Q2) A university book store operates 5 days per week. The number of books sold over a three-week period is given below. Mon Tue Wed Thu Fri Week 1 62 31 54 20 11 Week 2 65 33 57 21 12 Week 3 67 29 55 21 14 a) Find the moving averages and plot the time series and trend line. b) Using the daily seasonal variations, predict the number of books sold in week 4.
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
![Q2) A university book store operates 5 days per week. The number of books sold over a
three-week period is given below.
Mon
Tue
Wed
Thu
Fri
Week 1
62
31
54
20
11
Week 2
65
33
57
21
12
Week 3
67
29
55
21
14
a) Find the moving averages and plot the time series and trend line.
b) Using the daily seasonal variations, predict the number of books sold in week 4.
ηΣΧΥ-(ΣΧ) (ΣΥ)
m =
ηΣΧ(ΣΧ)
ηΣΧΥ- (ΣΧ ) (ΣΥ)
ΣΥ-m ΣΧ
C =
%3=
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