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SashulF [63]
2 years ago
8

Which pair of variables shows a clear causal link?

Mathematics
2 answers:
xxTIMURxx [149]2 years ago
8 0
The number of lights switched on in a room and the room's brightness.
LekaFEV [45]2 years ago
4 0

Answer:

The pair of variables that show a clear causal link are  the number of lights switched on in a room and the room's brightness

Step-by-step explanation:

Clear casual link indicates two variables that have a completly and unequivocal relation, meaning that changes in one variable produce automatically and with no doubt a change in the other.

Case A does not have this link as these two variables have no relation at all. A person from certian state may have any type of academic degree.

Case B Cost of aviation fuel  may  be explained by other variables like international prices and flight duration may be explained also due to climate.

Case D- a person may have a pet even under low income levels.

Case C is the only adequate relation, as turning lights on will always increase room's brightness.

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Solve −8x ≤ 2.
Oksi-84 [34.3K]
-8x ≤ 2         
Divide both sides by negative 8. Remember that dividing both sides by a negative number flips the direction of the inequality.
x ≥ -(1/4)
-(1/4) can also be written as -0.25
Answer is C) x ≥ -0.25
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2 years ago
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Suppose that the researchers wanted to estimate the mean reaction time to within 6 msec with 95% confidence. Using the sample st
Lisa [10]

Answer:

a) The 95% confidence interval would be given by (509.592;550.308)  

b) n=523 rounded up to the nearest integer  

Step-by-step explanation:

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

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".  

\bar X=530 represent the sample mean for the sample  

\mu population mean

s=70 represent the sample standard deviation  

n=48 represent the sample size (variable of interest)  

Confidence =95% or 0.995

Part a

The confidence interval for the mean is given by the following formula:  

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}} (1)  

The degrees of freedom are df=n-1=48-1=47

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.025,47)".And we see that z_{\alpha/2}=2.01  

Now we have everything in order to replace into formula (1):  

530-2.01\frac{70}{\sqrt{48}}=509.692  

530+2.01\frac{70}{\sqrt{48}}=550.308  

So on this case the 95% confidence interval would be given by (509.592;550.308)  

Part b

The margin of error is given by this formula:  

ME=z_{\alpha/2}\frac{\sigma}{\sqrt{n}} (a)  

Assuming that \hat \sigma =s

And on this case we have that ME =6msec, and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

n=(\frac{z_{\alpha/2} \sigma}{ME})^2 (b)  

The critical value for 95% of confidence interval is provided, z_{\alpha/2}=1.96, replacing into formula (b) we got:  

n=(\frac{1.96(70)}{6})^2 =522.88 \approx 523  

So the answer for this case would be n=523 rounded up to the nearest integer  

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Answer:

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It would be 48/64 this is done by finding how many times 4 fits in 64 (64/4) then multiplying 3 by that answer
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