Example 3: Alexis is selling girl scout cookies. She has kept track of the number of boxes of cookies that her customers have purchased over the last 2 years. She wants to use this data to help predict how many boxes of cookies a new customer might purchase. The table below summarizes Alexis' data, with the number of boxes that a customer might purchase along with the corresponding probability that they will purchase that number of boxes based on her previous sales. Use this information to answer the following questions. Outcomes: 1 4 6. 7 8 X xi Probability: P(X = x1) 0.21 0.16 0.32 0.11 0.08 0.05 0.04 0.02 0.01 a) Construct a probability histogram of the data in the table above and comment on the shape.
Example 3: Alexis is selling girl scout cookies. She has kept track of the number of boxes of cookies that her customers have purchased over the last 2 years. She wants to use this data to help predict how many boxes of cookies a new customer might purchase. The table below summarizes Alexis' data, with the number of boxes that a customer might purchase along with the corresponding probability that they will purchase that number of boxes based on her previous sales. Use this information to answer the following questions. Outcomes: 1 4 6. 7 8 X xi Probability: P(X = x1) 0.21 0.16 0.32 0.11 0.08 0.05 0.04 0.02 0.01 a) Construct a probability histogram of the data in the table above and comment on the shape.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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Transcribed Image Text:Example 3: Alexis is selling girl scout cookies. She has kept track of the number of boxes of cookies
that her customers have purchased over the last 2 years. She wants to use this data to help
predict how many boxes of cookies a new customer might purchase. The table below summarizes
Alexis' data, with the number of boxes that a customer might purchase along with the
corresponding probability that they will purchase that number of boxes based on her previous
sales. Use this information to answer the following questions.
Outcomes:
1
4
6.
7
8
X xi
Probability:
P(X = x1)
0.21
0.16
0.32
0.11
0.08
0.05
0.04
0.02
0.01
a) Construct a probability histogram of the data in the table above and comment on the
shape.
Expert Solution
Step 1
a)
b)what is the probability that a randomly selected customer will purchase 3 boxes of cookies
from table x =3
p(x) = 0.11
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