All categories

3 years ago

What is 2/3 x 5/6 x 14=

Mathematics

2 answers:

il63 [147K]3 years ago

7 0

I did it on the calculator and the answer is 7.77777777778

viva [34]3 years ago

3 0

7.777 and so on. Hope it helped :)

You might be interested in

2 units left and 3 units down

ruslelena [56]

I think this is the awnser (-2,-3)

3 0

3 years ago

What is the slope of the line that passes through each pair of points in (-4,-1),(-4,-5)

Anuta_ua [19.1K]

So to start off you subtract y2 - y1/x2 - x1. This should look like -5 - -1/ -4 - -4. Now you do the math and you should get -4/0. Therefore the slope is undefined.

5 0

3 years ago

What is a1 for the geometric sequence for which a8= -3584 and a3 = 112 ?

Kazeer [188]

Answer:

The first term is 28.

Step-by-step explanation:

Given: 8th term of Geometric sequence , $a_8=-3584$

and 3rd term of Geometric Sequence, $a_3=112$

We have to find First term of given geometric Sequence.

Let a be the first term of geometric sequence.

We know that,

$a_n=ar^{n-1}$

So,

$\frac{a_8}{a_3}=\frac{ar^{8-1}}{ar^{3-1}}=\frac{-3584}{112}$

$\frac{r^{7}}{r^{2}}=-32$

$r^5=-32$

$r=-2$

So, 3rd term = 112

a × (-2)² = 112

a = 112 / 4

a = 28

Therefore, The first term is 28.

4 0

3 years ago

Read 2 more answers

Sodas in a can are supposed to contain an average 12 oz. This particular brand has a standard deviation of 0.1 oz, with an avera

hoa [83]

Answer:

The probability is $P(X < 12) = 0.99286$

Step-by-step explanation:

From the question we are told that

The population mean is $\mu = 12 \ oz$

The standard deviation is $\sigma = 0.1 \ oz$

The sample mean is $\= x = 12.1 \ oz$

The sample size is n = 6 packs

The standard error of the mean is mathematically represented as

$\sigma_{\= x } = \frac{\sigma}{\sqrt{n} }$

substituting values

$\sigma_{\= x } = \frac{0.1}{\sqrt{6} }$

$\sigma_{\= x } = 0.0408$

Given that the can’s contents follow a Normal distribution then then the probability that the mean contents of a six-pack are less than 12 oz is mathematically represented as

$P(X < 12) = P ( \frac{X - \mu }{ \sigma_{\= x }} < \frac{\= x - \mu }{ \sigma_{\= x }} )$