Percentiles work similarly: they divide scores into 100 groups (or percentiles) so that each group contains exactly 1% of all scores (100/100). This means that if you get a score that places you in the 75th percentile for some test, 75% of other people who took that test had lower sco...
Explain the concept of error and uncertainty as it relates to decision making. Why are the answers different when you do percentile error method and standard error method? What is homogeneity of variance? The prediction error when x = 8 is ___. a. 4 b. 5 c. 6 d. 7. If alpha ...
True or False: If it is appropriate to present a distribution of scores in a polygon, then it would also be appropriate to present the scores in a bar graph. True or False: Mean value over an infinite number of observations of the A nominal scale is always dich...
Frequencies – Counts, percentages, valid and cumulative percentages; central tendency, dispersion, distribution and percentile values. Descriptives – Central tendency, dispersion, distribution and Z scores. Descriptive ratio statistics – Coefficient of dispersion, coefficient...
(75 – 25 = 50% of the data). You can also use other percentiles to determine the spread of different proportions. For example, the range between the 97.5th percentile and the 2.5th percentile covers 95% of the data. The broader these ranges, the higher the variability in your dataset...
Frequencies – Counts, percentages, valid and cumulative percentages; central tendency, dispersion, distribution and percentile values. Descriptives – Central tendency, dispersion, distribution and Z scores. Descriptive ratio statistics – Coefficient of dispersion, coeffi...
Why are the answers different when you do percentile error method and standard error method? What is the difference between a point estimate for a parameter and an interval estimate for a parameter? What is the effect of n on the standard error of the mean? (a) What is the range?...
Answer to: With reference to the central limit theorem, explain what the mean standard error is an estimate of, and why it decreases as sample size...
Frequencies – Counts, percentages, valid and cumulative percentages; central tendency, dispersion, distribution and percentile values. Descriptives – Central tendency, dispersion, distribution and Z scores. Descriptive ratio statistics – Coefficient of dispersion, coefficient...
Frequencies – Counts, percentages, valid and cumulative percentages; central tendency, dispersion, distribution and percentile values. Descriptives – Central tendency, dispersion, distribution and Z scores. Descriptive ratio statistics – Coefficient of dispersion, coeff...