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Lecture 2

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Total cards: 24•Content version: v4•Public deck•Updated: 8/1/2026

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#1
Front (Question)

what are the measures of tendencies

Back (Answer)

-Mean -Mode -Median

#2
Front (Question)

Mean- Define, how to calculate

Back (Answer)

Definition: the average value of the set. How to calculate: add up all samples then divide by sample size. (amount of samples)

#3
Front (Question)

Explain variation with sample size (N). (Mean)

Back (Answer)

Variation with sample size: as sample size increases it gets closer to the population mean

#4
Front (Question)

Median define and calculate

Back (Answer)

Definition: is the number in middle of the sample (ranked in order) How to calculate: The middle sample when the samples are ranked in order. (if there are two middle numbers add them then divide by 2)

#5
Front (Question)

Explain variation with sample size (N). (median)

Back (Answer)

Variation with sample size: as sample size increases it gets closer to the population median

#6
Front (Question)

Mode define and how to calculate

Back (Answer)

Definition: the the most repeated or frequent number that appears How to calculate: find the most repeated value.

#7
Front (Question)

Explain variation with sample size (N).(Mode)

Back (Answer)

Variation with sample size: as sample size increases it gets closer to the population mode

#8
Front (Question)

what are the measures of dispersion?

Back (Answer)

-Range -Interquartile range - Standard error (SE) -Standard deviation (SD) - coefficient of variation (CV)

#9
Front (Question)

Define and how to calculate Range

Back (Answer)

Definition: the Max to min value How to calculate: Maximum value - Minimum value

#10
Front (Question)

Explain variation with sample size (N). (Range)

Back (Answer)

Variation with sample size: as sample size increases it gets closer to the population range

#11
Front (Question)

explain variation with magnitude of the mean (μ) (Range)

Back (Answer)

Variation with magnitude of the mean (μ) : larger magnitude with higher mean Note:a larger range with a higher mean indicates that the data points are spread further apart from each other, even though the central tendency (represented by the mean) is shifted towards a higher value

#12
Front (Question)

Define and calculate interquartile range

Back (Answer)

Definition: first to third quartile Calculation: median of the lower half of the data (Q1) - median of the upper half of the data (Q3)

#13
Front (Question)

Variation with sample size (Interquartile range-IQR)

Back (Answer)

Variation with sample size: as sample size increases it gets closer to the populations IQR

#14
Front (Question)

Variation with magnitude of mean (μ) (IQR)

Back (Answer)

Variation with magnitude of mean (μ): larger magnitude with higher mean Note: it tells you how much variation exists within the middle half of your data,

#15
Front (Question)

Standard deviation (SD) define and what does it indicate for a data set?

Back (Answer)

Definition: The average distance to the mean. Indicates how much variation exists within a dataset; a low standard deviation means data points are close to the mean, while a high standard deviation means data points are spread further from the mean.

#16
Front (Question)

Left skewed distributions

Back (Answer)

the peak is on the right and it has a long tail on the left. mean<median<mode (on x-axis)

#17
Front (Question)

Symmetrical distribution

Back (Answer)

left and right sides mirror each other mean=median=mode

#18
Front (Question)

right skewed/Poisson distribution

Back (Answer)

the peak is on the left side and has a tail on the right . mean>median>mode (on the x)

#19
Front (Question)

Uniform distribution

Back (Answer)

a probability distribution where all possible outcomes are equally likely

#20
Front (Question)

Bimodal distribution

Back (Answer)

a type of probability distribution that exhibits two distinct peaks indicating the presence of two separate groups within the same dataset.

#21
Front (Question)

Multimodal

Back (Answer)

Has more than two peaks on a graph, indicating multiple clusters or distinct groups within the data.

#22
Front (Question)

Standard error

Back (Answer)

a measure of the statistical accuracy of an estimate. The expected average difference between your sample mean and the population mean.

#23
Front (Question)

Which of the 3 measures of dispersion is negatively related to sample size? (smaller dispersion for larger sample sizes)

Back (Answer)

Standard error

#24
Front (Question)

which of the measures of dispersion does not get bigger when when the mean of the sample size gets bigger?

Back (Answer)

Coefficient of variation (CV)