Answer:
Not sure
Step-by-step explanation:
Usually, the terms “data” and “information” are used interchangeably. However, there is a subtle difference between the two.
In a nutshell, data can be a number, symbol, character, word, codes, graphs, etc. On the other hand, information is data put into context. Information is utilised by humans in some significant way (such as to make decisions, forecasts etc).
A basic example of information would be a computer. A computer uses programming scripts, formulas, or software applications to turn data into information.
Let us have a detailed look at the difference between data and information in a tabular column below
Answer:
a. P= 0.6364
b. P = 0.3636
c. Q = $21.25
d. P = 0.5
Step-by-step explanation:
given data
value of a stock varies = $13 to $24
solution
P (stock value is more than $17)
P = 
P = 
P = 0.6364
and
P (value of the stock is between $17 and $21)
P = 
P = 
P = 0.3636
and
Let the upper quartile be Q


(24 - Q) = 2.75
so
Q = $21.25
and
P(X > 20 | X > 16)
P = 
P = 
P = 0.5
You just add the thickness of the 2 books which is 237+3.56=240.56
Then you round the hundredth place which is 5 and next to it is the number 6 and that’s 5+ so it’s going up by a number. The answer is 240.6 inches tall. I tried explaining it well so sorry if you didn’t understand.
Answer:
1. single sample design
2. matched pairs
3. two independent samples.
Step-by-step explanation:
the response variable is known as the dependent variable, it is the variable that the researcher is interested i finding. the response variable is the x variable that responds to changes in the independent variable.
1.
In this question the researcher has only one sample that is the specimen. that is the reference specimen that she obtained. Therefore it is a single sample design.
the response variable here is the measurement of concentration.
2. In this question we have two pairs, men and women. The researcher is interested in comparing attitudes as she interviews them. so response variable is attitude or behavior
3. this is a 2 independent sample design. The researcher is using two different methods to test and their average is being compared.