Answer:
1. A. Quantitative data
B. Quantitative data
C. Qualitative data
D. Quantitative data
E. Qualitative data
F. Quantitative data
2.a. Yearly salaries: interval or ratio data
b. Employee numbers: interval or ratio data
c. Area codes : nominal data
d. The ages: interval or ratio data
e. Survey answers: ordinal data
f. IQ index: interval or ratio data
Explanation:
Qualitative data is data in the form of a quality such as a characteristic. It is usually a noun, such as whether a person is fair or dark in complexion. Quantitative data is data in form of quantity such as the amount in dollars of one's salary.
There are four levels of data measurement. They are: nominal data, ordinal data, interval data, and ratio data. Nominal and ordinal data are qualitative data while interval and ratio data are quantitative data.
B(Bread) D(Drink) M(Meat)
B1+D1+M1
B1+D1+M2
B1+D1+M3
B1+D2+M1
B1+D2+M2
B1+D2+M3
B1+D3+M1
B1+D3+M2
B1+D3+M3
B2+D1+M1
B2+D1+M2
B2+D1+M3
B2+D2+M1
B2+D2+M2
B2+D2+M3
B2+D3+M1
B2+D3+M2
B2+D3+M3
Making there be 18 different combinations.
Answer:
show us a screenshot or image
or type it out, copy paste
Step-by-step explanation:
ANSWER
EXPLANATION
We were given that
varies directly as
We can write this mathematically as,
This implies that,
where k is the constant of variation.
This implies that,
The equation becomes
When
Answer:
Statements I and II
Step-by-step explanation:
In Statistics, parameter is any numerical value that characterizes a population while statistics are numerical values that characterizes a sample from a given population.
Statistics are most often used to estimate the population parameters
For example the sample mean is a statistic and the population mean is a paranmeter
The mean SAT score of all students from New York is the parameter.
The mean SAT score of 105 students from New York is called the statistic.
The correct choice is the third option.
