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Vlada [557]
3 years ago
15

Need help please very confuzzled

Mathematics
2 answers:
Korvikt [17]3 years ago
8 0
Ok, let’s take a look at this from a different perspective, without looking at x or y.

We know that the lower left angle, not looking at the intersecting line, is a 90 degree angle. The 40 degrees indicates that the remaining side is 50 degrees. Let’s call this angle A.


Now, still ignoring x and y, take a look at the top line and the bottom line. Notice that they are parallel, indicated by the red arrows. This means that the 90 degree angle you see at the lower left corner also applies to the upper left.

Finally, plugging in the 3y we see at the top, angle b is 3y=90.


We know that all triangles add up to 180 degrees. So, let’s set up that equation.

180=50+90+5x
180=140+5x
40=5x
x=8


That said; the answer to this is x=8, and y=30 (Sorry this took a while! I made a mistake halfway through.)

SVEN [57.7K]3 years ago
7 0
I'm not too sure either.

5(5) + 3(5) = 40 and

5(2) + 3 (10) = 40

If you can't think of anything maybe that'll help
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Answer:

There is not enough evidence to suggest that mean starting salary of a graduate with a bachelor in economics is different from $48,500.

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In this case we need to test whether the mean starting salary of a graduate with a bachelor in economics is $48,500.

The information provided are:

\bar x=\$43350\\s=\$15000\\n=50\\\alpha =0.01

The hypothesis for the test can be defined as follows:

<em>H</em>₀: The mean starting salary of a graduate with a bachelor in economics is $48,500, i.e. <em>μ</em> = 48500.

<em>Hₐ</em>: The mean starting salary of a graduate with a bachelor in economics is different from $48,500, i.e. <em>μ</em> ≠ 48500.

As the population standard deviation is not known we will use a t-test for single mean.

Compute the test statistic value as follows:

 t=\frac{\bar x-\mu}{s/\sqrt{n}}

   =\frac{43350-48500}{15000/\sqrt{50}}\\\\=-2.42773\\\\\approx -2.43

Thus, the test statistic value is -2.43.

Compute the p-value of the test as follows:

 p-value=2\times P(t_{49}>-2.43)=0.0188

*Use a t-table.

Thus, the p-value of the test is 0.0188.

Decision rule:

If the p-value of the test is less than the significance level then the null hypothesis will be rejected and vice-versa.

p-value = 0.0188 > α = 0.01

The null hypothesis will not be rejected at 1% level of significance.

Thus, concluding that there is not enough evidence to suggest that mean starting salary of a graduate with a bachelor in economics is different from $48,500.

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