STAT Module 1 Review

What is statistics?

• The study encompasses the major areas of micros, which explores how people and firms produce and consume goods and services, and macros, which explores mass progress and inter-country trade.

• A branch of mathematics that studies the manipulation of statements within algebraic structures.

• A collection of procedures and principles for gathering data and analyzing information in order to help people make decisions when faced with uncertainty.

• The study of the basic ideas about knowledge, truth, right and wrong, religion, and the nature and meaning of life.

What is the difference between descriptive and inferential statistics?

• Descriptive statistics consists of methods for summarizing data that would enable researchers to visualize patterns; Inferential statistics are techniques that allows us to use small groups to generalize about a larger group.

• Descriptive statistics is a collection of procedures s for gathering data in order to help people make decisions; Inferential statistics consists of methods for summarizing data that would enable researchers to visualize patterns.

• Inferential statistics consists of methods for summarizing data that would enable researchers to visualize patterns; Descriptive statistics are techniques that allows us to use small groups to generalize about a larger group.

• Inferential statistics is a collection of procedures s for gathering data in order to help people make decisions; Descriptive statistics consists of methods for summarizing data that would enable researchers to visualize patterns.

Define population.

• the complete collection of all data to be sampled.

• sub-collection of members selected from a larger group.

• sub-collection of members selected from a smaller group.

• the complete collection of all data to be studied.

Define sample.

• the complete collection of all data to be sampled.

• sub-collection of members selected from a larger group.

• sub-collection of members selected from a smaller group.

• the complete collection of all data to be studied.

Match the following.

• Population

• Sample

• Statistic

• Data

• collections of measurements

• Parameter

Match the following types of data to their correct example.

• quantitative discrete

• ex. days of the week or yes/no

• quantitative continuous

• ex. 56 or 7,302,006

• categorical

​ Quantitative data that is countable is called​ (a) _____ ​ . Quantitative data that can assume any numerical value over a certain interval or intervals is called ​(b)_____ . (c)_____ consist of names or labels that are not numbers representing counts or measurements

• (a) discrete data

  (b) continuous data

  (c) categorical data

• (a) continuous data

  (b) categorical data

  (c) discrete data

• (a) categorical data

  (b) continuous data

  (c) discrete data

• (a) continuous data

  (b) discrete data

  (c) categorical data

Which sample technique is defined below?

Every possible sample of the size we plan to draw has an equal chance to be selected, especially when the entire population is available.

• Convenience Sampling

• Cluster Sampling

• Systematic Sampling

• Simple Random Sampling

• Stratified Sampling

Which sample technique is defined below?

Each element of the population is numbered and every k^th element is selected.

• Convenience Sampling

• Cluster Sampling

• Systematic Sampling

• Simple Random Sampling

• Stratified Sampling

Which sample technique is defined below?

The population is subdivided into at least two different subgroups that share the same characteristics; then, simple random sampling is used from each subgroup before the results are combined.

• Convenience Sampling

• Cluster Sampling

• Systematic Sampling

• Simple Random Sampling

• Stratified Sampling