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aivan3 [116]
2 years ago
8

What is the value of 780/60

Mathematics
2 answers:
a_sh-v [17]2 years ago
5 0

Answer: 13

Step-by-step explanation: If you add 13 to itself 60 times, you will get 780.

Inessa [10]2 years ago
4 0

Answer: 13

Step-by-step explanation:

Let's divide both terms by 10 to simplify (They will have the same end value). 780 --> 78, 60 --> 6. 78/6 should be easy, 13.

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Tcecarenko [31]
5(16) + 5(12) works
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3 years ago
Savanna is ordering crafts for Thanksgiving for her class. Each individual craft cost $1.50. There are a shipping fee and handli
d1i1m1o1n [39]

Answer:

i smell penys

Step-by-step explanation:

3 0
3 years ago
You have been given the task of finding out what proportion of students that enroll in a local university actually complete thei
bearhunter [10]

Answer:

The proportion of sampled students that complete their degree is 0.74.

The lower bound for the 95% confidence interval is 0.659 and the upper bound is 0.819.

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}.

For this problem, we have that:

n = 115, \pi = \frac{85}{115} = 0.739

Rounded to two decimal places, the proportion of sampled students that complete their degree is 0.74.

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.

The lower limit of this interval is:

\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.739 - 1.96\sqrt{\frac{0.739*0.261}{115}} = 0.659

The upper limit of this interval is:

\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.739 + 1.96\sqrt{\frac{0.739*0.261}{115}} = 0.819

The lower bound for the 95% confidence interval is 0.659 and the upper bound is 0.819.

5 0
3 years ago
What is 2+2-4/5-9+98
dsp73

Answer:

0 is the right answer

Step-by-step explanation:

0/+94

= 0.

4 0
3 years ago
Read 2 more answers
obesity: The National Center for Health Statistics conducted the National Health Interview Survey (NHIS) for 27,787 U.S. civilia
WARRIOR [948]

Answer:

False.

Step-by-step explanation:

Hello!

29.9% is the proportion of adults aged 20 and over that were obese in January - September 2014.

This percentage was obtained from a sample of 27 787 adults, it's not a parameter but an estimation of the population proportion obtained from this sample.

I hope it helps!

5 0
3 years ago
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