This would be false even though the answers are similar they are not the exact same.
Answer:
1.11
Step-by-step explanation:
First, you ignore the absolute value sign and subtract normally: –9.23 – 1.79 = -11.02, –7.34 – 2.57 = -9.91. Then now you add the absolute value to the numbers: |-11.02| - |-9.91| = 11.02 - 9.91 = 1.11.
Answer:
And in the figure attached we see the limits with the percentages associated.
Step-by-step explanation:
For this case we know that the random variable of interest is the scores on a test given to all juniors in a school district follows a normal distribution with the following parameters:
For this case we know from the empirical rule that within one deviation from the mean we have approximately 68.2% of the data, within 2 deviations from the mean we have 95% and within 3 deviation 99.7%
We can find the limits and we got:
And in the figure attached we see the limits with the percentages associated.
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.
Let X = pounds of Bermuda grass needed.
(20 pounds bahia grass x $6.30) + ( X x $3.65) = (20 +X) x $4.90
Simplify:
126 + 3.65X = 98 + 4.90X
Subtract 3.65X from each side:
126 = 98 + 1.25X
Subtract 98 from each side:
28 = 1.25X
Divide both sides by 1.25
X = 28 / 1.25
X = 22.4 pounds required.
