Matching 1 Point Each A Discrete Observation 1 This Is The Most Commonly Used Measure Of Central Tendency It Is The 1 (58.83 KiB) Viewed 74 times
Matching (1 point each) A. Discrete observation 1. This is the most commonly used measure of central tendency. It is the arithmetic average. 2. This variable is actively manipulated by the experimenter. B. Continuous observation albino C. Nominal 3. This includes all possible observations. It is what researchers are really interested in. D. Ordinal 4. This is the simplest measure of variability. It is determined by subtracting the lowest score from the highest score. E. Interval 5. This branch of statistics is used to organize and describe the characteristics of a data set up to go F. Ratio 6. This takes on only specific values; no other values can exist. Whole numbers are an example.nebom or can be con la 1 ayda ano G. Mean 7. This is the measure of central tendency that defines the midpoint in the set of scores. attorno alla modtaba ni 100s to 8. This level of measurement consists of intervals between consecutive numbers that are assumed to be equal. H. Median 9. These take on a full range of values; an infinite number of potential values existoval. Mode
J. Range 10. This level of measurement is utilized for observations that have a rank or order. K. Variance 11. This is the set of observations/Individuals drawn from the population of interest. It is what researchers usually study. 12. This measure of variability indicates the amount a score varies from the mean. It is the square root of the variance. L. Standard Deviation M. Population 13. This lovel of measurement is used for observations that have categories or names as their assigned value N. Sample 14. This is the value that occurs most frequently in your data set. This is the measure of central tendency used for nominal data. 15. This branch of statistics is utilized to make inferences about a larger group based on a smaller group of data. O. Inferential statistics 16. This level of measurement has observations with equal intervals and a meaningful zero P. Descriptive point. statistics 17. This variable is what is measured by the researcher, Q. Independent variable 18. This measure of variability is the average of squared deviations from the mean. It is R. Dependent expressed in units squared. variable True/False (1 point each) 19. If you have a score of 52 on an 80-point exam, then you definitely scored above the median. True or False True 20. It is possible for more than 50% of the scores in a distribution to have values greater than or False the mean? True 21. The standard deviation for the following set of scores is 10:10, 10, 10, 10, 10 or False
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