how to solve
definitions
symbols
formulas
fun
100

Mean

What is: add data points together, divide by the total amount

100

Continuous measurement

What is: a measurement that continues on (ex. your height), can take on any numerical value in a given range

100

Sample mean

What is: x̄ (x-bar)

100

Z-score

What is: z = x - mean / standard deviation



100

PLTL Room number

What is: BMSLC 2.124

200

Cumulative frequency

What is: Add each frequency together (ex. if 1st frequency is 2, the current cumulative is 2. if the next one is 5, you add 2+5 = 7 which is the new cumulative)

200

Outliers

What is: data points outside of the IQR boundaries

200

Standard deviation

 What is: 𝜎

200

IQR

What is: Q3 - Q1

200
My name

What is: Briana

300

Z-score

What is: subtract the value given and the mean, then divide by the standard deviation

300

Modal class

What is: the class in a grouped frequency distribution with the highest frequency

300

 𝜇

What is: population mean

300

Class boundaries

What is: lower class limit - 0.5, upper class limit + 0.5

300

Your professor's email

What is: rozina.siddique01@utrgv.edu
400

Mean of grouped frequencies

What is: get midpoints of each class, multiply by corresponding frequency, add together, divide by total frequency

400

Difference between class limits and class boundaries

What is: limits = smallest and largest data values of each class, boundaries = the precise endpoints to fill in gaps

400

Z

What is: how many standard deviations a specific data point is above or below the mean of a data set

400

IQR Boundaries

What is: upper boundary = Q3 + 1.5(IQR), lower boundary = Q1 - 1.5(IQR)

400

My office hours and where they are located

What is: Wednesdays 12:30 - 2:45 PM in BMSLC 2.123A

500

Chebyshev's theorem

What is: find K by subtracting mean from highest number in the range provided and dividing that by the standard deviation, then using the formula 1 - (1/k^2)

500

Measure of dispersion relative to the mean

What is: standard deviation

500

K in Chebyshev's theorem

What is: the number of standard deviations away from the mean

500

Empirical Rule

What is: 68% = (𝜇 ± 𝜎), 95% = (𝜇 ± 2𝜎), 99.7% = (𝜇 ± 3𝜎) 

500

Amount of times you can be absent in PLTL

What is: up to your professor, 1 absence = email

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