Summarizing And Comparing Distributions

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/37

encourage image

There's no tags or description

Looks like no tags are added yet.

38 Terms

1
New cards

Descriptive Statistics

quantitatively describes or summarizes features from data in a compact, easily understood fashion

2
New cards

Discrete variables

Frequency = count

3
New cards

Continuous variables

Density

4
New cards

Between-Group design

participants are randomly assigned to one of two experimental conditions

5
New cards

Scale Score

composite variable computed by summing or averaging the responses to questionnaire items measuring the same construct NUMERIC VARIABLE!

6
New cards

Distributions

describe the concentration of different score values on the same variable ● EX) graph, table, or mathematical function

7
New cards

3 characteristics of Distributions

1) Center

2) Spread

3) Shape

8
New cards

Center of Distribution

represents a common or typical score value

9
New cards

Spread of Distribution

captures the degree to which scores are similar or different

10
New cards

Shape of Distribution

describes the symmetry or asymmetry of scores; characterized by the concentration of scores at different values

11
New cards

High spread indicates

indicates different scores

12
New cards

Low spread indicates

indicates similar scores

13
New cards

Normal Distribution

describes many physical, physiological, and psychological traits

14
New cards

Symmetric Distribution

left side mirrors right side

15
New cards

Negatively Skewed Distribution

Most scores are in the high range, and lower scores in the lower tail are less frequent. It is also called a left-skewed distribution.

16
New cards

Positively Skewed Distribution

Most scores are in the low range, and higher scores in the upper tail are less frequent. It is also called right-skewed distribution.

17
New cards

Uniform Distribution

all scores are equally likely; no single score occurs more frequently than others

18
New cards

Skewness

asymmetry (positive or negative)

19
New cards

Kurtosis

excessive peakedness (positive values) or flatness (negative values)

20
New cards

Normal distribution and Uniform distribution has a skewness of

0

21
New cards

Normal Distribution has a kurtosis of

0

22
New cards

Negatively Skewed Distributions have a skewness value greater or less than 0?

less than 0

23
New cards

Positively Skewed Distributions have a skewness value greater or less than 0?

greater than 0

24
New cards

In a frequency distribution, which quantity describes the number of respondents providing a particular response?

c) Count (Frequency)

25
New cards
<ol><li><p><span style="background-color: transparent;">Which of the following frequency tables is correct?&nbsp;</span></p></li></ol><p></p>
  1. Which of the following frequency tables is correct? 


d

26
New cards
<ol><li><p><span style="background-color: transparent;">Consider the following frequency distribution for a survey question asking about the participants’ highest level of education (the Frequency column is the same as the Count).&nbsp; What is the value for the percent in the cell labeled X?</span></p></li></ol><p></p>
  1. Consider the following frequency distribution for a survey question asking about the participants’ highest level of education (the Frequency column is the same as the Count).  What is the value for the percent in the cell labeled X?


83

27
New cards

A researcher for an ice cream company has a sample of customers taste three flavors of ice cream: vanilla, chocolate, and strawberry. After they taste the flavors, the researcher asks each customer which flavor was their favorite, and then she records the flavor each person said they liked the most. If the researcher wants to display the distribution of the customers’ responses in a figure, what should she use? Select all that apply.

b) Frequency distribution table

d) Bar plot

28
New cards

If a distribution is flatter than a normal distribution, the kurtosis is

d) negative

29
New cards

If a distribution is negatively skewed, the kurtosis is

a) We don’t know

30
New cards

If a distribution is negatively skewed, the skewness is

d) negative

31
New cards

The higher the density, the:

d) more often/likely it is to observe some value

32
New cards

Which of the following are symmetric distributions? Select all that apply.

b) Uniform Distributions

c) Normal Distributions

33
New cards

When a distribution has skewness above 2, which of the following is true?

c) It is right-skewed

34
New cards

A study of post-partum depression found a relatively even number of mothers with low, moderate, and high depression levels. What distribution shape best describes the depression variable?

c) Uniform

35
New cards

Which statement correctly describes how categories should be ordered when displaying nominal and ordinal variables in a bar plot?

a) Categories can be arranged arbitrarily for nominal variables, but ordinal variables should preserve their meaningful order

36
New cards
<p>.A clinical psychologist is studying a new depression treatment. If the new treatment is more effective than a control condition, which of the following should be true (a lower score indicates less depressed)?</p>

.A clinical psychologist is studying a new depression treatment. If the new treatment is more effective than a control condition, which of the following should be true (a lower score indicates less depressed)?

a

37
New cards
<p><span style="background-color: transparent;">A survey uses a 7-point Likert scale to measure attitudes toward having a final project instead of a final exam. Which of the following is true if the survey question elicits high variability?</span></p><p></p>

A survey uses a 7-point Likert scale to measure attitudes toward having a final project instead of a final exam. Which of the following is true if the survey question elicits high variability?


b

38
New cards

The largest value in cumulative % should be 100%

true