makonfaknk
19.06.2021 •
Mathematics
Please, help me with this question. It is due soon. Also have a great evening! And remember if you don’t know the answer or don’t understand it and just want points don’t even bother to write a “ANSWER” down because it is irritating and annoying and it lastly wastes my time and has no help towards me
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Ответ:
Step-by-step explanation:
The point that represents the data in the fourth column has the coordinates: (13, 9)
How many points would be shown on a scatter plot of these data?: 5
Ответ:
a) E(X) = 1.15
b)
Step-by-step explanation:
In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".
The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).
And the standard deviation of a random variable X is just the square root of the variance.
Part a
The info given is:
N=2000 represent the sample
Number of people that said they do not drink coffee =500
Number of people that said they drink one cup =800
Number of people that said they drink two cups =600
Number of people that said they drink three cups of coffee =100
Let X represent the random variable who represent the number of cups of coffee consumed each morning
Now we can find the probability for each value of X
P(X=0)=500/2000=1/4, people that said they do not drink coffee
P(X=1)=800/2000=2/5, people that said they drink one cup
P(X=2)=600/2000=3/10, people that said they drink two cups
P(X=-3)=100/2000=1/20. people that said they drink three cups of coffee
So then the random variable is given by this table
X | 0 | 1 | 2 | 3 |
P(X) |1/4 | 2/5 | 3/10 | 1/20 |
In order to calculate the expected value we can use the following formula:
And if we use the values obtained we got:
Part b
In order to find the standard deviation we need to find first the second moment, given by :
And using the formula we got:
Then we can find the variance with the following formula:
And then the standard deviation would be given by: