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Week 5

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Total cards: 22•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (22)

#1
Front (Question)

What are the Two most common and important descriptions(summaries) of data?

Back (Answer)

• Location • Spread (or variation) Tells us how variable the measurements are from individual to individual

#2
Front (Question)

What are the measures of location?

Back (Answer)

Mean Median Mode

#3
Front (Question)

What does location inform?

Back (Answer)

Location (or central tendency) Tells us about the average or typical individual

#4
Front (Question)

What does spread tell us?

Back (Answer)

Spread (or variation) Tells us how variable the measurements are from individual to individual

#5
Front (Question)

What are the common measures of spread(variation)?

Back (Answer)

• Range • Standard deviation • Variance • Coefficient of variation

#6
Front (Question)

Is the range a good estimator of the distribution width?

Back (Answer)

no Small samples tend to give lower estimates of the range than large samples So sample range is a biased estimator of the true range of the population.

#7
Front (Question)

What is the standard deviation?

Back (Answer)

Positive square root of the variance

#8
Front (Question)

What is a parameter?

Back (Answer)

• Is a summary describing the population e.g. means, measures of variation, measures of relationship • The “truth” IF you were able to measure ALL individuals in the population

#9
Front (Question)

What is a Statistic?

Back (Answer)

Is an approximation (estimate) of the truth, subject to error

#10
Front (Question)

How do precision and uncertainty relate to each other?

Back (Answer)

• High precision = low uncertainty • Low precision = high uncertainty

#11
Front (Question)

What is standard error?

Back (Answer)

• Key measure of the precision of an estimate

#12
Front (Question)

What is the effect of increased sample size on spread?

Back (Answer)

Increasing the sample size reduces the spread of the distribution of an estimate, increasing precision

#13
Front (Question)

What does the standard error achieve?

Back (Answer)

quantifies the uncertainty around that estimate Reflects the precision of an estimate

#14
Front (Question)

are Estimates with small standard errors more or less precise?

Back (Answer)

more precise than those with larger standard errors

#15
Front (Question)

What is the formula for the Standard error of the mean?

Back (Answer)

Card back image
#16
Front (Question)

What does standard error imply about replication?

Back (Answer)

More replication is always better AS LONG AS the replicates are true replicates

#17
Front (Question)

What is a Type I error?

Back (Answer)

– fail to reject a true null hypothesis

#18
Front (Question)

What is a null hypothesis?

Back (Answer)

treatment has no effect on response variable

#19
Front (Question)

What is a sample?

Back (Answer)

• A sample is one measurement taken from a single independent unit. • Independent units do not interact.

#20
Front (Question)

What is a subsample?

Back (Answer)

• Sometimes multiple sub-samples are averaged to make a single sample.

#21
Front (Question)

What is a Replicate?

Back (Answer)

A replicate consists of one complete set of treatments and one control.

#22
Front (Question)

define replication?

Back (Answer)

The process of iteratively observing multiple independent samples.