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3 years ago

What is the number ?

Mathematics

2 answers:

Ksivusya [100]3 years ago

4 0

Answer:

the answer is 75

Step-by-step explanation:

13+14+ 15 +16+17

Shalnov [3]3 years ago

3 0

The answer is 75 have a great day

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From the 9 male and 8 female sales representatives for an insurance company, a team of 4 men and 3 women will be selected to at

inessss [21]

Select 4 from 9, and 3 from 8. Multiply together.
C(9,4)*C(8,3)
=9!/(4!5!) * 8!/(3!5!)
=7056

3 0

3 years ago

Find the ratio of x to y<br> x/5 = 2/3 = 5/y

BigorU [14]

X=2
-- ---
5 3
Cross multiply:
3x=10
x=10/3

2=5
-- ---
3 y
2y=15
y=15/2
10/3=15/2 :)

3 0

3 years ago

Read 2 more answers

Which is a possible number of distinct real roots for a cubic function? Select all that apply.

Neko [114]

Answer:

Step-by-step explanation:

3 is a possible number of distinct real roots for a cubic function.

The maximum possible number of distinct roots are equal to the degree of any polynomial function.

Hence quadratic function has 2 roots

Cubic has 3

Linear has 1

4 0

2 years ago

Jayla had a bake sale to raise money. At the end of the day, she had 2 1/ 4 apple pie, 2/ 4 lemon pie, and 1 3 /4 cherry pie lef

irina1246 [14]

Answer:

4 2/4 or 4 1/2

Step-by-step explanation:

2 1/4+1 3/4

If you take 3/4 and add it to 1/4 you get 1 then you at 1+1+2=4 then you add the lemon ie which is 2/4, therefore, the answer is 4 2/4 or 4 1/2(simplified).

8 0

2 years ago

Read 2 more answers

A sample of size 6 will be drawn from a normal population with mean 61 and standard deviation 14. Use the TI-84 Plus calculator.

AVprozaik [17]

Answer:

$X \sim N(61,14)$

Where $\mu=61$ and $\sigma=14$

Since the distribution for X is normal then the distribution for the sample mean is also normal and given by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

$\mu_{\bar X} = 61$

$\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715$

So then is appropiate use the normal distribution to find the probabilities for $\bar X$

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean". The letter $\phi(b)$ is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words: $\phi(b)=P(z$

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

$X \sim N(61,14)$

Where $\mu=61$ and $\sigma=14$

Since the distribution for X is normal then the distribution for the sample mean $\bar X$ is also normal and given by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

$\mu_{\bar X} = 61$

$\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715$

So then is appropiate use the normal distribution to find the probabilities for $\bar X$

8 0

3 years ago