What is the purpose of inferential statistical tests?

5 Stats - Inferential Statistics

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College Sam
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To describe the data collected from a sample.
To analyze the variability within a sample dataset.
To determine the correlation between variables.
To make inferences about a population from a sample of that population.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the two key concepts in inferential statistics?
Standard error and confidence intervals.
Null hypothesis and sampling distributions.
P-values and null hypothesis significance testing (NHST).
Variance and effect sizes.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Who introduced the concept of p-values?
Karl Pearson.
Ronald Fisher.
Francis Galton.
Charles Spearman.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a p-value illustrate?
The variability in sample data.
The probability that the null hypothesis is true.
How well sample data support the view that the null hypothesis is true.
The range of potential outcomes in a dataset.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the null hypothesis represent?
The presence of a significant effect.
A state of no effect or no difference.
The expected variability within a dataset.
The assumption of a directional relationship.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main idea behind null hypothesis significance testing (NHST)?
To test if a sample mean equals the population mean.
To assume no effect until evidence demonstrates otherwise.
To compare confidence intervals between groups.
To analyze variability within the data distribution.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why does science adopt a skeptical starting point like the null hypothesis?
Because evidence-based conclusions are often subjective.
To ensure the validity of alternative hypotheses.
Because the philosophical basis of science is skepticism, requiring evidence to support claims.
To avoid Type 2 errors in statistical testing.
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