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Gelneren [198K]
3 years ago
13

Suppose you have four extra tickets to a football game and you are trying to determine which of your five closest friends to tak

e with you: Mark, Samuel, Elizabeth, James, and Mary. You decided to randomly choose four of them to attend the game with you. What is the probability that you will choose at least one friend whose name starts with the letter M?
a) 0
b) 2/5
c) 4/5
d) 1
e) 2
Mathematics
1 answer:
schepotkina [342]3 years ago
5 0

Answer:

b

Step-by-step explanation:

There are two names that start with the letter M.

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Answer:mr clark

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2-3x=8 what does x equal?
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If you would like to solve the equation 2 - 3 * x = 8 for x, you can calculate this using the following steps:

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Write the equation of a line where slope = 2 and (1,3) is on the line in slope intercept form
vazorg [7]
Y = 3x + 0 is what i got though check my math to be sure 
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3 years ago
The market and Stock J have the following probability distributions:
denis-greek [22]

Answer:

1) E(M) = 14*0.3 + 10*0.4 + 19*0.3 = 13.9 \%

2) E(J)= 22*0.3 + 4*0.4 + 12*0.3 = 11.8 \%

3) E(M^2) = 14^2*0.3 + 10^2*0.4 + 19^2*0.3 = 207.1

And the variance would be given by:

Var (M)= E(M^2) -[E(M)]^2 = 207.1 -(13.9^2)= 13.89

And the deviation would be:

Sd(M) = \sqrt{13.89}= 3.73

4) E(J^2) = 22^2*0.3 + 4^2*0.4 + 12^2*0.3 =194.8

And the variance would be given by:

Var (J)= E(J^2) -[E(J)]^2 = 194.8 -(11.8^2)= 55.56

And the deviation would be:

Sd(M) = \sqrt{55.56}= 7.45

Step-by-step explanation:

For this case we have the following distributions given:

Probability  M   J

0.3           14%  22%

0.4           10%    4%

0.3           19%    12%

Part 1

The expected value is given by this formula:

E(X)=\sum_{i=1}^n X_i P(X_i)

And replacing we got:

E(M) = 14*0.3 + 10*0.4 + 19*0.3 = 13.9 \%

Part 2

E(J)= 22*0.3 + 4*0.4 + 12*0.3 = 11.8 \%

Part 3

We can calculate the second moment first with the following formula:

E(M^2) = 14^2*0.3 + 10^2*0.4 + 19^2*0.3 = 207.1

And the variance would be given by:

Var (M)= E(M^2) -[E(M)]^2 = 207.1 -(13.9^2)= 13.89

And the deviation would be:

Sd(M) = \sqrt{13.89}= 3.73

Part 4

We can calculate the second moment first with the following formula:

E(J^2) = 22^2*0.3 + 4^2*0.4 + 12^2*0.3 =194.8

And the variance would be given by:

Var (J)= E(J^2) -[E(J)]^2 = 194.8 -(11.8^2)= 55.56

And the deviation would be:

Sd(M) = \sqrt{55.56}= 7.45

8 0
3 years ago
Andy was given data to draw 3 scatter diagrams.
vredina [299]

Answer:

A) Negative Correlation. B) C. C) B

Step-by-step explanation:

<h2>A:</h2>

As the line of best fit is travelling downwards, it is a negative correlation, if the line of best fit is travelling upwards, it is a positive correlation, if the points on the graph are all over the place, there is no correlation.

<h2>B:</h2>

As there are only three types of correlation, the strongest is always the positive.

<h2>C:</h2>

The answer is B because there is no correlation and that means that there shouldn't be a line of best fit.

6 0
2 years ago
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