DESCRIPTIVE STATISTICS
2
) Everyone is familiar with waiting lines or queues. For example, people wait in line at a
supermarket to go through the checkout counter. There are two fa
ctors that determine how
long the queue becomes. One is the speed of service. The other is the number of arrivals at
the checkout counter. The mean number of arrivals is an important summary statistic, but so
is the standard deviation. A consultant working
for the supermarket counted the number of
arrivals (shown below) per hour during a sample of 30 hours.
106
99
109
130
105
132
106
94
71
93
97
115
75
84
95
91
84
94
88
101
103
111
102
72
98
89
101
90
107
98
a)
Compute the mean and standard deviation of the number of arrivals.
b)
Assuming data is normally distributed (i.e. histogram is bell shaped) and given
the mean and standard deviation calculated in part (a),
usually
what range of
number of arrivals do you expe
ct for this supermarket.
(Remember “usually”
means 95% of the time).
DESCRIPTIVE STATISTICS 2 ) Everyone is familiar with waiting lines or queues. For example, people wait...
weight of 30 people: 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110 screenshot of matlab is needed, please and thank you Create your own data that represents the weight of 30 people.Test the null hypothesis that the data comes from a normal distribution with mean mu = 70 and standard deviation sigma = 8. Hint: use the “ztest"...
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