These Statistical Data in Social Science multiple-choice questions and their answers will help you strengthen your grip on the subject of Statistical Data in Social Science. You can prepare for an upcoming exam or job interview with these Statistical Data in Social Science MCQs.
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A. Quantitative
B. Qualitative
C. Random
D. None of these
A. Data collected from social media platforms
B. Data collected through surveys and questionnaires
C. Data obtained from laboratory experiments
D. Data obtained from observational studies
A. To make predictions and draw conclusions about a population
B. To summarize and describe the main features of a dataset
C. To test hypotheses and determine statistical significance
D. To establish cause-and-effect relationships
A. A constant value that does not change in a dataset
B. A quantity that can take on different values in a dataset
C. A measure of central tendency in a dataset
D. A measure of dispersion in a dataset
A. To summarize and describe the main features of a dataset
B. To make predictions and draw conclusions about a population
C. To test hypotheses and determine statistical significance
D. To establish cause-and-effect relationships
A. The entire population under study
B. A subset of individuals selected from the population
C. The mean of a dataset
D. The standard deviation of a dataset
A. The difference between the sample mean and the population mean
B. The difference between the sample size and the population size
C. The difference between the sample median and the population median
D. The difference between the sample standard deviation and the population standard deviation
A. To establish cause-and-effect relationships
B. To test hypotheses and determine statistical significance
C. To summarize and describe the main features of a dataset
D. To measure the strength and direction of a relationship between two variables
A. The practical importance or relevance of a research finding
B. The probability that a research finding occurred by chance
C. The strength and direction of a relationship between two variables
D. The degree of error in a statistical analysis
A. To summarize and describe the main features of a dataset
B. To make predictions and draw conclusions about a population
C. To test hypotheses and determine statistical significance
D. To measure the strength and direction of a relationship between two variables
A. To collect and analyze data
B. To summarize and describe the main features of a dataset
C. To visualize and present data in graphical form
D. All of the above