explanation for number 1.Measures of position are various techniques that are used to divide the data into equal groups. These values tell us the position of the value in the data set relative to other values. The data must be arranged in ascending order to compute the measures of position
explanation for number 2.In statistics, a quartile is a type of quantile which divides the number of data points into four parts, or quarters, of more-or-less equal size. The data must be ordered from smallest to largest to compute quartiles; as such, quartiles are a form of order statistic
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Answer:
1.B
2.A
Step-by-step explanation:
explanation for number 1.Measures of position are various techniques that are used to divide the data into equal groups. These values tell us the position of the value in the data set relative to other values. The data must be arranged in ascending order to compute the measures of position
explanation for number 2.In statistics, a quartile is a type of quantile which divides the number of data points into four parts, or quarters, of more-or-less equal size. The data must be ordered from smallest to largest to compute quartiles; as such, quartiles are a form of order statistic
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