Below are the data of 57 big cities about air pollution: PARTICLES OF MATTER IN SUSPENSION (Micrograms per m3) 68 63 42 27 30 36 28 32 79 27 22 23 24 25 44 65 43 25 74 51 36 42 28 31 28 25 45 12 57 51 12 32 49 38 42 27 31 50 38 21 16 24 69 47 23 22 43 27 49 28 23 19 46 30 43 49 12 a. Identify the variable and the type of family it belongs to b. Build the Frequency Distribution Table c. Find the mean, median, mode. Interpreter
Below are the data of 57 big cities about air pollution:
PARTICLES OF MATTER IN SUSPENSION (Micrograms per m3)
|
68 |
63 |
42 |
27 |
30 |
36 |
28 |
32 |
79 |
27 |
|
22 |
23 |
24 |
25 |
44 |
65 |
43 |
25 |
74 |
51 |
|
36 |
42 |
28 |
31 |
28 |
25 |
45 |
12 |
57 |
51 |
|
12 |
32 |
49 |
38 |
42 |
27 |
31 |
50 |
38 |
21 |
|
16 |
24 |
69 |
47 |
23 |
22 |
43 |
27 |
49 |
28 |
|
23 |
19 |
46 |
30 |
43 |
49 |
12 |
|
|
|
a. Identify the variable and the type of family it belongs to
b. Build the Frequency Distribution Table
c. Find the
d. Get the standard deviation, the coefficient of variation. How reliable are the data obtained? Calculate asymmetry. e. What percentage of the cities scored more than the third interval?
F. What form does the data take, is it widely dispersed or concentrated?
g. What would the 80th percentile represent?
h. Prepare the Histogram and the complete frequency
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