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nikdorinn [45]
3 years ago
6

What is the volume of the square pyraimd

Mathematics
2 answers:
Travka [436]3 years ago
3 0
3×3×3 (Bh) ÷4 = 27/4
joja [24]3 years ago
3 0
Oh ok easy peasy.......use the formula 1/3Bh

substitute-1/3 *3*3*3
simplify-1/3* 27
simplify- (you can just divide by 3)
v=9cm^3

i love helping people so here you go..... i just wanna make sure you actually know how to solve it
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maddie is reading a book with 300 pages. she has read 126 pages so far. how many pages does Maddie have left to read
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A teacher was interested in finding out whether a special study program would increase the scores of students on a national exam
bija089 [108]

Answer:

Check the explanation

Step-by-step explanation:

Going by the first attached image below we reject H_o against  H_1 if obs.T > t_{\alpha /2;n-1}

here obs.T=1.879

\therefore obs.T \ngtr 2.447=t_{0.025;6}

we accept H_o:\mu _{1}=\mu_{2} at 5% level of significance.

i.e there is no sufficient evidence to indicate that the special study program is more effective at 5% level of significance.

1.

this problem is simillar to the previous one except the alternative hypothesis.

Let X_i's denote the bonuses given by female managers and Y_i's denote the bonuses given by male managers.

we assume that X_i \sim N(\mu _{1},\sigma _{1}^{2}) Y_i \sim N(\mu _{2},\sigma _{2}^{2}) independently

We want to test H_0:\mu_{1}=\mu_{2} vs H_1:\mu_{1}\neq \mu_{2}

define D_i=X_i-Y_i , i=1(1)8

now D_i\sim N(\mu _{1}-\mu _{2}=\mu _{D},\sigma _{1}^{2}+\sigma _{2}^{2}=\sigma _{D}^{2}) , i=1(1)8

the hypothesis becomes

H_0:\mu_{D}=0 vs H_1:\mu_{D}\neq 0

in the third attached image, we use the same test statistic as before

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3 0
3 years ago
3x + 5 = x - 3<br> whats the answer?
tester [92]

Hello!

Here are the steps to your problem:

3x + 5 = x - 3

3x -x = -3 -5

2x = -8

x = -4

I hope this helps you! Have a lovely day!

-Mal

5 0
3 years ago
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Answer:

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Step-by-step explanation:

Correlation is a statistical technique which shows how strongly a pair of variables are linearly related and change together.

Causation says that the change in one value will cause the other to change, making one variable dependent on the other.

Examples of correlation with causation are:

a) ice cream sales and summer temperatures

b) forest fires and summer temperatures

An example of correlation without causation is ice cream sales and forest fires. While they both increase as temperatures increase, ice cream sales are not CAUSING the forest fires.

From the information available it can be suggested that there is a correlation between sexual intercourse within a month prior to delivery as there is a higher number of fetus deaths to mothers who had sexual intercourse within a month prior to delivery. However, there is no information which shows the sexual intercourse caused the deaths. Additionally, 89% of the mothers of fetuses who died DID NOT have sexual intercourse within a month prior to delivery, thus even the correlation is weak in this case.

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