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4 years ago

Compare the functions below SELECT ALL THE CORRECT ANSWERS

Mathematics

1 answer:

motikmotik4 years ago

8 0

1st not completely sure due to waves equality type means "about 4". I would go with false, because at 4 it not true. just over 4 it will be true. f(4) = 83 , g(4) =84

false , ave.rate change = slope
h is lowest

true

false, f will exceed them all. see previous statement

false, f exceeds them all

true

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Find LCM of 45, 60 & 135<br> Pls need answers

Darina [25.2K]

Answer:

540

Step-by-step explanation:

The multiples of 45 are 9,3,3,1

The multiples of 60 are 12,4,2,1

The multiples of 135 are 27,9,9,9,3

Therefore the LCM can be calculated as follows

= 5×3×2×2×3×3

= 540

Hence the LCM is 540

6 0

3 years ago

Which expression correctly represents twice of the sum of four and a number

tino4ka555 [31]

Let "a number" be represented with the variable x.

Solve the expression by breaking it apart:

"...the sum of four and a number": (x + 4)

"twice of...": 2(

"Twice of the sum of four and a number": 2(x + 4)

2(x + 4) is your answer.

5 0

3 years ago

Read 2 more answers

Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the pre

artcher [175]

Answer: The proportion of new car buyers that trade in their old car has statistically significantly decreased.

Step-by-step explanation:

Since we have given that

p = 48% = 0.48

n = 115

x = 46

So, $\hat{p}=\dfrac{46}{115}=0.40$

So, hypothesis would be

$H_0:\ p=\hat{p}\\\\H_a:p$

So, test value would be

$z=\dfrac{p-\hat{p}}{\sqrt{\dfrac{p(1-p)}{n}}}\\\z=\dfrac{0.48-0.40}{\sqrt{\dfrac{0.48\times 0.52}{115}}}\\\\z=\dfrac{0.08}{0.0466}\\\\z=1.72$

At 10% level of significance, critical value would be

z= 1.28

Since 1.28 < 1.72

So, we will reject the null hypothesis.

Hence, the proportion of new car buyers that trade in their old car has statistically significantly decreased.

6 0

4 years ago

I guess fill most of this out?

diamong [38]

This one is for number 26

4 0

3 years ago

Suppose that the regression equation y = 16.99 + 0.32 x1 + 0.41 x2 + 5.31 x3 predicts an adult’s height (y) given the individual

umka21 [38]

Answer:

Step-by-step explanation:

It is given that the regression equation

$y = 16.99 + 0.32 x_1 + 0.41 x_2 + 5.31 x_3$

predicts an adult’s height (y) given the individual’s mother’s height (x1), his or her father’s height (x2), and whether the individual is male (x3 = 1) or female (x3 = 0).

The coefficient of x1 = 0.32 represents the increase in height of the child due to one inch increase in mother.

Similarly coefficient of x2 = 0.42 represents the increase in height of the child due to one inch increase in father.

and coefficient of x3 = 5.31 represents the increase in height of the child due to being a male than a female.

8 0

3 years ago