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mr_godi [17]
3 years ago
11

Hello to everyone!!! Be the fist to comment get 32 points!

Mathematics
1 answer:
guapka [62]3 years ago
4 0

OMG THANKSSSSSSSSSSSSSSSSSSSSSs

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Compare the values of the 2s and 5s in 55,220
bagirrra123 [75]
The five digit number, 55,220 contains to 5's and two 2's.  The 5's are in the ten thousand and one thousand columns. This means that one five represents 50,000 and the second represents 5, 000.  The two's are in the hundreds and tens columns meaning one 2 represents 200 and the other 2 represents 20. In a direct comparison of these numbers the 5's equal 55,000 and the 2's equal 220.
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4 years ago
Which of the following is equivalent to
Firlakuza [10]

Answer: it will be D

Step-by-step explanation: if You graph them you will get the same coordinate plates

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3 years ago
A true-false quiz with 10 questions was given to a statistics class. Following is the probability distribution for the score of
disa [49]

Answer:

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=5*0.05 +6*0.15 +7*0.33 +8*0.28+ 9*0.12 +10*0.07=7.48  

For this case this value means that the expected score is about 7.48

Step-by-step explanation:

For this case we assume the following probability distribution:

X         5       6         7       8        9        10

P(X)   0.05   0.15  0.33  0.28   0.12   0.07

First we need to find the expected value (first moment) and the second moment in order to find the variance and then the standard deviation.

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=5*0.05 +6*0.15 +7*0.33 +8*0.28+ 9*0.12 +10*0.07=7.48  

For this case this value means that the expected score is about 7.48

In order to find the standard deviation we need to find first the second moment, given by :  

E(X^2)=\sum_{i=1}^n X^2_i P(X_i)  

And using the formula we got:  

E(X^2)=(5^2 *0.05)+(6^2 *0.15)+(7^2 *0.33)+(8^2 *0.28)+ (9^2 *0.12 +(10^2 *0.07))=57.46  

Then we can find the variance with the following formula:  

Var(X)=E(X^2)-[E(X)]^2 =57.46-(7.48)^2 =1.5096  

And then the standard deviation would be given by:  

Sd(X)=\sqrt{Var(X)}=\sqrt{1.5096}=1.229  

5 0
4 years ago
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Can someone please help me?
pshichka [43]

Answer:

Step-by-step explanation:

7m=28

m=4

-30=p-17

p= -13

z= -18

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3 years ago
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Tell me a funny jooke for brainliest
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Answer:

am i a light switch? because you turn me on.

Step-by-step explanation:

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