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3 years ago

FREE 100 POINTS AFTER YOU ANSWER

Mathematics

2 answers:

Step2247 [10]3 years ago

5 0

Answer:

the answer is 1

Step-by-step explanation:

Eddi Din [679]3 years ago

5 0

Answer: A. On the Iberian Peninsula

Step-by-step explanation: It happened in Spain on the Iberian Peninsula.

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79 x 52 = 46 x 34 = 28 x 70 = 59 x 31 = 62 x 45 = 87 x 16 = 39 x 20 =

romanna [79]

Answer:

79×52=4,108

46×34=1,564

28×70=1,960

59×31=1,829

62×45=2,790

87×16=1,392

39×20=780

8 0

3 years ago

The area in square feet of a rectangular field is x^2-100x+2400. The width, in feet is x-40. What is the length, in feet?

sattari [20]

Answer:

x-60

Step-by-step explanation:

You have to factor out the quadratic.

You know that one of the factors is x-40.

To factor:

Find a number that when added to -40, gives you -100, and also when multiplied, gives you 2400.

That such number is -60.

Add an x before it, and you get (x-60)

3 0

3 years ago

Complete all show all your work 40÷5 (2+11)=

Ulleksa [173]

40÷5 (2+11)
8 (13)
104

8 0

3 years ago

Read 2 more answers

Dianne drew a triangle with coordinates (1,3), (3,2) and (4,2) she drew an image of the triangle with coordinates (21,3) ,(23,2)

Bond [772]

Answer:

ttrhrtherhhhtrhtr

Step-by-step explanation:

6 0

3 years ago

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.

5 0

3 years ago