2Chapter 5 questions

Question 1

What measure of central tendency is most appropriate for ordinal data?

Answer 1

median

Question 2

What measure of central tendency is most appropriate for interval data?

Answer 2

standard deviation

Question 3

How would adding 5 to every observation affect the mean of a variable?

Answer 3

Increase mean by 5

Question 4

How would adding 5 to every observation affect the variance of a variable

Answer 4

No effect

Question 5

How would multiplying 5 to every observation affect the variance of a variable?

Answer 5

No effect

Question 6

Which of the following symbols is used to represent the population variance?

Answer 6

o2

Question 7

Which of the following graphs produced by SPSS is most useful in identifying extreme outliers?

Answer 7

Boxplot

Question 8

Which of the following graphs produced by SPSS is most useful in examining the relationship between two variables?

Answer 8

Scatterplot

Question 9

The median is the value that…

Answer 9

divided the ordered dataset into two equal halves

Question 10

What is the interquartile range for a distribution with the following percentiles: P25=25, P50=50 P75=75

Answer 10

50

Question 11

The interquartile range allows one to make a statement about…

Answer 11

The middle 50% of observations

Question 12

what is the balancing point of the distribution

Answer 12

mean

Question 13

the arithmetic average

Answer 13

mean

Question 14

The mode is

Answer 14

the typical way of measuring central tendency for nominal data

Question 15

What is correct regarding variance?

Answer 15

The average of the squared deviations from the mean

Question 16

Which are measures of dispersion?

Answer 16

range, standard deviation, standard error of the mean

Question 17

what is leptokurtic

Answer 17

A description of the kurtosis in a distribution in which the statistical value is positive. Leptokurtic distributions have higher peaks around the mean compared to normal distributions, which leads to thick tails on both sides. These peaks result from the data being highly concentrated around the mean, due to lower variations within observations.

Read more: http://www.investopedia.com/terms/l/leptokurtic.asp#ixzz2JWmhCaiQ

Question 18

What is platykurtic?

Answer 18

A description of the kurtosis in a distribution in which the statistical value is negative. When compared to a normal distribution, a platykurtic data set has a flatter peak around its mean, which causes thin tails within the distribution. The flatness results from the data being less concentrated around its mean, due to large variations within observations.

Read more: http://www.investopedia.com/terms/p/platykurtic.asp#ixzz2JWn1WTio

Question 19

What is mesokurtic?

Answer 19

Definition of ‘Mesokurtic’
A term used in a statistical context where the kurtosis of a distribution is similar, or identical, to the kurtosis of a normally distributed data set. Kurtosis is a measure of a distribution’s peak, which means how much of the distribution is centered on the distributions mean.

Read more: http://www.investopedia.com/terms/m/mesokurtic.asp#ixzz2JWnJUZaH

Question 20

What is correct about skewness

Answer 20

Skewness measures deviations from perfect symmetry

Question 21

If a distribution were perfectly normal, the detrended Q-Q plot would show….

Answer 21

the popints would cluster in a horizontal band around y=0 with no pattern

Question 22

What kind of data uses P-P plots

Answer 22

nominal and ordinal level data