Statistics: Learning Outcomes

STATISTICS: LEARNING OUTCOMES

1. Construct and interpret rank-ordered scores, simple frequency distributions, histograms, frequency polygons, and cumulative percentage curves.

2. Given a set of test data, compute the following: mean, median, mode, range, variance, standard deviation, percentiles, percentile ranks, z scores, T scores.

3. Change a given score from one scale (given mean and standard deviation) to another scale.

4. Describe and draw a normal curve and label its areas; describe and draw a skewed curve, and identify a learning and teaching situation likely to produce skewed results.

5. Interpret and compare common standardized scores (e.g., z, T, stanine, CEEB) with respect to mean, standard deviation, and percentile equivalents.

6. From paired data, decide if a correlation coefficient is positive or negative and estimate if it is low, moderate, or high.