Ch 1-2: Data & Distributions
This is data collected in its original form.
Raw Data
This measure of central tendency is the value that occurs most often
Mode
A binomial experiment must have a fixed number of these
Trials
The best point estimate for the population mean, µ.
Sample mean
This test is used when you are comparing the means from two separate, unrelated groups
Independent samples t-test
This type of frequency distribution is used for data that can be placed into specific categories like blood type
Categorical Frequency Distribution
This is the average of the squares of the distance each value is from the mean.
Variance
The mean of a binomial distribution is found by n times this
p, the probability of success
When σ is unknown, you use this distribution to find the critical value for a confidence interval
t-distribution
For dependent samples, we test the mean of these.
Differences
This rule says there should be between 5 and 20 of these in a grouped frequency distribution.
Classes
For any event A, the probability of its complement is 1 minus this
P(A)
This is the number of standard deviations a data value is from the mean
Z-score
This hypothesis states "there is no difference" and is assumed to be true
Null Hypothesis (H₀)
The symbol 'r' represents this statistical measure.
Correlation Coefficient
This type of graph uses vertical bars to represent class frequencies, and the bars are touching
Histogram
If two events cannot occur at the same time, they are called this.
Mutually exclusive
This theorem allows us to use the normal distribution for sample means, even if the original population isn't normal
Central Limit Theorem
Rejecting a true null hypothesis is called this type of error.
Type I Error
In the regression equation ŷ = a + bx, 'b' represents this
Slope