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JulsSmile [24]
3 years ago
15

What am I supposed to do hear im confused

Mathematics
2 answers:
natulia [17]3 years ago
7 0

Answer:

Step-by-step explanation:

In No.1

First you find the total number of girls which is 56-20 =36 girls in total

So to get number of boys who watched tennis 20-13=7 boys watched tennis

To get number of girls who didnt watch you do 36-17=19 girls who watched

Then add o get the totals

No.2

First you get the total number of male 80-47=33 males

Next you find the number of females doing phyisics 33-19=14 females

Next you find the number of females doing chemistry by 47-(18 + 14)=15 females

To get the number of males diong chemistry 21-15=6 males

Number of males doing biology 33-(19+6)=8

Then find the remaining totals

2

No. 2 (b)

Because there is a high number of students doing physics and most of them are female

Margarita [4]3 years ago
7 0
What he said. Ya up there
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espero que esto haya ayudado!
te agradecería que me dieras un gracias y brainliest (:
6 0
2 years ago
The manager of a grocery store reports that there is a 12 percent chance that a customer buys apples during a shopping trip, a 5
FromTheMoon [43]
P(A) = 0.12
P(A\cap C)=0.05
P(A\cup C)=0.17=P(A)+P(C)-P(A\cap C)
0.17=0.12+P(C)-0.05
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5 0
3 years ago
Read 2 more answers
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
Every workday, Zoe bikes 2.6 miles to work along city streets. On the way back, she likes to take a shortcut through a park, so
snow_lady [41]

Answer:

I'm pretty sure it's 7.1 miles in a week

8 0
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tatyana61 [14]

Answer:

1. 8x+9

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2 years ago
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