Choose the letter that best describes the concept presented.

1. Nominal Level 2. Ordinal Level 3. Interval Level 4. Negative Kurtosis 5. Positive kurtosis 6. Negative skewness 7. Positive skewness 8. Rule of thumb 9. Ratio Level 10. Inferential statistics 11. Moderating variables 12. Control variables 13. Independent variables 14.Intervening variables

Letters:

a. example of data: chairman, director, supervisor b. third variable to influence the relationship between a dependent and an independent variable. c. Example of data: 120,230, 232 kg d. With a sample we conclude about a population. e. Data as male and female sex f. Order of the measures: mean< median< mode g. They do not interfere with the result of the investigation. h. The height of the curve is greater than the width gives 3 sigma. i. 95% of the data = average +- 2 sigma. j. Affected in some way by other variables. k. Order of measures: mode < median < mean. l. The height of the curve is less than the width at 3 sigma. m. Also known as predictive variables. n. example of data: degrees Celsius.