In: Physics
0 |
0 |
2 |
0 |
5 |
3 |
1 |
12 |
0 |
0 |
0 |
1 |
6 |
0 |
1 |
1 |
2 |
8 |
1 |
3 |
1 |
6 |
2 |
4 |
0 |
16 |
17 |
0 |
8 |
0 |
3 |
0 |
0 |
1 |
2 |
5 |
2 |
0 |
2 |
1 |
5 |
0 |
7 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
3 |
1 |
9 |
4 |
1 |
3 |
0 |
1 |
1 |
1 |
0 |
7 |
1 |
9 |
2 |
0 |
1 |
1 |
1 |
1 |
7 |
2 |
7 |
1 |
2 |
===============================
For the given data
0
0
2
0
5
3
1
12
0
0
0
1
6
0
1
1
2
8
1
3
1
6
2
4
0
16
17
0
8
0
3
0
0
1
2
5
2
0
2
1
5
0
7
0
1
0
0
1
0
0
3
1
9
4
1
3
0
1
1
1
0
7
1
9
2
0
1
1
1
1
7
2
7
1
2
a. The data is obviously discrete, and hence not continuous
also, the data is numeric so it is not qualitative but
Quantitative
hencethe data us Quantitative Discrete
b. Is is this type as it is numeric (hence not qualitative but
quantitative) and discrete ( as it is not continuous)
c. P(x > 2) = n(x > 2)/n
n = 75
counting the numbers we get
0's = 22
1's = 21
2's = 9
3's = 5
4's = 2
5's = 3
6's = 2
7's = 4
8's = 2
9's = 2
12's = 1
16's = 1
17's = 1
total, n = 75
hence
P(x > 2) = (75 - 22 - 21 - 9)/75 = 0.3066666667
d. P(x <= 12) = (75 - 1 - 1)/75 = 0.973
e. since the probability of P(x <=12) is close to 1, it is not
an unusual event
f. Now, since we can see that there are more numbers at 0's and 1's
while others have fewer numbers
hence since the variation of data is high, we can say that the
store does not need more checkout lanes but careful management of
the available lanes