Exam 3 Flashcards

(55 cards)

1
Q

Describes the sample (can be known)

A

Statistic

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2
Q

Describes the population (usually can’t be known)

A

Parameter

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3
Q

Allows you to make predictions from data; you take data from samples and make generalizations about a population

A

Inferential Statistics

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4
Q

Simply summaries data in a meaningful way

A

Descriptive Statistics

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5
Q

Taking statistics from your sample data and using it to say something about a population parameter

A

Estimating parameters

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6
Q

Assumes no difference or association between the populations from which samples are drawn; to-be-tested hypothesis

A

Null Hypothesis (H0)

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7
Q

Is accepted (NOT PROVEN) if evidence suggests results obtained would be unlikely if the null hypothesis were true; assumes some difference or association

A

Alternative Hypothesis (H1)

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8
Q

Independent variable will have an effect on the dependent variable for the population….

A

Alternative Hypothesis (H1)

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9
Q

What are the three components of writing a hypothesis?

A
  1. Specificity
  2. Clarity
  3. Testability
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10
Q

Assigning values (numbers) to objects or events based on agreed-upon rules

A

Measurement

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11
Q

Obtain values from a device (ruler, visipitch, spectrograph)

A

Instrumental

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12
Q

Trained individual judges quality or occurrence of events (e.g. severity ratings, stuttering frequency)

A

Observational

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13
Q

T/F: A behavioral test instrument may yield observational data.

A

TRUE

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14
Q

What is the order of level of measurements from weakest to strongest?

A

Nominal, ordinal, ration, and interval

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15
Q

Categorical - items are assigned to different, mutually exclusive categories. Ex. religion, gender, ethnicity

A

Nominal Scale

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16
Q

Ordinal, interval, and ration are all termed….

A

Continuous (things can be ordered)

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17
Q

You can’t tell if the difference between times is equal from one rank to the next (ex. severity index, size, stimulus complexity, class rank)

A

Ordinal Data

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18
Q

Constant distance between equal intervals on the scale is maintained (2-1 = 3-2)

A

Interval Scale

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19
Q

Can identify equivalent ratio values across the scale; One thing IS twice as much as something else; a true zero point exists

A

Ratio Scale

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20
Q

Indicates how likely it is that a result occurred by chance alone; measures the strength of the evidence against the null hypothesis

A

Probability value

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21
Q

T/F: Smaller p-value indicates stronger evidence against the null hypothesis.

A

TRUE

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22
Q

Nondirectional; null hypothesis of no difference (or association); alternative hypothesis - a difference exists

A

Two-tailed test

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23
Q

Directional; alternative hypothesis - goes in only one direction; null hypothesis, no difference

A

One-tailed test

24
Q

T/F: One tailed test tends to ignore evidence in the wrong direction

25
T/F: Two-tailed test is more conservative (safer)
TRUE
26
Assumes that the population measured is normally distributed (bell-shaped, not skewed, not too peaky or flat)
Parametric Tests
27
Informally describes the degree to which the distribution is symmetrical
Skewness
28
Informally, describes the "peakedness" and the shape of the tails of the distribution
Kurtosis
29
Direction of the relationship
Sign (positive or negative)
30
Degree of predictability
Strength
31
y tend to increase when x increases is…..
Positive association
32
y tends to decrease when x increases
Negative Association
33
Score on x tells you nothing about what the corresponding score on y is likely to be (no positive or negative trend is visible in the plot of the paired points)
No association
34
What tell you how much information knowing one variable gives you about the other - whether positive or negative
Strength of Association
35
When the correlation between two variables is caused by another (third) variable, with which both are correlated
Third Variable Effect
36
Want to know whether there is a relationship between two things - both continuous
Associations
37
Want to know whether differences in performance can be found - across groups or tasks
Difference
38
When are independent sample t-tests used?
When comparing the mean of one population to the mean of another population
39
When are paired sample t-tests used?
When interested in the difference between two variables for the sample population
40
What we really want to know
Population Parameters
41
What we can know
Statistics of Samples
42
P-value is less than or equal to 0.05 means...
Statistically significant
43
P-value is greater than 0.05 means...
Not significant
44
Two groups differ without specifying direction
two-tailed hypothesis
45
the mean in a sample group will be less than the mean in a comparison group
one-tailed hypothesis
46
Does positive skew lean towards the left or to the right?
Right
47
Does negative skew lean towards the left or the right?
Left
48
Non-parametric version of correlation; does not assume normal distribution; requires ordinal data
Spearman's Rho
49
Parametric statistic; requires interval or ratio data; assumes a normal distribution and equal variance for each variable; range -1 to 1
Pearson's r
50
What type of question is.... Are scores on tests of phonological awareness predictive of later reading ability?
Association
51
What type of question is..... Do subjects perform better on a task following training?
Difference
52
one independent variable with more than two levels
One-way ANOVA
53
used to determine which pairs of means are significantly different from each other
Post-hoc Tests
54
Allows the researcher to manipulate two factors at a time; two independent variables
Two-way ANOVA
55
more than two independent variables
Three-way ANOVA