Statistics for Social Sciences Exam Preparation Guide
Course Introduction
Statistics for Social Sciences introduces students to the fundamental principles and techniques of statistical analysis as applied to social science research. The course covers concepts such as descriptive statistics, probability distributions, hypothesis testing, correlation, regression, and analysis of variance with a particular emphasis on interpreting data in contexts like sociology, psychology, economics, and political science. Students will gain practical skills using statistical software and learn how to critically examine social phenomena using quantitative data, preparing them to evaluate research findings and conduct their own analyses in various social science fields.
Recommended Textbook
Introductory Statistics A Problem Solving Approach 2nd Edition by Stephen Kokoska
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3 Chapters
88 Verified Questions
88 Flashcards
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Page 2
Chapter 1: Why Study Statistics
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9 Verified Questions
9 Flashcards
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Sample Questions
Q1) A crucial prevailing theme in this text is:
A) knowing and understanding underlying formulas.
B) correctly translating words into statistics.
C) computation.
D) statistical inference and decision making.
Answer: D
Q2) In a(n)_____ we investigate the effects of certain conditions on individuals or objects in the sample.
A) statistical setting
B) observational study
C) experimental study
D) population
Answer: C
Q3) The _____ in this text is/are a prescriptive technique and visual aid for problem solving.
A) Solution Trail
B) four statistical inference steps
C) vision or strategy
D) technology
Answer: A
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Chapter 2: An Introduction to Statistics
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53 Verified Questions
53 Flashcards
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Sample Questions
Q1) In September of 2000 the United Nations adopted an initiative known as the UN Millennium Declaration.The goal was to take active steps in eliminating poverty,HIV/AIDS,hunger,and other global issues adversely affecting humanity by 2015.The UN consistently tracks each country's progress by recording data on numerous markers that provide an indication of compliance with these "Millennium Development Goals." The data for each country is summarized by year in tabular format.The organization of this raw data into a more user-friendly table format is an example of:
(See: http://www.un.org/millenniumgoals/stats.shtml)
A) inferential statistics.
B) the scientific method.
C) descriptive statistics.
D) population statistics.
Answer: C
Q2) In a statistical inference procedure,the claim is BEST described as a statement:
A) of what experimental process will be used in the inference.
B) that we will only accept as valid with sufficient proof.
C) that we want to be true regardless of the evidence.
D) of what we assume to be true.
Answer: D
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Page 4
Chapter 3: Tables and Graphs for Summarizing Data
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26 Verified Questions
26 Flashcards
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Sample Questions
Q1) A frequency distribution table is BEST suited to summarize which type of data?
A) continuous
B) bivariate
C) multivariate
D) qualitative
Answer: D
Q2) A survey records the average study time spent each week by students at a large university.What type of data are these?
A) continuous
B) discrete
C) qualitative
D) categorical
Answer: A
Q3) A numeric data set is _____ if the set of all possible values is an interval of numbers.
A) continuous
B) discrete
C) qualitative
D) categorical
Answer: A
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