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Applied Statistics introduces students to the fundamental concepts and techniques used to collect, analyze, interpret, and present data in real-world contexts. The course covers probability distributions, sampling methods, hypothesis testing, regression analysis, and statistical inference, with an emphasis on practical problem-solving across various fields such as business, health sciences, and engineering. Students will learn to utilize statistical software and apply quantitative reasoning to support evidence-based decision-making and research.
Recommended Textbook
Answering Questions With Statistics 1st Edition by Robert F. Szafran
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43 Verified Questions
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Source URL: https://quizplus.com/quiz/80169
Q1) In the statement "Watching violence on TV causes an increase in a person's tolerance for aggression," the independent variable is
A) parental attitude toward TV
B) person's age
C) tolerance of aggression
D) watching violence on TV
Answer: D
Q2) What are the three levels of measurement used in the text?
Answer: nominal, ordinal, and interval/ratio
Q3) A critic charges that IQ tests don't really measure what they claim to measure. They say they measure natural intelligence but they really measure knowledge of the dominant culture of a society. This critic is claiming IQ tests lack
A) authenticity
B) parsimony
C) reliability
D) validity
Answer: D
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Q1) Most SPSS data analysis sessions consist of five parts. What are those five parts?
Answer: starting SPSS, opening a data set, doing some statistical analysis, printing all or some of the results of the analysis, and exiting SPSS
Q2) In SPSS, the interval/ratio level of measurement is referred to as A) cardinal B) numeric C) real D) scale
Answer: D
Q3) After having generated quite a bit of SPSS output you want to go back and look at the output from the first procedure you ran. You could use the scroll bar on the right edge of the output window but what is another way to quickly get to that output?
Answer: click on the first procedure in the outline pane to the left of the output
Q4) What characters can SPSS variable names begin with?
Answer: SPSS variable names must begin with a letter or @. Under certain circumstances, names may also begin with a # or $.
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Sample Questions
Q1) What is the difference between univariate and multivariate statistics?
Answer: Univariate statistics summarize the values on single variables whereas multivariate statistics summarize relationships between two or more variables
Q2) What is the lowest level of measurement for which you can legitimately use a bar chart?
A) nominal B) ordinal C) interval/ratio
Answer: A
Q3) What kinds of questions are answered with frequencies from a frequency table?
Answer: questions about the actual number of cases in each category of the variable; also questions about the actual number of cases with missing data
Q4) Answer the question that follows this SPSS output:
The first bin in this histogram represents persons with _____ children up to but not including _____ children.
Answer: zero two
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Sample Questions
Q1) You want to see the mean, standard deviation, minimum, and maximum for a variable. Which SPSS procedure would be most appropriate?
A) Display Data File Information
B) Edit Options
C) Frequencies
D) Select Cases
Q2) A researcher takes a sample of three students from a playground and asks each of them what grade they are in. The students' answers are 3, 3, and 3. What is the variance for this data?
variance: __________
Q3) What is the lowest level of measurement for which it is permissible to calculate a variance?
A) nominal
B) ordinal
C) interval/ratio
Q4) What univariate statistics are usually used to describe the distribution of cases on an interval/ratio variable that is not badly skewed?
Q5) A variable has a standard deviation of 4. What is the value of its variance?
variance: __________
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Sample Questions
Q1) Write out a Select If condition that would limit the analysis to persons under the age of 30 who have been fired from their jobs 3 or more times. (Variables: AGE, TIMESFIRED)
Q2) To collapse a variable with nine categories into a variable with just three categories while not losing any valid cases, you would use which SPSS procedure?
A) Compute
B) Recode
C) Select Cases
D) Split File
Q3) The variable college grade point average was recorded for a sample of graduating college students. An analyst calculates the mean and standard deviation for the variable and transforms each person's score into a z-score. The first case has a z-score of 3. What does this z-score tell us about the first person's GPA?
Q4) A variable has a mean of 25 and a standard deviation of 5. Calculate the Z-scores for the first two cases and the raw scores for the last two cases.
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Sample Questions
Q1) You want to see if average life expectancy differs by occupation and within occupations by race. Race should be the _____ when setting up the Means procedure.
A) dependent variable
B) 1<sup>st</sup> layer independent variable
C) 2<sup>nd</sup> layer independent variable
D) 3<sup>rd</sup> layer independent variable
Q2) Based on the following output, which subgroup had the greatest variability in HOURS worked?
A) never-married males
B) currently-married males
C) currently-married females
D) divorced, separated, and widowed females
Q3) If there is a main effect of gender on income, that means
A) gender has no relationship to income
B) gender groups differ on average income
C) income causes gender
D) when gender is controlled, income differences still exist
Q4) What is an interaction effect?
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Sample Questions
Q1) How can you use column percents to identify the median?
Q2) In a clustered bar chart, why should the cases be clustered by categories of the independent variable?
Q3) Which is the layering variable in the following crosstab??
A) POSTLIFE
B) RACE
C) SEX
D) There is no layering variable.
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Q4) You want to compare groups on a nominal variable (for example, preferred Presidential candidate of students at different colleges). Which SPSS procedure should you run?
A) Crosstabs
B) Display Data File Information
C) Frequencies
D) Means
Q5) What kinds of questions can you answer using a crosstab table?
Q6) How can layering reveal if the relationship between the original two variables was spurious or not?
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Sample Questions
Q1) The height of a child and the age of a child are
A) inversely related
B) negatively related
C) positively related
Q2) Which of the following values for a statistic is clearly incorrect because it is outside the statistic's range?
A) Cramer's V = .00
B) gamma = .40
C) Kendall's tau-b = .80
D) lambda = 1.20
Q3) Which measures of association indicate the strength of a relationship?
A) nominal, ordinal, and interval/ratio measures of association
B) only ordinal and interval/ratio measures of association
C) only interval/ratio measures of association
D) no measures of association indicate the strength of a relationship
Q4) Which of the following gamma values indicates the strongest relationship?
A) .50
B) .00
C) .10
D) .85
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Q1) Weight loss is regressed on initial weight. On the basis of the resulting regression equation, a person's predicted weight loss is 15 pounds. They actually lost 17 pounds. What is the regression residual?
A) 2
B) 2
C) 17
D) 32
Q2) How does a scatterplot indicate the direction of the relationship between two variables?
Q3) What does a positive regression residual mean?
A) The two variables have a positive correlation.
B) That a case's actual value on the dependent variable is exactly what was predicted by the regression equation.
C) That a case's actual value on the dependent variable is greater than what was predicted by the regression equation.
D) The slope of the best-fitting straight line is positive.
Q4) What information does a regression residual provide?
Q5) What information does a multiple correlation coefficient provide?
Q6) Which number line represents the independent variable in a scatterplot?
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Sample Questions
Q1) If you want to see the net effect of gender on academic achievement after controlling for age and parents' social class, what is an appropriate statistical technique to use?
A) Bivariate Correlation
B) Compute
C) Frequencies
D) Linear Regression
Q2) In multiple regression, the betas are
A) coefficients of alienation
B) coefficients of determination
C) standardized regression coefficients
D) unstandardized regression coefficients
Q3) Which independent variable has the strongest net effect on GPA?
A) SAT
B) HSRank
C) BIRTH
Q4) What is multicollinearity and why is it a problem?
Q5) What is a net effect?
Q6) What information does a standardized coefficient provide?
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Q1) The length of time presidents of universities stay in office is normally distributed with a mean of 5 years and a standard deviation of 2 years. What percent of university presidents stay in office
A) More than 9 years? __________
B) Less than 3 years? __________
C) Between 3 and 7 years? __________
D) Is this problem about a frequency distribution or a sampling distribution? (frequency / sampling)
E) What is the median number of years university presidents stay in office?
Q2) Which of the following statements is correct?
A) As the standard error decreases, the margin of error increases.
B) Where the center of a sampling distribution occurs on the number line depends on the size of the samples being taken.
C) Both "a" and "b" are correct.
D) None of the above is correct.
Q3) What are the properties of a normal distribution?
Q4) Why do researchers prefer sampling distributions with small standard errors?
Q5) What are confidence intervals, confidence levels, and margins of error?
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Q1) Which of the following is the smallest probability?
A) .001
B) .100
C) .041
D) .950
Q2) The research hypothesis is "average length of employment is less than 2 years."
What is the correct companion null hypothesis?
A) Average length of employment is 2 years
B) Average length of employment is more than 2 years
C) Average length of employment is 2 years or less.
D) Average length of employment is 2 years or more.
Q3) You have a 95% level of confidence that, in the population, the actual average number of siblings is between _____ and _____.
A) .34 1.13
B) .68 2.26
C) 1.077 1.867
D) 2.34 3.13
Q4) What are the four steps in hypothesis testing?
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Q1) For an independent-samples t test, the test variable (the variable whose values will be averaged for each group) can be what level of measurement?
A) only interval/ratio
B) either interval/ratio or ordinal
C) interval/ratio, ordinal, or nominal
Q2) What kinds of questions can you answer using an independent-samples t test?
Q3) Independent-samples t tests compare means for how many variables for how many groups of cases?
Q4) A researcher does a paired-samples t test with 39 cases. How many degrees of freedom does the t test have? __________
Q5) An author reports the following information about a one-tailed independent-samples t test: t = 1.71, df = 17, p = .111. The sample means were consistent with the research hypothesis. Which of the following is true?
A) The two-tailed significance level must have been .222.
B) The null hypothesis was rejected
C) The two groups were significantly different.
D) All of the above are true.
Q6) When does a researcher risk making a Type I error?
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Q1) Your research hypothesis is "In the population, the average number of work days per year lost due to injury is 3." What type of hypothesis test should be used?
A) one-sample t test
B) paired-samples t test
C) independent-samples t test
D) one-way ANOVA
E) two-way ANOVA
Q2) Your research hypothesis is "In the population, first stays in the U.S. by unauthorized immigrants are on average longer than second stays in the U.S. by these same immigrants." What type of hypothesis test should be used?
A) one-sample t test
B) paired-samples t test
C) independent-samples t test
D) one-way ANOVA
E) two-way ANOVA
Q3) What kinds of questions can you answer using a two-way analysis of variance?
Q4) What are the three rounds for analyzing a two-way ANOVA?
Q5) What is an interaction effect?
Q6) What kinds of questions can you answer using a one-way analysis of variance?
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Q1) What can you do if the expected cell frequencies are too small for a chi-square hypothesis test?
Q2) A statistical guideline that is widely accepted is not to use chi-square if even one cell has an expected count of _____ or if more than _____ of the cells have expected counts of less than 5.
Q3) Your research hypothesis is "In the population, there is a relationship between the driver's sex and the type of vehicle being driven." What type of hypothesis test should be used?
A) paired-samples t test
B) independent samples t test
C) one-way ANOVA
D) two-way ANOVA
E) chi-square
Q4) Variables included in a chi-square hypothesis test can have which levels of measurement?
Q5) What expected counts would indicate that the value of chi-square may be unstable because the cases are too thinly spread across the crosstab?
Q6) What kinds of questions can you answer using a chi-square hypothesis test?
Q7) What should you do next if chi-square is significant?
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Q1) Which SPSS procedure would you use to answer the question "Is there a significant relationship between nationality and religious affiliation?"
A) Bivariate Correlation
B) Chi-square
C) Linear Regression
D) One-way ANOVA
Q2) Which SPSS procedure would you use to answer the question "Do the countries of North America, South America, Europe, and Oceania significantly differ in average national life expectancy?"
A) Bivariate Correlation
B) Independent-Sample T Test
C) One-way ANOVA
D) Two-way ANOVA
Q3) What kinds of questions can you answer using tests of significance for regression coefficients?
Q4) What kinds of questions can you answer using tests of significance for measures of association?
Q5) Are weak associations between variables always nonsignificant? Are strong associations always significant?
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