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Alex777 [14]
3 years ago
6

In the diagram, what is mAngleVSR?

Mathematics
2 answers:
slava [35]3 years ago
8 0

Answer:

80

Step-by-step explanation:

I just took the test

Damm [24]3 years ago
6 0

Answer:

80

Step-by-step explanation:

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Find the image (0,0) after two reflections first across y=3 and then across x-axis
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Refrection of point (0, 0) across y = 3 gives point (0, 6)
Refrection of point (0, -6) across the x-axis gives point (0, -6)
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3 years ago
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What is 5654554 + 5544527?
vovangra [49]

Answer:

11,199,081

Step-by-step explanation:

Hope this helped,  have a great day! ;D

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3 years ago
Add the polynomials.<br> (3x3 - 3x2 - 4x + 9) +(6x2 +7x - 5)
bixtya [17]

Answer:

3x +19

Step-by-step explanation:

(9-6-4x+9)+(12+7x-5)

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3x+19

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2 years ago
N is an integer<br> write down all the possible values of n<br><br> -2≤n&lt;5
melisa1 [442]

Answer:

-2, -1, 0, 1, 2, 3, 4

Step-by-step explanation:

The number has to be smaller than 5 but greater than or equal to - 2

8 0
3 years ago
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Suppose that a company prints baseball cards. They claim that 30% of the cards feature rookies, 60% feature veterans, and 10% fe
liraira [26]

Answer:

H0: The distribution of players featured on the cards is 0.30 rookies, 0.60 veterans, and 0.10 All-Stars.

Ha: At least one of the proportions in the null hypothesis is false.

Step-by-step explanation:

On this case we need to apply a Chi squared goodness of fit test, and the correct system of hypothesis would be:

H0: The distribution of players featured on the cards is 0.30 rookies, 0.60 veterans, and 0.10 All-Stars.

Ha: At least one of the proportions in the null hypothesis is false.

And in order to test it we need to have observed and expected values. On this case we  can calculate the Expected values like this

E_{rookies}=50*0.3=15

E_{veterans}=50*0.6=30

E_{All stars}=50*0.1=5

The observed values are not provided. The statistic on this case is given by:

\chi^2 =\sum_{i=1}^n \frac{(O_i) -E_i}{E_i}

And this statistic follows a chi square distribution with k-1 degrees of freedom on this case k=3, since we have 3 groups.

We can calculate the p valu like this:

P(\chi^2 > \chi^2_{calculated})=p_v

And if the p value it's higher than the significance level we FAIL to reject the null hypothesis. In other case we reject the null hypothesis.

5 0
2 years ago
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