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konstantin123 [22]
2 years ago
13

The Harper family is traveling to visit friends. The distance to the friend’s house is 276.45 miles. It takes the family 5.82 ho

urs to complete the trip.
Rate is found by dividing distance by time.

What is the rate for the family’s trip in miles per hour?
Mathematics
2 answers:
Leona [35]2 years ago
8 0

Answer:

270.63

Step-by-step explanation:

hope you get it right

Valentin [98]2 years ago
3 0
270.63 I think u already have the answer but it’s ok
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KIM [24]

Answer:

SAS triangle because a SAS stands for side angle side that's how u always know

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2 years ago
20c -18c=6 <br> Solve for c <br> C=
Leni [432]

Answer:

c=3

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Thời gian để sản xuất một sản phẩm loại A là một BNN tuân theo luật phân phối chuẩn với các tham số m = 15 và s= 2 (đơn vị là ph
ser-zykov [4K]

Answer:

A= -u²n²t²s²arme²

Step-by-step explanation:

Evaluate m, then set it equal to 15.

=15

Evaluate s, the set it equal to 2.

=2

Simplify unitsareminutes.

−u²n²t²s²arme²

List all the solutions.

BN•N=BN²

m=15 ==15

s=2 2==2

8 0
2 years ago
7a+4b-2c if a=8,b=2 and c=17
cestrela7 [59]
The answer is 30
7(8)+4(2)-2(17)=30
5 0
3 years ago
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g: Consider the following game. A coin is flipped. If it lands tails we stop playing and winnothing. If it lands heads we spin a
galben [10]

Answer:

E[W] = $25 (assuming the currency is in dollars)

Var(W) = 1041.67

Step-by-step explanation:

Probability of winning first starts with the coin toss.

For a win, the coin needs to land on heads.

Probability of that = 1/2 = 0.5

Then probability of winning any amount = 1/100 = 0.01

Total probability of winning any amount = 0.5 × 0.01 = 0.005

But expected value is given by

E(X) = Σ xᵢpᵢ

where xᵢ is each amount that could be won

pᵢ is the probability of each amount to be won and it is the same for all the possible winnings = 0.005

So,

E(W) = Σ 0.005 xᵢ

Summing from 0 to 100 (0 indicating getting a tail from the coin toss). This could be done with dome faster with an integral sign

E(W) = ∫ 0.005 x dx

Integrating from 0 to 100

E(W) = [0.005 x²/2]¹⁰⁰₀

E(W) = [0.0025 x²]¹⁰⁰₀ = 0.0025(100² - 0²) = 0.0025 × 10000 = $25

Variance is given by

Variance = Var(X) = Σxᵢ²pᵢ − μ²

μ = expected value

We calculate the expression, Σxᵢ²pᵢ which is another sum from 0 to 100

Σxᵢ²pᵢ = Σ 0.005xᵢ²

Σ 0.005 xᵢ² = ∫ 0.005 x² dx

Integrating from 0 to 100

∫ 0.005 x² dx = [0.005 x³/3]¹⁰⁰₀ = [0.1667x³]¹⁰⁰₀ = 0.1667(100³ - 0³) = 1666.67

Var(W) = 1666.67 - 25² = 1666.67 - 625 = 1041.67.

5 0
3 years ago
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