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Split into five modules, this is a beginner’s course covering the fundamentals of statistics. Start with mean, mode, and median. Then learn about standard deviation using examples from basketball. Learn about probability with dice. Learn what it means to group data by categorical variables, and how you can transform your data into appropriate graphs and charts.
In the final module, using an open dataset, learn whether good looking professors indeed get better teaching evalutions.
Module 1 – Welcome to Statistics
Question: Which one of the following is not an example of statistics?
Question: Which of the following statements is true? One can estimate the votes for a presidential candidate in a forthcoming election by:
Question: Which of the following is not a type of data visualization? (Pick the most appropriate answer)
Module 2 – Descriptive Statistics
Question: Which of the following is not a cross-sectional data set?
Question: Which of the following is an example of time series data?
Question: Which of the following is an example of multivariate data?
Module 3 – Advanced Descriptive Statistics
Question: What is a suitable way to display the average income earned by men and women in a city?
Question: What is a suitable way to display relationship between two continuous variables?
Question: What’s the best way to display median and outliers?
Module 4 – Visualization
Question: What is the best way to display daily temperature for a city?
Question: What extra step is needed to display two related time series variables that differ greatly in magnitude?
Question: When the sum of two or more categories equals 100, what chart type is ideally suited for displaying data?
Module 5 – “From Start to Finish: Beauty Pays Data”
Question: When using sample data with weights, it is important to compute statistics by:
Question: When multiple observations are reported for each respondent in the data set, to compute statistics for variables about the respondents, one must:
Question: To be able to trace one’s steps, one must:
Question: What is meta data?
Question: Which of the following is not an example of big data?
Question: SPSS is ideally suited to analyze data stored in:
Question: Reproducibility in statistical analysis requires one to use statistical software that supports:
Question: Which of the following is an example of categorical data?
Question: Which of the following is not an example of ordinal data?
Question: Which of the following is an example of interval data?
Question: For a survey of student satisfaction in a course, the population comprises:
Question: A mean is meaningful for the following type of data
Question: Median represents a value in the data set where:
Question: If the standard deviation of a variable is larger than the mean, the variable depicts:
Question: A histogram is a graphical display of how a variable is
Question: The following type of computation is suited for categorical data:
Question: The relationship between two categorical variables can be captured by:
Question: The probability of getting a 2 by rolling TWO six-sided dice (with sides labeled as 1, 2, 3, 4, 5, 6) is
Question: What is the best way to determine the significance of relationship between two categorical variables?
Question: If two continuous variables are positively correlated, their scatter plot will depict:
Question: What is the best way to determine the significance of relationship between two continuous variables?
Question: A good chart should not be missing the following:
Question: What is the best practice to display axes labels?
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