Question

1) According to the Decision Making with Statistics lectures, which types of data are most useful when applying ordinary arithmetic operations?

a)Categorical data

b)Nominal data

c) Catatonic data

d) Quantitative

2) According to the Decision Making with Statistics lectures, what best differentiates Interval and Ratio scales?

a)Ratio scales have an absolute zero.

b)Ordinal scales have an absolute zero

c)The zero point is always twice the standard deviation

d) Interval scales have an absolute zero

3) According to the Decision Making with Statistics lectures, what kind of scale best describes the sections in store such as produce, dairy, and frozen foods?

a)Catatonic

b)Ratio

c)Interval

d)Nominal

4) According to the Decision Making with Statistics lectures, which best describes a strong negative Pearson correlation coefficient?

a)0

b)-2

c)-1

d)+1

5) According to the Decision Making with Statistics lectures, what is an unusually small or large value in a data set?

a)Inlier

b)Outlier

c)X-Score

d)Z-Score

6) According to the Decision Making with Statistics lectures, which is the strongest relationship between two variables as expressed by a Pearson correlation coefficient?

a)0

b)+2

c)-.75

d)+.65

Answer 1

#1)  Quantitative data are numeric , so we can apply ordinary arithmetic operations on the quantitative data .

Answer : d) Quantitative

#2) Ratio scale possess all of the features of the interval level, in addition to a zero value.

Answer : a)Ratio scales have an absolute zero.

#3) When measuring using a nominal scale, one simply names or categorizes responses.
For example : Gender, favorite color, religion

Answer : d)Nominal

#4) Pearson correlation coefficien ranges between -1 and 1

Answer : c) -1

#5) An unusually small or large value in a data set known as an Outlier

Answer : b)Outlier

# 6) The strength of relationship between two variables is not depend on sign of Pearson correlation coefficient, its depends on the higher magnitude.

Answer : c) -.75