Ask question

Ask question

All categories

3 years ago

14

Linley bought a set of 20 markets at the price of $6. What does 1 marker cost?

1 answer:

Greeley [361]3 years ago

6 0

One marker would cost approx. $0.03

You might be interested in

What expression is equivalent to

Vladimir [108]

One way to approach this would be to express 125^2 as (125)(125).

Note also that 125^(4^3) = 125^(1 + 1/3) = (125)(5)

Therefore, the given expression boils down to

(125)(125) 125
--------------- = ------- = 25
5 (125) 5

There are other ways in which you could reduce the given expression.

4 0

3 years ago

Can someone tell me the answers to the questions i just imputed? :>

Andrej [43]

It is 54 for 1 and 2 is 2520 you multply the lenght by the whith and divide by 2

6 0

2 years ago

Answer this question on the picture

vaieri [72.5K]

Answer:

When one variable influences a change in another

Step-by-step explanation:

Causation means that one event causes another event to occur.

3 0

3 years ago

What is 10 times as much as 60?

vfiekz [6]

10 time as much of something is basically just multiplication, so all you have do is multiply 60x10 which equals 600 :)

7 0

3 years ago

Read 2 more answers

The distribution of blood cholesterol level in the

qaws [65]

Answer: A. Mean of sampling means $=\mu=168\ Mg/dl$

Standard deviation of sampling means = $2.86\ mg/dl$

B. The probability that your sample has mean less than 165 is 0.1492 .

Given : The distribution of blood cholesterol level in the

population of young men aged 20 to 34 years is close to normal with

mean $\mu= 168$ Mg/dl and standard deviation $\sigma= 35$ mg/dl.

Sample size : n= 150

Let $\overline{x}$ sample mean values.

A. The mean and the standard deviation of the distribution of the sampling means would be :

Mean of sampling means = $\mu=168\ Mg/dl$

Standard deviation of sampling means = $\dfrac{\sigma}{\sqrt{n}}=\dfrac{35}{\sqrt{150}}$

$=\dfrac{35}{12.2474487}\\\\=2.85773803649\approx2.86\ mg/dl$

The probability that your sample has mean less than 165 would be

$P(\overline{x}$

Hence , the probability that your sample has mean less than 165 is 0.1492 .

7 0

3 years ago