| August 30, 2017

A large department store records the number of returns per day in women’s dresses for reasons such as wrong size, didn’t like it, color, and so on. The manager of the women’s dresses department rexalls from her statistics class in college that the Poisson distribution might describe such events. A random sample of 150 days is taken. The number of returns per day in the sample as well as the observed frequencies are show below.
Numbers of returns per day Observed frequency
0 21
1 37
2 44
3 30
4 14
>4 4

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