The following table indicates the number of customers per week who bought a smart watch from a sports accessories store, over a random sample of 70 weeks. Number of Customers 0-<10 10-< 20 20-30 30-40 40-50 Number of Weeks 5 18 33 11 3 n = 70 Q.4.1 Calculate the following. All applicable formulae and methods, and the source of all relevant values used, must be indicated: Q.4.1.1 The mean. Interpret your answer. Q.4.1.2 The median. Interpret your answer. Q.4.1.3 The first quartile. Interpret your answer. Q.4.1.4 The standard deviation. (4) (6) (6) Q.4.1.5 What is the coefficient of variation for this data set? OEM (7) (3) Q.4.1.6 Determine the value of the coefficient of skewness using the (4) approximation formulae. Interpret your answer. Q.4.2 The following data set indicates the number of emergency telephone calls received per day by a local police station over a random sample of twenty days: 13 12 16 26 22 32 28 19 29 21 25 27 24 30 25 20 21 31 29 22 Construct a grouped frequency distribution table for this data set. Your table should include columns with descriptive headings, indicating the frequency count values (f) and the percentage frequencies (% f) for each class. The total for each of the latter columns should also be included. Use the classes 10 -< 15; 15 -< 20; and so on.

Basic Clinical Laboratory Techniques 6E
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Author:ESTRIDGE
Publisher:ESTRIDGE
Chapter1: The Clinical Laboratory
Section1.9: Quality Assessment
Problem 1.1CT
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The following table indicates the number of customers per week who bought a smart watch from
a sports accessories store, over a random sample of 70 weeks.
Number of Customers
0-<10
10-< 20
20-30
30-40
40-50
Number of Weeks
5
18
33
11
3
n = 70
Q.4.1 Calculate the following. All applicable formulae and methods, and the source of all
relevant values used, must be indicated:
Q.4.1.1 The mean. Interpret your answer.
Q.4.1.2 The median. Interpret your answer.
Q.4.1.3 The first quartile. Interpret your answer.
Q.4.1.4 The standard deviation.
(4)
(6)
(6)
Q.4.1.5 What is the coefficient of variation for this data set?
OEM
(7)
(3)
Q.4.1.6
Determine the value of the coefficient of skewness using the
(4)
approximation formulae. Interpret your answer.
Transcribed Image Text:The following table indicates the number of customers per week who bought a smart watch from a sports accessories store, over a random sample of 70 weeks. Number of Customers 0-<10 10-< 20 20-30 30-40 40-50 Number of Weeks 5 18 33 11 3 n = 70 Q.4.1 Calculate the following. All applicable formulae and methods, and the source of all relevant values used, must be indicated: Q.4.1.1 The mean. Interpret your answer. Q.4.1.2 The median. Interpret your answer. Q.4.1.3 The first quartile. Interpret your answer. Q.4.1.4 The standard deviation. (4) (6) (6) Q.4.1.5 What is the coefficient of variation for this data set? OEM (7) (3) Q.4.1.6 Determine the value of the coefficient of skewness using the (4) approximation formulae. Interpret your answer.
Q.4.2
The following data set indicates the number of emergency telephone calls
received per day by a local police station over a random sample of twenty days:
13
12
16
26
22
32
28
19
29
21
25
27
24
30
25
20
21
31
29
22
Construct a grouped frequency distribution table for this data set. Your table
should include columns with descriptive headings, indicating the frequency count
values (f) and the percentage frequencies (% f) for each class. The total for each of
the latter columns should also be included. Use the classes 10 -< 15; 15 -< 20; and
so on.
Transcribed Image Text:Q.4.2 The following data set indicates the number of emergency telephone calls received per day by a local police station over a random sample of twenty days: 13 12 16 26 22 32 28 19 29 21 25 27 24 30 25 20 21 31 29 22 Construct a grouped frequency distribution table for this data set. Your table should include columns with descriptive headings, indicating the frequency count values (f) and the percentage frequencies (% f) for each class. The total for each of the latter columns should also be included. Use the classes 10 -< 15; 15 -< 20; and so on.
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