Question 1

Proportions and percentages,ratios and rates are all ways of expressing

Accepted Answer

A) concise distributions of a variable. 
B) data without leaving out any details. 
C) relative frequencies. 
D) raw frequencies. 
A) concise distributions of a variable. 
B) data without leaving out any details. 
C) relative frequencies. 
D) raw frequencies.

Question 2

$\begin{array}{|l|l|l|}
\hline\text {TABLE 2.2 AGES OF  }\
\text {RESPONDENTS  }\
\hline \text { Class Intervals } & \text { Frequency } & \text { Percentages } \
\hline 18-23 & 5 & \
\hline 24-29 & 21 & \
\hline 30-40 & 10 & \
\hline \text { TOTAL } & 36 & \
\hline
\end{array}$
If we added a cumulative percentage column to Table 2.2 and began our calculations with the 18-23 interval,the entry in the 30-40 interval would be

Accepted Answer

A) 10%. 
B) 33.3%. 
C) 37%. 
D) 100%. 
A) 10%. 
B) 33.3%. 
C) 37%. 
D) 100%.

Question 3

The homicide rate for a city is reported as 23.89.This means that

Accepted Answer

A) for every homicide,there were 23.89 victims. 
B) for every 100,000 people in the population there were 23.89 homicides. 
C) the homicide rate is rising. 
D) there was an average of 23.89 homicides each month. 
A) for every homicide,there were 23.89 victims. 
B) for every 100,000 people in the population there were 23.89 homicides. 
C) the homicide rate is rising. 
D) there was an average of 23.89 homicides each month.

Question 4

When constructing frequency distributions for variables measured at the interval-ratio level,approximate interval size (or interval width)can be found by

Accepted Answer

A) dividing sample size (N)by 10. 
B) multiplying the number of categories by the lowest score. 
C) dividing the range by the sample size (N). 
D) dividing the range (R)by the number of categories (k). 
A) dividing sample size (N)by 10. 
B) multiplying the number of categories by the lowest score. 
C) dividing the range by the sample size (N). 
D) dividing the range (R)by the number of categories (k).

Proportions and percentages,ratios and rates are all ways of expressing

TABLE 2.2 AGES OF RESPONDENTS Class Intervals Frequency Percentages 18-23 5 24-29 21 30-40 10 TOTAL 36 If we added a cumulative percentage column to Table 2.2 and began our calculations with the 18-23 interval,the entry in the 30-40 interval would be

The homicide rate for a city is reported as 23.89.This means that

When constructing frequency distributions for variables measured at the interval-ratio level,approximate interval size (or interval width)can be found by

Introduction

Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction in Inferential Statistics, the Sampling Distribution, and Estimation

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 2: Basic Descriptive Statistics: Percentages Ratios and Rates Frequency Distributions

Proportions and percentages,ratios and rates are all ways of expressing

TABLE 2.2 AGES OF RESPONDENTS Class Intervals Frequency Percentages 18-23 5 24-29 21 30-40 10 TOTAL 36 If we added a cumulative percentage column to Table 2.2 and began our calculations with the 18-23 interval,the entry in the 30-40 interval would be

The homicide rate for a city is reported as 23.89.This means that

When constructing frequency distributions for variables measured at the interval-ratio level,approximate interval size (or interval width)can be found by

Introduction

Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction in Inferential Statistics, the Sampling Distribution, and Estimation

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and Multiple Regression and Correlation

Filters