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Problems 1 and 2 below refer to the following data for the variable "cognitive ability":

Problems 1 and 2 below refer to the following data for the variable "cognitive ability":
100 90 80 100 90
110 130 100 120 80
110 80 130 120 130
130 100 110 110 100
100 100 120 130 80

Problem 1:
Construct a frequency distribution (non-grouped) that summarizes the data for "cognitive ability":
Cognitive Ability Frequency






Total

Problem 2:
Construct a relative frequency distribution (non-grouped) for the "cognitive ability" data:
Cognitive Ability Relative Frequency






Total

Problems 3, 4, and 5 below refer to the following data for the variable "cognitive ability":
102 107 104 125 125
105 98 101 118 100
100 115 102 119 108
98 110 114 128 100
110 109 121 128 102
103 97 111 100 117
103 105 106 106 107
108 107 107 106 119
110 111 109 108 111
111 109 110 108 110

Problem 3:
Construct a grouped frequency distribution that summarizes the data for "cognitive ability":
You can use the following formula to determine the number of classes: k = 1 + 3.3 log10 N (Sturges, 1926), where "k" = number of classes, "log10" = logarithm of base
10 of a number, and "N" = number of scores. For example, if our number of scores were 80, we would write the following formula in Excel: =1+3.32*(LOG10(80)), which
would return a value of 7.318259, which rounded to a whole value (integer) would be 7. So, in this case we would use 7 classes.

To figure the class size or "width", you can use the following formula: W = (largest value-smallest value)/k, where k = number of classes.
Suppose that in our example above, our highest value were 150 and our lowest value were 70. So, W = 150-70/7 = 80/7 = 11.42 ≈ 11. In this case the class size
would be 11. So, the intervals in this example would be as follows: 69-80; 81-92; 93-104; 105-116; 117-128; 129-140; and 141-152.

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