EXST 2201 EXAM QUESTIONS AND ANSWERS WITH COMPLETE
SOLUTIONS VERIFIED
Statistics
The science of Collecting, Organizing and Summarizing, and Analyzing information in
order to draw conclusions
Sampling
Techniques used to collect information
Descriptive Statistics
- Techniques used to condense and describe sets of data
- Major techniques are frequency table, histogram, and summary numbers
- These are Organizing and Summarizing Techniques
Inferential Statistics
- Techniques used to systematically draw conclusions about a population from a set of
sample data
- Refers to methods used to interpret data. The goal is generalization of information
about a sample to information about a population.
- this generalization may lead to incorrect conclusions, so inferential statistics uses the
mathematics of probability to quantify the lack of certainty by stating a level of
confidence in a conclusion.
- Major tools are hypothesis testing and confidence intervals
- These are Analyzing techniques.
Statistical Methods
, Combination of the descriptive and infertile techniques.
Population
-The totality of elements in a well-defined group to be studied.
- be specific in the sense of what truly belongs to the population and what isn't included
in the given population.
Sample
- A subset of a population
- The larger the size, the better
Individual
- one object from the population
Goals of Sampling
1.) A measurable number of individuals
2.) Representative of the population
Basic Techniques
- simple random sampling, stratified sampling,
systematic sampling, and cluster sampling
How can sampling be done?
- With replacement.
- Without replacement
(NOTE WE ASSUME REPLACEMENT SAMPLING IN THIS CLASS.)
Simple Random Sampling
- A method of choosing a sample such that each sample of the same size has the same
chance of being chosen.
SOLUTIONS VERIFIED
Statistics
The science of Collecting, Organizing and Summarizing, and Analyzing information in
order to draw conclusions
Sampling
Techniques used to collect information
Descriptive Statistics
- Techniques used to condense and describe sets of data
- Major techniques are frequency table, histogram, and summary numbers
- These are Organizing and Summarizing Techniques
Inferential Statistics
- Techniques used to systematically draw conclusions about a population from a set of
sample data
- Refers to methods used to interpret data. The goal is generalization of information
about a sample to information about a population.
- this generalization may lead to incorrect conclusions, so inferential statistics uses the
mathematics of probability to quantify the lack of certainty by stating a level of
confidence in a conclusion.
- Major tools are hypothesis testing and confidence intervals
- These are Analyzing techniques.
Statistical Methods
, Combination of the descriptive and infertile techniques.
Population
-The totality of elements in a well-defined group to be studied.
- be specific in the sense of what truly belongs to the population and what isn't included
in the given population.
Sample
- A subset of a population
- The larger the size, the better
Individual
- one object from the population
Goals of Sampling
1.) A measurable number of individuals
2.) Representative of the population
Basic Techniques
- simple random sampling, stratified sampling,
systematic sampling, and cluster sampling
How can sampling be done?
- With replacement.
- Without replacement
(NOTE WE ASSUME REPLACEMENT SAMPLING IN THIS CLASS.)
Simple Random Sampling
- A method of choosing a sample such that each sample of the same size has the same
chance of being chosen.
