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2 years ago

These points are linear. Find the slope.

Mathematics

1 answer:

Harlamova29_29 [7]2 years ago

8 0

Answer:

here

Step-by-step explanation:

8/1 or 8

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How to work it out<br> And who drove farther and how many miles farther

OlgaM077 [116]

Easy, just divide
kelly=440mi/8hr=220mi/4hr=110mi/2hr=55mi/1hr
alberto=468mi/9hr=156mi/3hr=52mi/1hr

55>52

kelly drove 55mi in 1 hour
55-52=3
she drove 3 miles more in 1 hour

5 0

2 years ago

What is the theoretical probability that the dial will land on the number 5? Enter your answer in all forms

Sedbober [7]

Answer:

1/3

Step-by-step explanation:

There are <u>four</u> 5's on the dial out of 12 possible stops

4/12 = 1/3 theoretical

5 0

1 year ago

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Can any one help please :)

Gemiola [76]

Answer:

Step-by-step explanation:

First, subtract 3 by the numbers

-8 > 4x > 4

Remember to flip the inequality signs

Second, divide all the numbers by 4

-2 < x < 1

Flip the inequality signs again

-2 > x > 1

I am not very experienced with these problems so I might be wrong.

7 0

2 years ago

Read 2 more answers

I need help!!

iogann1982 [59]

Answer:

1st is valid 2nd is not valid

Step-by-step explanation:

8 0

2 years ago

In a random sample of 45 newborn babies, what is the probability that 40% or fewer of the sample are boys. (Use 3 decimal places

erastova [34]

Answer:

$z= \frac{p- \mu_p}{\sigma_p}$

And the z score for 0.4 is

$z = \frac{0.4-0.4}{\sigma_p} = 0$

And then the probability desired would be:

$P(p$

Step-by-step explanation:

The normal approximation for this case is satisfied since the value for p is near to 0.5 and the sample size is large enough, and we have:

$np = 45*0.4= 18 >10$

$n(1-p) = 45*0.6= 27 >10$

For this case we can assume that the population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{p(1-p)}{n}})$

Where:

$\mu_{p}= \hat p = 0.4$

$\sigma_p = \sqrt{\frac{p(1-p)}(n} =\sqrt{\frac{0.4(1-0.4)}(45}= 0.0703$

And we want to find this probability:

$P(p$

And we can use the z score formula given by:

$z= \frac{p- \mu_p}{\sigma_p}$

And the z score for 0.4 is

$z = \frac{0.4-0.4}{\sigma_p} = 0$

And then the probability desired would be:

$P(p$

7 0

2 years ago

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