Answer:
a) There is outlier (lower category), but this outlier seem certain to be due to an error.
b) There is outlier (upper category), this outlier seem certain to be conceivably correct.
Step-by-step explanation:
a) The outlier in the rock weight is certain to be due to an error. As shown, the rock was weighed five time to ascertain the actual weight or perhaps to known the mean weight. <em>Thus, having a value 4.91 can not be true. It can only be due to an error of recording the values.</em> It suppose to be recorded as 49.1.
b) Since this was a sample of annual income of five different families, it quite possible that a particular family annual income is $1, 200, 000. Hence, we cannot regard this outlier an error, rather conceivably true.
See attached for the box plot of the two data sets.
Answer:
x=2.4
Step-by-step explanation:
2(x+1)+6=20-3x
We simplify the equation to the form, which is simple to understand
2(x+1)+6=20-3x
Reorder the terms in parentheses
+(+2x+2)+6=20-3x
Remove unnecessary parentheses
+2x+2+6=+20-3x
We move all terms containing x to the left and all other terms to the right.
+2x+3x=+20-2-6
We simplify left and right side of the equation.
+5x=+12
We divide both sides of the equation by 5 to get x.
x=2.4
(found online but it might help)
Answer:
The correct answer is A.
A) The IQR of Karla's data in 13.
Step-by-step explanation:
The interquartile range can be defined as the difference of upper quartile and lower quartile range. If we want to find the IQR from the box plot, we can simply see the length of the box from the box plot, as it represent the IQR.
We can clearly see that:
IQR of Steve's data is 45 - 31 = 14, hence the second statement is incorrect
IQR of Karla's data is 52 - 39 = 13, hence the first statement is CORRECT
The difference of medians is 43 - 36 = 7
Hence the difference of medians is not the half or twice of IQR ranges of both data sets
Answer: B. 0.036
Step-by-step explanation:
Formula for standard error :

, where p = Population proportion and n= sample size.
Let p be the population proportion of the people who favor new taxes.
As per given , we have
n= 170

Substitute these values in the formula, we get

Hence, the standard error of the estimate is 0.036.
∴ The correct answer is OPTION B. 0.036