All categories

3 years ago

70 PTS HELP PLS!!!!!

Mathematics

1 answer:

Tom [10]3 years ago

3 0

Answer:

28*4/7

Step-by-step explanation:

4/7

the 7 represents the 28. 28 is a multiple of 7.

28 * 4 = 112 = 16

1 7 7

there are 16 girls

also we know 4*7=28 so if we count the multiples of 4, there is 4 8 12 and the 4th multiple is 16.

You might be interested in

Write an equation in slope-intercept form for a line that has a slope of 1/2 and

Step2247 [10]

Answer:

y = 1/2x - 4

Step-by-step explanation:

y - (-2) = 1/2(x - 4)

y + 2 = 1/2x - 2

y = 1/2x - 4

8 0

3 years ago

What is 2.53 rounded to the nearest whole number

ella [17]

Answer:

Step-by-step explanation:

4 0

3 years ago

−2y−8+4yminus, 2, y, minus, 8, plus, 4, y

lora16 [44]

Answer:

a number 12

Step-by-step explanation:

duh bro

3 0

3 years ago

Read 2 more answers

2. John bought a car for $20,000. He sold it for a 30% profit. From the money raised from this sale, he bought another more expe

Lynna [10]

The profit was 6000
And loss 1400

8 0

3 years ago

There is no prior information about the proportion of Americans who support Medicare-for-all in 2019. If we want to estimate 95%

Kay [80]

Answer:

32 randomly selected Americans must be surveyed

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 $Z = 1.96$ .

If we want to estimate 95% confidence interval for the true proportion of Americans who support Medicare-for-all in 2019 with a 0.175 margin of error, how many randomly selected Americans must be surveyed?

n randomly selected Americans must be surveyed. n is found when M = 0.175.

We have no prior estimate, so we work with the worst case scenario, which is $\pi = 0.5$ .