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jek_recluse [69]
3 years ago
7

A bag contains 6 blue marbles and 30 white mark marbles if a representative sample contains 3 blue marbles then how many white m

arbles would you expect to contain
Mathematics
2 answers:
jasenka [17]3 years ago
4 0

Answer:

10

Step-by-step explanation:

vovikov84 [41]3 years ago
3 0
I would expect it to contain 10
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V=lwh solve for l in literal equations
Delicious77 [7]
Basically, you just perform whatever operations are needed to get the variable you DON'T know by itself on one side of the equal sign, plug in the variables you do know, and you have it. In your example, say you don't know the length, but you know the others:
V = l*w*h
V/w*h = l*w*h/w*h
V/wh = l
Now l is by itself, so you can substitute values for the other variables and solve for l.
5 0
4 years ago
If 1 candy cost 20$ what is the amount of 30 candy​
lana [24]

Answer:

$600

Step-by-step explanation:

you would do 30 x 20 since each piece of candy cost $20.

5 0
3 years ago
Read 2 more answers
he test scores on the Chapter 10 mathematics test have a mean of 52 and a standard deviation of 10. Andrea scored 76 on the test
tekilochka [14]

Answer:

Step-by-step explanation:

Hello!

The mean is a measurement of central tendency that shows what is the most expected value of the variable. The standard deviation is a measurement of variability, it shows you how distant or dispersed are the values of a certain population or sample in regards to the value of the mean.

In this example the variable is X: score obtained on a math test.

It's mean is μ= 52 and its standard deviation is σ= 10

To know how many standard deviations away is a value of X concerning the mean you have to first subtract the mean to the value of X, X - μ, and then you have to divide it by σ:

(X - μ)/ σ

If X=76

(76 - 52)/ 10= 2.4

The score obtained by Andrea is 2.4σ away from the mean.

I hope it helps!

3 0
3 years ago
Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (ho
xxMikexx [17]

Answer:

Explained below.

Step-by-step explanation:

The ANOVA and Regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal is provided.

(A)

The estimated regression equation equation is:

y=6.1092+0.8931x

Here,

<em>y</em> = maintenance expense (dollars per month)

<em>x</em> = usage (hours per week) for a particular brand of computer terminal

(B)

Consider the Regression output.

The hypothesis to test whether monthly maintenance expense is related to usage is:

<em>H</em>₀: The monthly maintenance expense is not related to usage, i.e. <em>β</em> = 0.

<em>Hₐ</em>: The monthly maintenance expense is related to usage, i.e. <em>β</em> ≠ 0.

Compute the test statistic as follows:

t=\frac{b}{S.E._{b}}=\frac{0.8931}{0.149}=5.99

Compute the <em>p</em>-value as follows:

p-value=2\times P (t_{8}

The null hypothesis will be rejected if the <em>p</em>-value is less than the significance level.

<em>p</em>-value = 0.00033 < <em>α</em> = 0.05

Reject the null hypothesis.

(C)

Monthly maintenance expense​ <u>is related </u>to usage.

(D)

Yes, the estimated regression equation provide a good fit.

Since the regression coefficient is significant it can be concluded that the regression equation estimated is a good fit.

7 0
3 years ago
An equilateral triangle is always __________. A. obtuse and isosceles B. acute and isosceles C. scalene D. obtuse
V125BC [204]
 acute b that is what it always is

8 0
3 years ago
Read 2 more answers
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