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Statistics
Statistics
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1
Informs us about where an individual (or observation) stands in relation to a group
Covariance
Z-score
Standard Deviation
Variance
2
Test used for comparing the mean of the same group in the same scale in two different temporal moments
Paired-sample t-test
One-sample t-test
3
Summarizes some property of the distribution of a population
Sample statistic
Parameter
Point estimation
4
We study the effect of more than one predictor on the outcome
Multiple regression
Partial correlation
5
A standardized version of the covariance
Covariance-variance matrix
Coefficient of determination
Pearson's coefficient
6
In the regression line equation, b is ...
The intercept
Predicted value in the DV or outcome
The slope or regression coefficient
IV or predictor
7
Provides a visual depiction of the median, the interquartile range, and the range of the data
Density plots
Boxplots
Histogram
8
Error that occurs in the measurement process because of an uncalibrated instrument. Produce consistent error.
Random Error
Standard Error
Systematic Error
9
How to we calculate the "degree of freedom" in a t-test?
Number of observations - number of parameters to estimate
Number of parameters to estimate - number of observations
10
You predict a change in a score, but not in a direction
Two-tailed test
One-tail-test
11
Branch of statistics: organize, summarize, and communicate numerical information. We male claims about the sample
Descriptive Statistics
Inferential Statistics
12
The most frequent value in a dataset
Mode
Range
Median
Mean
13
The value (point estimation) from which on, we decide to reject the null hypothesis
P-value
Accumulated probability
Critical value
Significance value
14
The hypothesis that states the effect we believe to be true
Null hypothesis
Alternative hypothesis
15
If the normality assumption is not met in a one-sample t-test, which test can we use?
Student's test
Wilcoxon test
Sharpiro-Wilks test
16
Pearson's coefficient is always a number between ...
-1 and 1
0 and 1
-1 and 0
-2 and 2
17
Distribution with higher probability of extreme values
Platykurtic distribution
Leptokurtic distribution
Normal distribution
18
Values tend to concentrate on the right side of the figure
Positive ("right-skewed") distribution
Symmetrical distribution
Negative ("left-skewed") distribution
19
Concerning regression lines: How can we assess how good our model is at making predictions?
Compare it to the null model
Look at the line and analyze it visually
Compare it to the alternative model
20
Variables that can be categorized, ranked, and evenly spaced. But does NOT have a natural zero.
Ordinal Variables
Nominal Variables
Interval Variables
Ratio Variables
