Assignment:
A St. Louis–based shipping company recently selected a random sample of 49 airplane weight slips for crates shipped from an automobile parts supplier. The weights, measured in pounds, for the sampled crates are as follows:
|
89
|
83
|
97
|
101
|
86
|
89
|
86
|
|
91
|
84
|
89
|
87
|
93
|
86
|
90
|
|
86
|
92
|
92
|
88
|
88
|
92
|
86
|
|
93
|
80
|
93
|
77
|
98
|
94
|
95
|
|
94
|
88
|
95
|
87
|
99
|
98
|
90
|
|
91
|
87
|
89
|
89
|
96
|
88
|
94
|
|
95
|
79
|
94
|
86
|
92
|
94
|
85
|
a. Create a data array of the weights.
b. Develop a frequency distribution using five classes having equal widths.
c. Develop a histogram from the frequency distribution you created in part b.
d. Develop a relative frequency and a cumulative relative frequency distribution for the weights using the same five classes created in part b. What percent of the sampled crates have weights greater than 96 pounds?
Your answer must be typed, double-spaced, Times New Roman font (size 12), one-inch margins on all sides, APA format and also include references.