MTH160 - Exam1Vocab

Question 0

Parameter

Answer 0

A parameter is a numerical summary from a population and is typically theoretical. It also uses greek letters. For example, theta = 4.0in.

Question 1

Statistics as a course of study

Answer 1

Statistics is the collection, organization, and interpretation of data.

Question 2

Statistic

Answer 2

A statistic is a numerical summary based on a sample and it uses english letters. For example, S= 5.1in.

Question 3

Population

Answer 3

A population is an entire group of individuals to be studied.

Question 4

Sample

Answer 4

A sample is a subset of the population that is being studied. However, you only need 900-1200 individuals for a sample.

Question 5

Experiment

Answer 5

An experiment is a data collection method in which the tester has the ability to change the experiment. In other words, the tester has the ability to oppose treatment.
- any process or study that results in a collection of data and the researcher has control

Question 6

Survey

Answer 6

A survey is the after the fact data collection. In other words, their is no imposed treatment.

Question 7

Descriptive Statistics

Answer 7

Descriptive statistics describes the sample through numerical summaries, tables, and graphs.

Question 8

Inferential Statistics

Answer 8

Inferential statistics takes sample information and makes predictions about the population.

Question 9

Qualitative data

Answer 9

Qualitative data is descriptive and TYPICALLY non-numeric. This type of data describes or categorizes the subject. It i arithmetic useless. For example, social security number and hair color.

Question 10

Quantitative Data

Answer 10

Quantitative Data is always numerical in nature and is arithmetic useful.

Question 11

Ordinal

Answer 11

Ordinal data is a type of qualitative data where orders imply. For example, places in a race.

Question 12

Nominal

Answer 12

Nominal data is a type of qualitative data where no order is implied. For example, shirt color.

Question 13

Discrete

Answer 13

Discrete data is a type of quantitative data that is countable and infinite. For example, this has to be a number that you can count, like students in a classroom.

Question 14

Continuous

Answer 14

Continuous data is a type of quantitive data that is uncountable, infinite, and has no gaps For example, measuring height.

Question 15

Simple Random Sample (SRS)

Answer 15

A SRS is a data collection method in which every element of the population has an equal chance for selection on every draw.

Question 16

Volunteer Sample (VRS)

Answer 16

A VRS is where subjects volunteer to give data.

Question 17

Convenience Sample

Answer 17

A Convenience Sample is when subjects in a sample are chosen because of their convenience. Time and proximity are favorable traits for this type of data. Therefore, anyone who uses this type of sampling should be skeptical.

Question 18

Bias

Answer 18

Bias is a systematic favoring of an income and is very predictable. Bias occurs mostly in volunteer sampling and convenience sampling.