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2 years ago

What is the area of the triangle? 8 10 6 units

Mathematics

1 answer:

Flura [38]2 years ago

4 0

Answer:

A = 24 units^2

Step-by-step explanation:

The area of a triangle is given by

A = 1/2 bh

The base is 6 and the height is 8

A = 1/2(6) *8

A = 24 units^2

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Daniel had a small bag of erasers. The bag contained 15 blue, 10 purple, 8 yellow, 13 green, and 4 red erasers. He picked one of

worty [1.4K]

the probability for a purple is 10

5 0

3 years ago

Read 2 more answers

A positive real number is 5 more than another. When - 10 times the smaller is added to the square of the larger, the result is 5

salantis [7]

Answer:

4√2 and 5+4√2

Step-by-step explanation:

Let the two numbers be x ad y

Smaller = y

Bigger = x

If a positive real number is 5 more than another, then;

x = 5 + y ... 1

When - 10 times the smaller is added to the square of the larger, the result is 57, then;

-10y + x² = 57 ...2

Substitute 1 into 2;

-10y + (5+y)² = 57

-10y + 25+10y+y² = 57

y²+25 = 57

y² = 57 - 25

y² = 32

y = √32

y = 4√2

Since x = 5 + y

x = 5 + 4√2

Hence rhe numbers are 4√2 and 5+4√2

8 0

2 years ago

WILL GIVE BRANLIEST PLZZ HELP ANSWERING THE 3 QUESTIONS IN FULL

Stells [14]

Answer:

1. 3/2

2. 25/16

3. x^2

Step-by-step explanation:

$\frac{1}{2/3^1}$ = $\frac{1}{2/3}$

1 x (3/2)

5 0

2 years ago

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The number and frequency of Atlantic hurricanes annually from 1940 through 2007 is shown here:

klio [65]

Answer:

The probability table is shown below.

A Poisson distribution can be used to approximate the model of the number of hurricanes each season.

Step-by-step explanation:

(a)

The formula to compute the probability of an event E is:

$P(E)=\frac{Favorable\ no.\ of\ frequencies}{Total\ NO.\ of\ frequencies}$

Use this formula to compute the probabilities of 0 - 8 hurricanes each season.

The table for the probabilities is shown below.

(b)

Compute the mean number of hurricanes per season as follows:

$E(X)=\frac{\sum x f_{x}}{\sum f_{x}}=\frac{176}{68}= 2.5882\approx2.59$

If the variable X follows a Poisson distribution with parameter λ = 7.56 then the probability function is:

$P(X=x)=\frac{e^{-2.59}(2.59)^{x}}{x!} ;\ x=0, 1, 2,...$

Compute the probability of X = 0 as follows:

$P(X=0)=\frac{e^{-2.59}(2.59)^{0}}{0!} =\frac{0.075\times1}{1}=0.075$

Compute the probability of X = 1 as follows:

$\neq P(X=1)=\frac{e^{-2.59}(2.59)^{1}}{1!} =\frac{0.075\times7.56}{1}=0.1943$

Compute the probabilities for the rest of the values of X in the similar way.

The probabilities are shown in the table.

On comparing the two probability tables, it can be seen that the Poisson distribution can be used to approximate the distribution of the number of hurricanes each season. This is because for every value of X the Poisson probability is approximately equal to the empirical probability.