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3 years ago

Which of the following options is an equivalent function to f(x) = 4(3)2x?

2 answers:

8 0

The answer is d because when u multiply the main equation, you have 24x, therefore, of ll the answers in the options only option d, gives u 24x, making d the answer.

Nataliya [291]3 years ago

5 0

Answer: Option D is correct .

Step-by-step explanation:

Since we have given that

$f(x)=4(3)2x$

$f(x)=24x$

In option D,

$f(x)=4(6x)\\\\f(x)=24x$

Otherwise ,

In all other options , there is no other function whose value comes out to be 24x.

Like , in option b,

$f(x)=4(9)=36x$

which is not equivalent to

$f(x)=4(3)2x$

Hence, option D is correct.

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In quadrilateral QRST, Angle R S T measures (5x+15)°. Angle TQR measures (4x+3)°.

ANTONII [103]

Answer:

RST= 105 degrees

Step-by-step explanation:

it would be 2(5x+15) + 2(4x+3) =360

10x+30+8x+6=360

18x=324

x=18

so RST=5x+15=5(18)+15=105

8 0

3 years ago

Read 2 more answers

Simplify (6.89 + 14.52) + (-14.52) =

RUDIKE [14]

Answer:

6.89

Step-by-step explanation:

Add 6.89 and 14.52 together. Subtract 14.52 from that. You should get 6.89. Hope this helps.

4 0

3 years ago

Complete both I will give brainliest question if answer correct

Degger [83]

Answer:

1. 5 3/4 - 2 1/4 = 3 1/12 2. 7 2/3 + 2 1/5 = 9 13/15

Step-by-step explanation:

1. 5 3/4 - 2 1/4

subtract the numbers on the side 5-2=3

subtract the fraction 3/4-1/4=2/4

reduce 2/4=1/2

add them together 3+1/2=3 1/2

2. 7 2/3 + 2 1/5

subtract the numbers on the side 7+2=9

find LCD of 2/3 and 1/5=

10/15+3/15=13/15

add them together 9+13/15=9 13/15

8 0

3 years ago

Read 2 more answers

HELPPPP PPLEASEEEEEE :'(

Anastasy [175]

What do you need help with

6 0

3 years ago

The value of the z-scores in a hypothesis test is influenced by a variety of factors. Assuming that all other variables are held

7nadin3 [17]

Answer:

Explained below.

Step-by-step explanation:

The z-test statistic is given as follows:

$Z=\frac{\bar X-\mu}{\sigma/\sqrt{n}}$

Here,

$\bar X=\text{Sample Mean}\\\\\mu=\text{Population Mean}\\\\\sigma=\text{Population standard deviation}\\\\n=\text{Sample size}$

The p-value is well-defined as per the probability, [under the null-hypothesis (H₀)], of attaining a result equivalent to or greater than what was the truly observed value of the test statistic.

(i)

The difference between the sample mean and the original population mean are directly proportional to the z-test statistic.

So, increasing the difference between $\bar X$ and $\mu$ will lead to an increase in the z-score.

And as the Z-score increases the p-value of the test decreases.

Thus, the complete statement is:

"Increasing the difference between the sample mean and the original population mean will result in an increase in the absolute value of z, and a decrease in the probability of obtaining a sample with that mean."

(ii)

The population standard deviation is inversely proportional to the z-test statistic.

So, increasing the population standard deviation will lead to a decrease in the z-score.

And as the Z-score decreases the p-value of the test increases.

Thus, the complete statement is:

"Increasing the population standard deviation will result in a decrease in the absolute value of z, and an increase in the probability of obtaining a sample with that mean"

(iii)

The number of scores in the sample is directly proportional to the z-test statistic.

So, increasing the number of scores in the sample will lead to an increase in the z-score.

And as the Z-score increases the p-value of the test decreases.

Thus, the complete statement is:

"Increasing the number of scores in the sample will result in an increase in the absolute value of z, and an decrease in the probability of obtaining a sample with that mean."

3 0

3 years ago