Mean
What is: add data points together, divide by the total amount
Continuous measurement
What is: a measurement that continues on (ex. your height), can take on any numerical value in a given range
Sample mean
What is: x̄ (x-bar)
Z-score
What is: z = x - mean / standard deviation
PLTL Room number
What is: BMSLC 2.124
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)
Outliers
What is: data points outside of the IQR boundaries
Standard deviation
What is: 𝜎
IQR
What is: Q3 - Q1
What is: Briana
Z-score
What is: subtract the value given and the mean, then divide by the standard deviation
Modal class
What is: the class in a grouped frequency distribution with the highest frequency
𝜇
What is: population mean
Class boundaries
What is: lower class limit - 0.5, upper class limit + 0.5
Your professor's email
Mean of grouped frequencies
What is: get midpoints of each class, multiply by corresponding frequency, add together, divide by total frequency
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
Z
What is: how many standard deviations a specific data point is above or below the mean of a data set
IQR Boundaries
What is: upper boundary = Q3 + 1.5(IQR), lower boundary = Q1 - 1.5(IQR)
My office hours and where they are located
What is: Wednesdays 12:30 - 2:45 PM in BMSLC 2.123A
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)
Measure of dispersion relative to the mean
What is: standard deviation
K in Chebyshev's theorem
What is: the number of standard deviations away from the mean
Empirical Rule
What is: 68% = (𝜇 ± 𝜎), 95% = (𝜇 ± 2𝜎), 99.7% = (𝜇 ± 3𝜎)
Amount of times you can be absent in PLTL
What is: up to your professor, 1 absence = email