manufacturer

B)try before you buy

C)always buy shareware

D)share software packages with friends

Q2) Minitab contains utilities that include ReportPad, which is a report generator.

A)True

B)False

Q3) Self-prompting dialog boxes and the ability to use macros to automate tasks are features of _______.

A)SPSS

B)STATISTICA

C)Minitab

D)R

Q4) Which of the following statistical software packages is free?

A)PSPP

B)Minitab

C)SPSS

D)JMP

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Chapter 21: The Ten or More Best and Most Fun Internet

Sites for Statistics Stuff

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Sample Questions

Q1) Which online source offers lots of stats stuff?

A)Google

B)Yahoo

C)YouTube

D)Facebook

Q2) Which university's research guide's site has hundreds of resource links?

A)University of Florida

B)University of Newcastle, Australia

C)University of Michigan

D)Wikipedia

Q3) You can find data sets through any of the following EXCEPT ______.

A)Statistical Reference Datasets

B)Numbers and More

C)U.S.Census Bureau

D)The Data and Story Library

Q4) The URL of a website will work consistently from day to day.

A)True

B)False

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Chapter 22: The Ten Commandments of Data Collection

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Sample Questions

Q1) Never ______ the original data, such as the test booklets, interview notes, and so forth.

A)use

B)overuse

C)discard

D)destroy

Q2) You should personally train people to collect or transfer your data if you want to be confident that they understand the data collection process as well as you do.

A)True

B)False

Q3) Practicing with _______ data can help you make sure that it is easy to go from your original scoring sheets to the data collection form.

A)high-scoring

B)any

C)pilot

D)lost

Q4) Always make a duplicate copy of the data file.

A)True

B)False

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