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marin [14]
3 years ago
15

What is 1294 divided by 868

Mathematics
2 answers:
Amanda [17]3 years ago
8 0
Your answer  is 1.4907834101
gogolik [260]3 years ago
5 0
If you use a calculator you will get 1.490783410138249
so you would put
1.4
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If you walk 3 miles a day every day how many feet per hour can you walk in 2 weeks
dusya [7]
I think the answer is 221,760
4 0
3 years ago
How do I do this? Please explain
kicyunya [14]

Answer:

\frac{1}{16}

Step-by-step explanation:

With a negative fractional exponent place a 1 over the positive value

\frac{1}{ {8}^{ \frac{4}{3} } }

rewrite 8 as

( {2}^{3} ) ^{ \frac{4}{3} }

apply the power rule and multiply the exponents.

cancel the common factor of 3

rewrite the expression

\frac{1}{ {2}^{4} }

raise 2 to the power of 4 which =16

so the answer is

\frac{1}{16}

5 0
3 years ago
What is the result of subtracting the second equation from the first? \begin{aligned} -7x-y &= 0 \\\\ 7x+8y &= -6 \end{a
Kitty [74]

Answer:

-14x-9y=6

Step-by-step explanation:

We are given with two equations

first equation is  -7x-y=0

second equation is

7x+8y=-6

we find the result of subtracting two equation

subtract the second equation from the first, so

first equation - second equation, multiply second equation by -1  and then add it with first equation

-7x-y=0

-7x-8y=+6

Now add both equations, we get

-14x-9y=6

3 0
3 years ago
The problem is in the pic​
Otrada [13]

Answer:

B

Step-by-step explanation:

The solutions are at (-2,0) and (1,-3)

8 0
2 years ago
Read 2 more answers
The mean points obtained in an aptitude examination is 159 points with a standard deviation of 13 points. What is the probabilit
Korolek [52]

Answer:

0.4514 = 45.14% probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 159, \sigma = 13, n = 60, s = \frac{13}{\sqrt{60}} = 1.68

What is the probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled?

This is the pvalue of Z when X = 159+1 = 160 subtracted by the pvalue of Z when X = 159-1 = 158. So

X = 160

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{160 - 159}{1.68}

Z = 0.6

Z = 0.6 has a pvalue of 0.7257

X = 150

Z = \frac{X - \mu}{s}

Z = \frac{158 - 159}{1.68}

Z = -0.6

Z = -0.6 has a pvalue of 0.2743

0.7257 - 0.2743 = 0.4514

0.4514 = 45.14% probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled

7 0
3 years ago
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