Chapter 1: Intro to Statistics Flashcards

1
Q

Define statistic

A

Statistics is a branch of mathematics that involves the collection, analysis, and interpretation of data.

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

Name:

-Summarize, simplify, and describe a group of numbers (data) such as the results of a research study
-Based on a collection of raw scores (dataset)
-Organize & simplify

What are the results?

A

Descriptive statistics

-Central tendency & variability

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

Name:

Procedures that allow researchers to draw conclusions and inferences that are based on the numbers from a research study, but go beyond these data

-Interpret results

A

Inferential statistics

-Are the results significant? Due to chance?
-Answer is based on statistical tests of significance

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

What is a population?

A

The entire set of things of interest

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

What is a sample?

A

The subset of the population from which you get information

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

Fill in the blank:

BLANK BLANK include the mean, variance
and standard deviation computed from a
known sample

BLANK BLANK are often the unknown
measures that are estimated from the sample

Describe the BLANK, infer the population

A

-Sample statistics
-Population parameters
-Sample, population

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

What does random sampling involve?

A

Sampling error

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

What is sampling error?

A

The natural differences that exist, by chance, between a sample statistic and a population parameter.

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

Name:

A value that does not change

A

Constant

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

Name:

Characteristics that can take on any number of different values (at least 2)

A

Variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Name:

A particular value on a variable

A

Score

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

Complete the sentence and elaborate:

CAUSATION CAN NEVER BE INFERED FROM A BLANK

A

-Correlation
-No causal inference (no control)

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

What does the concept of a correlational study and tendency imply?

A

-An association/relation between two variables of interest
-Cannot infer causation
-may be due to a third unknown variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is an independent variable?

A

A variable that an experimenter manipulates.

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

What is an dependent variable?

A

-A variable that an experimenter predicts will be affected by manipulation of the IV
-Participant’s response

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

What is an experimental study?

A

-Can infer a causal relation between the two variables of interest
-may be due to a third unknown variable

16
Q

What is a discrete variable?

A

-Finite, indivisible values (whole #’s)
-Qualitative variables (sex, medical condition)
-Categorical

17
Q

What is a continuous variable?

A

-Infinite, divisible values (fractions)
-Quantitative variables (height/weight)
-Noncategorical

18
Q

Name and give examples:

-Values are names, categories, labels
-No quantitative distinctions

A

-Nominal scale (scale of measurement)

Ex- gender, diagnosis, experimental or control

19
Q

Name and give examples:

-Categorizes observations
-Categorizes organized by size or magnitude

A

-Ordinal scale (scale of measurement)

Ex- rank in class, clothing sizes (S,M, L, XL), Olympic medals

20
Q

Name and give examples:

-Ordered categories
-Interval between categories of equal size
-Arbitrary or absent zero point

A

-Interval scale (scale of measurement)

Ex- temperature, IQ, golf scores (above/below par)

21
Q

Name and give examples:

-Ordered categories
-Equal interval between categories
-Absolute zero point

A

-Ratio scale (scale of measurement)

Ex- Number of correct answers, time to complete task, gain in height since last year

22
Q

What boundaries are continuous variables defined by?

Located halfway between 2 adjacent scores

When measuring weight to the nearest whole pound, 149.6 and 150.3 are assigned the value of BLANK

Any value in the interval between 149.5 and 150.5 is given the value of BLANK

A
  • Real limits
  • 150
  • 150
23
Q

Statistical notation-

Fill in the blank:
X= BLANK
Y= BLANK
N= BLANK (n for BLANK)
Σ = BLANK

A
  • Independent variable
  • Dependent variable
  • # of raw scores, sample
  • Summation sign (sigma)