The shape of distribution for a polygon of the average annual rainfall in Los Angeles over the past 110 years would be normal.
<h3>How to determine the
shape of
distribution?</h3>
In Statistics, the shape of distribution of a data set can be determined by examining the frequency distribution, which explicitly shows the number of score or numerical data associated with each member of a population.
Over the past 110 years, we can logically deduce that the shape of distribution for a polygon of the average annual rainfall in Los Angeles would be normal because very few number of years had extremely low rainfall, high rainfall and many years with average rainfalls.
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Answer:
D) very likely
Step-by-step explanation:
The possible outcomes are 1,2,3,4,5,6
Between means 2,3,4,5
A) certain it is not certain because we could get 1 or 6
B) unlikely we have a 4/6 change of getting our number rolled so it is not unlikely
C) impossible we have a 4/6 change of getting our number rolled so it is not impossible
D) very likely we have a 4/6 change of getting our number rolled so it is better than 50 % we will have one of our numbers rolled
For this case, the first thing we must do is define variables.
We have then:
x = number of dimes
y = number of quarters
We write the system of equations:
0.10x + 0.25y = 4.55
x = y
Solving the system we have:
x = 13
y = 13
The value of the dimes is:
(0.10) * (13) = 1.3 $
Answer:
The value of only the dimes is:
1.3 $