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2 years ago

PLZZZZZZZ HELPPPPPP MEEEEEE THISSSS ISSSS DUEEEEEE IN 15 MINTUES

Mathematics

2 answers:

Wewaii [24]2 years ago

6 0

Answer:

I belive it would be A. Neither linear nor nonlinear

cause of similer question at my school

dimaraw [331]2 years ago

3 0

Answer:

C, Linear

General Formulas and Concepts:

Algebra I

Linear - Proportional relationship y = mx + b
Nonlinear - Any graph that has a degree x higher than 1

Step-by-step explanation:

Step 1: Define

y = 7x + 14

Step 2: Identify

We see a linear equation (proportional relationship). Therefore, we have a linear equation.

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A bag contains a mixture of identical coloured balls.

Amiraneli [1.4K]

Answer:

72 yellow balls

Step-by-step explanation:

80% of 90 is (0.80*90) = 72 yellow balls.

5 0

2 years ago

Find the length of each side.

34kurt

Answer:

16.852

Step-by-step explanation:

All side lengths are the same in an octagon. What you do is take the diamater and multiply it by 0.383. Diamater is the radius doubled.

7 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

I need helpppp:

Sedaia [141]

Answer:

The second table.

Step-by-step explanation:

In the first table, the speed goes from 45 down to 43; then down to 41; then up to 42; then up to 43. It decreases and then increases. This is not the correct table.

In the second table, the speed goes from 45 up to 47; then up to 49; then down to 48; then down to 47. It increases and then decreases; this is the correct table.

To verify, we check the last two tables. The third table stays at 45, then decreases to 43 and 41. This is not correct.

The last table decreases from 45 to 43, then decreases to 41, then stays constant. This is not correct.

The second table is the only correct one.

6 0

3 years ago

Read 2 more answers

Can someone help me with these

vampirchik [111]

Answer: x-intercept is -9

Step-by-step explanation: To find the x intercept y is 0 and to find the y intercept x is 0. 18 divided by -2 is -9, which is the answer

3 0

3 years ago