Answer:
37
Step-by-step explanation:
![f(4)=2(4)^2-3=\\\\2(16)-3=\\\\32-3=\\\\29\\\\g(29)=29+8=\\\\\boxed{37}](https://tex.z-dn.net/?f=f%284%29%3D2%284%29%5E2-3%3D%5C%5C%5C%5C2%2816%29-3%3D%5C%5C%5C%5C32-3%3D%5C%5C%5C%5C29%5C%5C%5C%5Cg%2829%29%3D29%2B8%3D%5C%5C%5C%5C%5Cboxed%7B37%7D)
Hope this helps!
Answer:
The correct definition of statistics is
B. Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw a conclusion and answer questions. In addition, statistics is about providing a measure of confidence in any conclusions.
Explanation:
Statistics is the science of collecting, organizing, summarizing, and analyzing the information and based on this information a conclusion is drawn about the collected information. There are two main divisions of statistics:
1. Descriptive statistics: It deals with providing the summary about the information collected.
2. Inferential statistics: This division deals with using a sample from the population and drawing the conclusion about the population using the sample. It also includes providing a measure of confidence in any conclusions.
Answer:
Yes it does
Step-by-step explanation:
The average is shifted to higher side if higher number is present in a data set.
suppose the following set of data
20, 40 , 60, 100
avergae of data= (20+40+60+100)/ 4 = 55
now suppose following set of data
20,40,60,1000
average of data= (20+40+60+1000)/4= 280
The answer is 75 because 180 is a full circle. so 180 minus 105 since it’s the opposite side which makes b 75
Correlation analysis is mostly used to determine whether a cause-effect relationship exists between two variables.
We have,
A statement to check which analysis is used by researcher,
So,
We know that,
The experimental method is the only method to attribute a cause and effect relationship as the researcher will hold one variable constant and 'experiment' with the other variable to see the effect.
Hence this is not upto the mark of given statement.
Now,
Regression analysis is used to determine the effect of one variable on the other.
Now,
We also know that,
Correlation analysis is mainly conducted by a researcher to determine whether a relationship exists between variables or not.
So,
The above mentioned statement satisfy the given statement.
Hence, we can say that the Correlation analysis is mostly used to determine whether a cause-effect relationship exists between two variables.
To learn more about Correlation analysis click here
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