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3 years ago

PLEASE HELP !! FIND THE INVERSE

Mathematics

1 answer:

Gelneren [198K]3 years ago

7 0

Answer:

A. -1

B. 1

C. 3

D. -2

yes

Step-by-step explanation:

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PLEASE ANSWER ASAP !!!!!

VLD [36.1K]

k(6)=0

#pglubestiehere

8 0

3 years ago

Read 2 more answers

If f(x)=4x-6 and g(x) =2x find f(x) •g(x)

slavikrds [6]

This is same as (4x-6)(2x), so you can distribute 2x into 4x-6 and you would get
(2x)4x - (2x)6 = 8x² - 12x

Final answer: 8x² - 12x

Hope this helps.

5 0

3 years ago

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HELP! What is the measure of angle ABE? WILL GIVE BRAINLIEST!

Mazyrski [523]

Answer:

Step-by-step explanation:

Bisection is the division of a line or an angle into two equal halves. It means that a bisector is a line that divides an angle or another line into two equal halves. Therefore,

Line BE divides angle ABC into two equal halves. This means that

Angle ABC/2 = angle ABE = angle EBC

Therefore,.

2x + 20 = 4x - 6

4x - 2x = 20 + 6

2x = 26

x = 26/2 = 13

Therefore,

Angle ABE = 2 × 13 + 20

= 46 degrees

8 0

3 years ago

Pls help me. 6th grade math due in 20 mins

Lana71 [14]

Answer:

1: 16

2: 27

4: 100

7: 1.728

10: 64

Just some of the answers

Step-by-step explanation:

8 0

3 years ago

A person's blood pressure is monitored by taking 4 readings daily. The probability distribution of his reading had a mean of 13

ss7ja [257]

Answer:

a) Mean = 133, Standard deviation = 2.5

b) Normal distribution

c) 0.0026

Step-by-step explanation:

We are given the following in the question:

Sample size, n = 4

Mean = 133

Standard deviation = 5

a) Mean and the standard deviation of the sampling distribution of the sample mean for the four observations each day.

The sampling distribution has a mean equal to the population mean

$\bar{x} = \mu = 133$

The standard deviation of the sampling distribution is given by:

$\sigma_s = \dfrac{\sigma}{\sqrt{n}} = \dfrac{5}{\sqrt{4}} = 2.5$

b) Shape of the sampling distribution

Central limit theorem:

When a large sample is drawn from a normal distribution, then the distribution of sample means approaches a normal distribution.

Since the distribution is normal, the sampling distribution of the sample mean will be bell shaped and follow a normal distribution.

c) P(sample mean exceeds 140)

$P( x > 140) = P( z > \displaystyle\frac{140 - 133}{2.5}) = P(z > 2.8)$

$= 1 - P(z \leq 2.8)$

Calculation the value from standard normal z table, we have,

$P(x > 140) = 1 - 0.9974 = 0.0026$

0.0026 is the probability that the sample mean exceeds 140.

6 0

3 years ago