Question
In a positively skewed distribution, which measure of variation (mean, median, mode) is most likely to be largest? We are interested in the amount of
In a positively skewed distribution, which measure of variation (mean, median, mode) is most likely to be largest? |
We are interested in the amount of sleep university students get. We take a random sample of six students and inquire how much sleep they got last night. The data are shown in the table. What is the range? i sleep time 1 3 2 8 3 2 4 8 5 4 6 5 |
In the distribution of GRE scores ( = 150, = 10), approximately what is the percentile rank of a GRE score of 165? |
We are interested in the amount of sleep university students get. We take a random sample of six students and inquire how much sleep they got last night. The data are shown in the table. What is the variance? i sleep time 1 3 2 8 3 2 4 8 5 4 6 5 |
The mode, median, and mean of a unimodal distribution were 8, 6, and 4, respectively. This distribution is _____ skewed. |
True/False The sum of the deviations in a distribution is always equal to +1.00. |
The percentage of scores equal to or less than a given score is called a ___. |
True/False The relative area of the normal curve between the mean and one standard deviation above it will change as the values of and change. |
True/False All normal distributions have the same mean and standard deviation. |
True/False The range is easily defined for a normal distribution. |
True/False If a score is the 35th percentile, then 35% of all the scores in the reference group are equal to or less than the given score. |
True/False The mode can be used only with nominal data. |
True/False If data are interval/ratio, only the range can be used as a measure of variation. |
True/False The mean is computed by dividing the total number of entries in a data set by the sum of the entries. |
True/False If the units of the original data are seconds, the units of the standard deviation are also seconds. |
True/False Measures of central tendency are used to specify the width of a distribution. |
True/False Measures of variation describe where the center of a distribution is. |
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