A quantitative variable The ordinal scale of measurement: Always refers to a sample, To compute the arithmetic mean at l

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A quantitative variable The ordinal scale of measurement: Always refers to a sample, To compute the arithmetic mean at l

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A Quantitative Variable The Ordinal Scale Of Measurement Always Refers To A Sample To Compute The Arithmetic Mean At L 1
A Quantitative Variable The Ordinal Scale Of Measurement Always Refers To A Sample To Compute The Arithmetic Mean At L 1 (2.46 MiB) Viewed 208 times
A quantitative variable The ordinal scale of measurement: Always refers to a sample, To compute the arithmetic mean at least the Is numeric, Usually involves ranking, O Nominal level of measurement is required. O Cannot assume negative values, O Ordinal level of measurement is required. Always has only two possible outcomes, Has a meaningful deto point Interval level of measurement is required. All of the above are correct. O is usually based on counting. O Ratio level of measurement is required Which of the following measures of central tendency is affected by extreme values The mean deviation is In Descriptive statistics our main objective is to: O Based on squared deviations from the mean, O A. Describe the population, Median O Also called the variance, O B. Describe the data we collected, Mean, Based on absolute values O C. Infer something about the population, O Mode, Always reported in squared units 609129863636_758546625336740459_n.jpg O D. Compute an average. Both the mean and the median Add to The ordinal scale of measurement: In a positively skewed distribution * O Usually involves ranking, The mean, median, and mode are equal, O Cannot assume negative values, O The mean is the largest measure of location, Has a meaningful Zero point, The median is the largest measure of location, O is usually based on counting. O The standard deviation is the largesh value. The mean deviation is To determine the class interval O Based on squared deviations from the mean, O Divide the class frequencies in half, Also called the variance, O Divide the class frequency by the number of observations, Based on absolute values, O Find the difference between consecutive lower class limits, Always reported in squared units
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