Midterm is on March 21st

Topics will include everything covered from the beginning of the semester to this past Tuesday (03-14)

Populations and samples.

Parameters and statistics.

Variables and their measurement- quantitative/qualitiative, discrete/continuous.

Randomization - causal inference,statistical sampling (with/without replacement).

Observational studies, experiments and bias - sampling error, bias.

Bias - sampling bias, response bias, nonresponse bias.

Bar plots.

Histograms.

Descriptive statistics - mean, median, mode.

Standard deviation.

Range.

Quartiles, quantiles, outliers.

Difference between Bayesian and frequentist probability.

Probability rules - compliments, unions, intersections.

Discrete and continuous distributions.

Distribution shapes - left, right, symmetrical.

The empirical rule.

Properties.

Parameters and how they effect the normal distribution.

The standard normal distribution and its properties - z-values.

What is a sampling distribution?

Standard error of sampling distribution.

Constructing confidence intervals for any given confidence level.

Interpreting confidence intervals.

Conducting significance tests.

Significance tests for one sample.

Significance tests for two independent samples.

Identifying Type I and Type II errors.

Definitions.