Unit One Flashcards

1
Q

Descriptive Statistics

A

Using only the information at hand to describe the selected group of individuals.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Inferential Statistics

A

Using the information at hand to make a larger, more general statement about the entire population of individuals.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the importance of statistics? What are the two types of statistics?

A

Statistics allows us to synthesize the information we get from the world around us.

There are two types of statistics.

Descriptive statistics describe information gathered at a particular point.

Inferential statistics gather information and then makes a generalization or prediction about the population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Statistical analysis

A

All the way s of collecting, analyzing, and interpreting the data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Statistical Study

A

A way to collect information from individuals

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Statistics

A

The study of collecting, analyzing, interpreting, and presenting information.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Data

A

Data is the pieces of information that we use in order to answer some statistical question. It could be a number or an attribute.

But ultimately its the pieces of information that we use to get a more accurate picture of a scenario.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Available data.

A

Available data is data that has already been collected by somebody.

Official Textbook Definition:

Data collected by some other entity- a government or private company.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Who collects data?

A
  • Government organizations
    -Polling Organizations
    -New Sources
    -Government Entities
    -Private Entities.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Raw Data

A

Un organized, unprocessed, and not summarized. Typically, this is data that is not already available.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Bias

A

The systematic favoring of certain outcomes in a study. There are many ways to introduce bias into a study.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Three common questions when collecting data are:

A
  1. Who will receive this data?
  2. For whom is the data intended?
  3. How will you and other gain access to it?
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Why is collecting data and the accuracy of this data so important?

A

Collecting data is important because it’s the source of statistics. Think about data as the raw means of creating something useful. If you collect your data well, the statistics are going to be accurate. If you collect your data poorly, then your data is poor. There’s no rescuing that.

You can’t make useful statistics out of poor data. Thinking critically will help you determine which type of data should be used for your purposes.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Qualitative/Categorial Data

A

Data whose values are the names of categories. These can be numbers, but not the kinds of numbers with which it makes sense to do any numerical operations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Two areas that qualitive data can be divided into.

A
  1. Nominal Measurements
  2. Ordinal Measurements.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Nominal Level of Measurement Meaning

A

Qualitive data where the order in which the categories are presented does not matter.

17
Q

Ordinal Level of Measurement

A

Qualitative data where the order in which the categories are presented matters.

17
Q

Continuous Data

A

Data that can take any value within an interval.

17
Q

Census

A

Using the entire population to obtain data.

17
Q

Quantitative Data

A

Data whose values are numbers and it makes sense to do numerical operations.

18
Q

Discrete Data

A

Data that can only take so many values.

18
Q

Population

A

The entire set of individuals from which to sample.

19
Q

Sample/Sampling

A

A subset of the population. There are many ways to select a sample.

20
Q

Representative Sample

A

A sample that accurately reflects the population.

21
Q

Random Sample

A

A sample that has been selected in a manner where every member of the population has some predetermined chance of being selected for the sample.

22
Q

Random Selection

A

The method of obtaining a random sample

23
Q

Probability Sampling Plan

A

The way to collect a random sample that guarantees a certain likelihood for each member of the population to be selected.

24
Q

Probability Sampling Plan

A

The way to collect a random sample that guarantees a certain likelihood for each member of the population to be selected.

25
Q
A