Statistical data analysis

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32 Terms

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Which two parameters uniquely define a normal distribution?

The mean and the variance

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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

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What is the null hypothesis (H0_0)

A baseline claim, often that there is no difference, association or effect

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What is a location statistic in descriptive analysis?

A numerical summary representing a typical value of observed data

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Why are categorical variables always classified as discrete?

They have a countable distinct set of possible values

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Difference between an ordinal variable and a nominal variable?

A nominal variable has no natural ordering a ordinal variable has natural order

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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

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Statistical model parameter vs sample statistic?

Model parameter: fixed property of the population, sample: random variable computed from sample data

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Which statistical test should be used to compare two paired, normally distributed numerical measurements from the same subjects?

The paired Student's t-test

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Data Imputation

The process of replacing missing or invalid data values with substituted values

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Statistical Unit

A single member or real-world entity of a population from which data is observed

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Spearman vs Pearson

Sperman evaluates ranks, Pearson evaluates raw values

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What range of values can Pearson's correlation coefficient r take?

-1-1

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Which statistical test evaluates paired nominal binary data (e.g., pre- vs. post-treatment response)?

McNemar's test should be used

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Independent vs dependent variable?

independent variable explains variation in the outcome, dependent variable is the primary variable of interest being analyzed

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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

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Point estimator vs interval estimator?

point estimator provides a single calculated value, interval estimator provides a range of plausible parameter values.

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Which test assesses the association between two independent categorical variables summarized in a contingency table?

Pearson's chi-squared

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Why use Benjamini-Hochberg procedure in multiple testing?

It controls the false discovery rate

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Which non-parametric test is suitable for comparing two paired numerical samples that violate the normality assumption?

Wilcoxon signed-rank test

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Which statistical test should be used to compare the means of two independent, normally distributed numerical samples?

Two-sample unpaired Student's t-test

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What relationship does Pearson’s correlation r measure?

the strength and direction between two variables

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Which parametric test generalises the Student's t-test to compare sample means across more than two independent groups?

One-way ANOVA

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Type II Error (β)

The error committed when a false null hypothesis fails to be rejected

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When comparing two independent numerical samples that are not normally distributed, which non-parametric test is appropriate?

Mann-Whitney U test

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What is the null hypothesis of the Shapiro-Wilk test?

Sampled population is normally distributed

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Type I Error (α)

The error committed when a true null hypothesis is incorrectly rejected

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Descriptive statistics

Summarize observed data

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Inferential statistics

Conclusions about populations

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Categorical variable

Describes groups or labels eg blood type

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Discrete variable

Takes distinct countable values

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Continous variables

Takes any value in range