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This chapter focuses on statistical inference and hypothesis testing, covering topics such as hypothesis testing, different sampling schemes, statistical significance, types of data, measures of central tendency and variability, and more. The exam consists of 25 questions worth 50 points and has a time limit of 90 minutes. Results will be available after the exam closes for all participants.
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Review Chapter 1-3
Exam 1 • 25 questions • 50 points • 90 minutes • 1 attempt • Results will be known once the exam closes for everybody
Questions • Hypothesis Testing • Calculation of Type I and II from problem setting • Statistical signficance • Definition and interpretation of Type I and II • Type of hypothesis – Right-tailed, left-tailed, two sided
Sampling • Different sampling schemes • Which is applicable in what situation • Difference between cluster, stratified, and simple random sampling • When to sample
Statistical Inference and Estimation • What is it? • Where is it used? • Difference between statistic and parameter
Types of Data • Quantitative vs. Qualitative • Nominal, ordinal vs ratio, interval • Cross sectional vs time series
Measures • Mean, median, mode, percentile calculations • From raw data • From frequency distribution • Difference between symmetric and skewed distribution • Interpretation of the measures
Variability • Range, IQR, Standard Deviation, Variance • Interpretation • Calculations • Units • Box Plots • Interpretation • Calculation