Exam 1 Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

Scale Variable

A

A continuous variable where magnitude and order matter

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

Ordinal Variable

A

a categorical variable where the order matters but not the magnitude (ex. 1 is below average, 2 is average, and 3 is above average)

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

Nominal Variable

A

A categorical variable where order and magnitude don’t matter (ex. 1 is female, 2 is male)

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

Population

A

All members of interest

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

Sample

A

a sub group of members of interest

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

Population Mean Symbol

A

μ

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

Variance of population symbol

A

σ^2

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

Standard deviation of population symbol

A

σ

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

Sample mean symbol

A

x bar

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

Sample variance symbol

A

s^2

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

Sample standard deviation symbol

A

s

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

Is the word “data” plural or singular

A

plural

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

Sampling Error

A

Difference between the sample and the actual population

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

Which is better for skewed data: mean or median?

A

Median, because each data point has the same weight as another data point and is less impacted by outliers.

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

Positive skew

A

Hump is on the left and the tail is being pulled right

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Negative Skew

A

Hump is on the right and the tail is being pulled left

17
Q

Which gives you more information: covariance or correlation?

A

Both tell you what direction the variables go (together or opposite) but correlation gives you the magnitude of the direction they move together or apart in.

18
Q

Why do we use n-1 for sample calculations?

A

Accounts for the fact that there is some bias in the sample

19
Q

What does the sum of squares show?

A

Shows the total spread around the mean

20
Q

0.0-0.2

A

Very Weak Correlation Size of r

21
Q

0.2-0.4

A

Weak correlation size of r

22
Q

0.4-0.6

A

moderate correlation size of r

23
Q

0.6-0.8

A

strong correlation size of r

24
Q

0.8-1.0

A

very strong correlation size of r

25
Q

What are the 4 assumptions of a pearson correlation?

A

linearly related, continuous scale variable, normal distribution, no significant outliers

26
Q

What does IQR tell us and why is this better than range?

A

IQR is the range between 25th-75th percentile. This is better than range because it trims out the bottom and top 25%

27
Q

Why do we square root the variance?

A

to get back to the original units

28
Q

How many scores are within +/-1 SD in a normal distribution?

A

2/3

29
Q

How many scores are within +/-2 SD in a noraml distribution

A

95%

30
Q

How many scores are within +/-3 SD in a normal distribution

A

99.7%

31
Q

What is a standardized distribution?

A

a predetermined standard deviation and mean

32
Q

Cross-sectional study

A

looking at data from a single point in time

33
Q

Randomized controlled trial

A

randomly assigning people to a group with a control group and a test group

34
Q

Case Report

A

Serve to convey information to others and to catalog new ideas and information. Doesn’t contain high quality evidence.

35
Q

Prospective cohort study

A

observational and following a group of people into the future

36
Q

Case Control

A

anytime you’re seeing matching.

37
Q

Meta analysis

A

collecting and reviewing all relevant papers