Step-by-step explanation:
incomplete question
you didnt give any choice to choose from
Answer:
The answer is Option E; both B and C are correct
Step-by-step explanation:
Both (b) and (c) are correct. Simpson's paradox is a paradox in which a trend that appears in different groups of data disappears when these groups are combined, and the reverse trend appears for the aggregate data. This result is often encountered in social-science and medical-science statistics, and is particularly confounding when frequency data are unduly given causal interpretations. Simpson's Paradox disappears when causal relations are brought into consideration.
Now, this question is an example of Simpsons paradox because the groups of collected data over a period of time from five major cities showed a trend that StatsAir does better overall, but this trend is reversed when the groups are studied separately to show that air median does better.
So, option B is correct.
Also, City is a variable that influences both the dependent variable and independent variable, causing a spurious association. That is it is the cause of why the 2 results are biased. Thus, city is a lurking variable.
So, option C is also correct
Answer:
m= -9
Step-by-step explanation:
-4(m+3)=24
Use distributive Property: -4m-12=24
Add 12 to both sides: -4m=36
Divide both sides by -4: m=-9
You can check the answer by plugging -9 into m on the original equation.
Answer:
about 98 percent
Step-by-step explanation:
about 78.09% of the atmosphere is nitrogen and 20.95% of oxygen so when we add 78 and 20 we get 98% .Therefore about 98%of the earth is composed of nitrogen and oxygen
Answer: 
Step-by-step explanation:
We know that the confidence interval for population standard deviation is given by :-
, where n= sample size
s = sample standard deviation.
and 
= Chi-square critical value for degree of freedom (n-1) and significance level (
).
Given : 
n= 16
Critical ch-square values for degree of freedom 15 and 
will be :
Then , the required 99% confidence interval for the population standard deviation will be :
Hence, the a 99% confidence interval for the population standard deviation :
