CS235 Lecture Notes - Lecture 6: Internal Validity, Squared Deviations From The Mean, External Validity
Document Summary
The science of describing and reasoning from numerical data. Statistical analysis inferential statistics: aims to infer population characteristics from the sample. 2 functions: descriptive statistics: height, weight, birth, marriage, mortgage, number of sick days estimation. Samples: provides us with a picture of what is happening in the larger group. Descriptive characteristics: samples of data collected for these analyses are first examined by evaluating their descriptive characteristics. Once you have completed the process of operationalizing your variables, the data will be distributed along 1 of the 4 the measurement scales. Numbers are assigned to categories in nominal scales purely to identify or name the distinct parts of the variable. Histograms: mathematical relationship between the interval s along the x-axis unlike the bars in nominal/ordinal data scatter plot. Measures of central tendency statistical measures that reduce the dataset to a single score that best characterize the entire. Permit you to estimate what most of the sample looks like with one score sample.
