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Talja [164]
4 years ago
13

Check all that apply to determine the following conversion.

Mathematics
1 answer:
MariettaO [177]4 years ago
5 0

Answer:

4 km -> 400,000 mm

put a decimal point at the end of 4 and move it to the left 6 times because we know that 1 km is equal to 100,000 and it has zeros.

hence, it is proven that 4 km is equal to 4000,000.

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576 =  \frac{1}{2}*8*8*x
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Write an equation of the line below.
LuckyWell [14K]

Answer:

(-8, 1) (0, 2)

Step-by-step explanation:

line up the dots and then u do slope

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Kelsie works at a bicycle shop as a salesperson. She records the number of bicycles she sells daily. Here is the probability dis
Andru [333]

Answer:

a) E(B)= \sum_{i=1}^n B_i P(B_i) =0*0.3+1*0.5+2*0.15+ 3*0.05=0.95

b) E(T)= \sum_{i=1}^n T_i P(T_i) =10*0.3+20*0.5+30*0.15+ 40*0.05=19.5

c) E(B^2)= \sum_{i=1}^n B^2_i P(B_i) =0^2 *0.3+1^2 *0.5+2^2 *0.15+ 3^2 *0.05=1.55

And the variance is given by:

Var(B) = E(B^2) -[E(B)]^2 = 1.55- [0.95]^2 =0.6475

And the deviation would be Sd(B) = \sqrt{0.6475}=0.8047

E(T^2)= \sum_{i=1}^n T^2_i P(T_i) =10^2 *0.3+20^2 *0.5+30^2 *0.15+ 40^2 *0.05=445

And the variance is given by:

Var(T) = E(T^2) -[E(T)]^2 = 445- [19.5]^2 =64.75

And the deviation would be Sd(T) = \sqrt{64.75}=8.047

Step-by-step explanation:

Previous concepts

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.

Solution to the problem  

Part a

For this case we have the following info:

B            0            1             2              3

____________________________________

T           10           20          30            40

____________________________________

P           0.3          0.5        0.15          0.05

____________________________________

And we can calculate the expected value for the random variable B like this:

E(B)= \sum_{i=1}^n B_i P(B_i) =0*0.3+1*0.5+2*0.15+ 3*0.05=0.95

Part b

Similar to part a we can find the expected value for the random variable T like this:

E(T)= \sum_{i=1}^n T_i P(T_i) =10*0.3+20*0.5+30*0.15+ 40*0.05=19.5

Part c

In order to find the variance for B we need to calculate the second moment given by:

E(B^2)= \sum_{i=1}^n B^2_i P(B_i) =0^2 *0.3+1^2 *0.5+2^2 *0.15+ 3^2 *0.05=1.55

And the variance is given by:

Var(B) = E(B^2) -[E(B)]^2 = 1.55- [0.95]^2 =0.6475

And the deviation would be Sd(B) = \sqrt{0.6475}=0.8047

Similar for the random variable T we have:

E(T^2)= \sum_{i=1}^n T^2_i P(T_i) =10^2 *0.3+20^2 *0.5+30^2 *0.15+ 40^2 *0.05=445

And the variance is given by:

Var(T) = E(T^2) -[E(T)]^2 = 445- [19.5]^2 =64.75

And the deviation would be Sd(B) = \sqrt{64.75}=8.047

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Question 14<br> Find the perimeter.
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Answer:

below

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yulyashka [42]

THEOREM:

• <u>Pythagorean theorem</u>:— In a right-angled triangle, the square of the hypotenuse side is equal to the sum of squares of the other two sides.

ANSWER:

By pythagorean property,

x² = 4² + 8²

x² = 16 + 64

x² = 80

x = √80 units.

So, <u>Correct choice</u> - [A] √80 units.

8 0
3 years ago
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