All categories

3 years ago

This type of medicine is still practiced today.

Mathematics

1 answer:

devlian [24]3 years ago

7 0

The answer is chinese medicine.

You might be interested in

90.5 rounded to the nearest one

sladkih [1.3K]

Answer:

Step-by-step explanation:

90.5 needs to be a whole number, and if it ends in 5 you round it up

5 0

2 years ago

Read 2 more answers

Can anyone help me please

Vikki [24]

Answer:

i think it is x= -4/3

Step-by-step explanation:

maybe

7 0

2 years ago

Read 2 more answers

Four times a number w minus 3.5 is less than or equal to -1.5

DIA [1.3K]

Answer:

This is your answer ☺️☺️

6 0

3 years ago

What is the domain? F(x)= 3x^2-2x-1/ x^2+3x-10

9966 [12]

Domain:
(
−
∞
,
∞
)
,
{
x
|
x
∈
R
}

8 0

3 years ago

An automobile manufacturer would like to know what proportion of its customers are not satisfied by the service provided by the

zheka24 [161]

Answer:

The sample size needed if the margin of error of the confidence interval is to be about 0.04 is 18.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which

z is the zscore that has a pvalue of $1 - \frac{\alpha}{2}$ .

The margin of error is:

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

95% confidence level

So $\alpha = 0.05$ , z is the value of Z that has a pvalue of $1 - \frac{0.05}{2} = 0.975$ , so $Z = 1.96$ .

Past studies suggest this proportion will be about 0.15

This means that $p = 0.15$

Find the sample size needed if the margin of error of the confidence interval is to be about 0.04

This is n when M = 0.04. So

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

$0.04 = 1.96\sqrt{\frac{0.15*0.85}{n}}$

$0.04\sqrt{n} = 1.96\sqrt{0.15*0.85}$

$\sqrt{n} = \frac{1.96\sqrt{0.15*0.85}}{0.04}$

$(\sqrt{n})^{2} = (\frac{1.96\sqrt{0.15*0.85}}{0.04})^{2}$

$n = 17.5$

Rounding up

The sample size needed if the margin of error of the confidence interval is to be about 0.04 is 18.

8 0

2 years ago