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Which two parameters uniquely define a normal distribution?
The mean and the variance
Why does a statistically significant result not necessarily imply practical significance?
Very large sample sizes can yield low p-values that have no practical importance
What is the null hypothesis (H0_0)
A baseline claim, often that there is no difference, association or effect
What is a location statistic in descriptive analysis?
A numerical summary representing a typical value of observed data
Why are categorical variables always classified as discrete?
They have a countable distinct set of possible values
Difference between an ordinal variable and a nominal variable?
A nominal variable has no natural ordering a ordinal variable has natural order
Cross-sectional study vs longitudinal study?
Cross-sectional: observes units at a single point in time, longitudinal: observes the same units across multiple time points
Statistical model parameter vs sample statistic?
Model parameter: fixed property of the population, sample: random variable computed from sample data
Which statistical test should be used to compare two paired, normally distributed numerical measurements from the same subjects?
The paired Student's t-test
Data Imputation
The process of replacing missing or invalid data values with substituted values
Statistical Unit
A single member or real-world entity of a population from which data is observed
Spearman vs Pearson
Sperman evaluates ranks, Pearson evaluates raw values
What range of values can Pearson's correlation coefficient r take?
-1-1
Which statistical test evaluates paired nominal binary data (e.g., pre- vs. post-treatment response)?
McNemar's test should be used
Independent vs dependent variable?
independent variable explains variation in the outcome, dependent variable is the primary variable of interest being analyzed
When comparing two unpaired nominal variables with expected cell counts under 5, which exact test replaces Pearson's chi-squared test?
Fisher's exact test
Point estimator vs interval estimator?
point estimator provides a single calculated value, interval estimator provides a range of plausible parameter values.
Which test assesses the association between two independent categorical variables summarized in a contingency table?
Pearson's chi-squared
Why use Benjamini-Hochberg procedure in multiple testing?
It controls the false discovery rate
Which non-parametric test is suitable for comparing two paired numerical samples that violate the normality assumption?
Wilcoxon signed-rank test
Which statistical test should be used to compare the means of two independent, normally distributed numerical samples?
Two-sample unpaired Student's t-test
What relationship does Pearson’s correlation r measure?
the strength and direction between two variables
Which parametric test generalises the Student's t-test to compare sample means across more than two independent groups?
One-way ANOVA
Type II Error (β)
The error committed when a false null hypothesis fails to be rejected
When comparing two independent numerical samples that are not normally distributed, which non-parametric test is appropriate?
Mann-Whitney U test
What is the null hypothesis of the Shapiro-Wilk test?
Sampled population is normally distributed
Type I Error (α)
The error committed when a true null hypothesis is incorrectly rejected
Descriptive statistics
Summarize observed data
Inferential statistics
Conclusions about populations
Categorical variable
Describes groups or labels eg blood type
Discrete variable
Takes distinct countable values
Continous variables
Takes any value in range