Question 1

Which of the following statements is false?

Accepted Answer

A)  All calculations are permitted on numerical (quantitative) data 
B)  All calculations are permitted on nominal (categorical) data 
C)  The most important aspect of ordinal data is the order of the data values. 
D)  The only permissible calculations on ordinal data are ones involving a ranking process. 
A)  All calculations are permitted on numerical (quantitative) data 
B)  All calculations are permitted on nominal (categorical) data 
C)  The most important aspect of ordinal data is the order of the data values. 
D)  The only permissible calculations on ordinal data are ones involving a ranking process.

Question 2

The ages of 25 salespersons in an organisation are given below. $$\begin{array} { | l | l | l | l | l | l | l | l | l | l | } 
\hline 47 & 21 & 37 & 53 & 28 & 40 & 30 & 32 & 34 & 26 \
\hline 34 & 24 & 24 & 35 & 45 & 38 & 35 & 28 & 43 & 45 \
\hline 30 & 45 & 31 & 41 & 56 & & & & & \
\hline
\end{array}$$ Construct an ogive for the data, and estimate the proportion of salespersons that are:
a. less than 30 years of age.
b. more than 40 years of age.
c. between 40 and 50 years of age.

Accepted Answer

@#IMG-DLM& a. 0.24.
b. 1 - 0.6

Question 3

Which of the following is the most important and commonly used graphical presentation of numerical (quantitative) data?

Accepted Answer

A)  Bar chart. 
B)  Histogram. 
C)  Pie chart. 
D)  Ogive. 
A)  Bar chart. 
B)  Histogram. 
C)  Pie chart. 
D)  Ogive.

Question 4

The frequency distribution of the number of years of service for 100 employees is shown below. $$\begin{array} { | c | c | } 
\hline \text { Years } & \text { Frequency } \
\hline 0 \text { up to } 5 & 12 \
\hline 5 \text { up to } 10 & 16 \
\hline 10 \text { up to } 15 & 42 \
\hline 15 u p \text { to } 20 & 20 \
\hline 20 \text { up to } 25 & 10 \
\hline \text { Total } & 100 \
\hline
\end{array}$$ a. Estimate the proportion of employees who have fewer than 10 years of service.
b. Estimate the proportion of employees who have more than 20 years of service.
c. Estimate the proportion of employees who have between 10 and 20 years of service.

Accepted Answer

a. 0.28.
b. 1 - 0.90

Which of the following statements is false?

Which of the following is the most important and commonly used graphical presentation of numerical (quantitative) data?

What Is Statistics

Types of Data, Data Collection and Sampling

Graphical Descriptive Methods Nominal Data

Numerical Descriptive Measures

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Introduction

Sampling Distributions

Estimation: Describing a Single Population

Estimation: Comparing Two Populations

Hypothesis Testing: Describing a Single Population

Hypothesis Testing: Comparing Two Populations

Inference About Population Variances

Analysis of Variance

Additional Tests for Nominal Data: Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Model Building

Nonparametric Techniques

Statistical Inference: Conclusion

Time-Series Analysis and Forecasting

Index Numbers

Decision Analysis

Filters

Exam 4: Graphical Descriptive Techniques Numerical Data

Which of the following statements is false?

Which of the following is the most important and commonly used graphical presentation of numerical (quantitative) data?

What Is Statistics

Types of Data, Data Collection and Sampling

Graphical Descriptive Methods Nominal Data

Numerical Descriptive Measures

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Introduction

Sampling Distributions

Estimation: Describing a Single Population

Estimation: Comparing Two Populations

Hypothesis Testing: Describing a Single Population

Hypothesis Testing: Comparing Two Populations

Inference About Population Variances

Analysis of Variance

Additional Tests for Nominal Data: Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Model Building

Nonparametric Techniques

Statistical Inference: Conclusion

Time-Series Analysis and Forecasting

Index Numbers

Decision Analysis

Filters