Unit 1
A variable that counts in categories
What is a Categorical Variable?
A graph with many dots each representing a sample individual
What is a scatterplot
A sampling method in which every 5th person that walks through the door is sampled
What is Systematic Sampling?
If there is a 99.187% chance that something will happen, what is the chance that it doesn't happen? (in decimal form Ex: 0.99)
0.00813
What is a Z test for the difference in 2 proportions?
A variable that is counted in amount or quantities
What is a quantitative variable?
A linear regression with a r value of -1
What is a perfectly linear negative regression model?
A sampling method in which individuals are randomly split into groups and whole groups are chosen to participate
What is Clustered Sampling?
The probability of event A occuring and Event B occuring = Event A * Event B
What is the multiplication rule?
What is the Z value for a confidence level of 95%
1.95996
A graph with a middle box showing the median and two whiskers on either end
What is a box-whisker plot?
What is the residual of the exact same expected and observed value
0
A sampling method in which individuals are split into groups of similar attributes and random individuals from all groups are chosen
What is Stratified Sampling?
Event A + Event B -Event A and B
What is the probability of Event A or B occuring?
1. Independent Sample Population
2. Random Sample
3. Normal Distribution
What are the three conditions for a z test?
What percentage of area is under a standardized normal curve
100% or 1.00
What is the residual for an observed value of 180 and an expected value of 170
10
A type of Bias in which those who responded exaggerated their responses
What is Response Bias?
What is a Geometric Probability Distribution for?
Determining the probability of the first success
The difference between a z-test and t-test is that a z-test has the mean given
True
What is the p value for a z score of (greater than) 2?
0.02275
____ is the percent of variation between 2 variables that can be explained by the linear regression
What is R^2
What are the four things every experiment must have
1. Comparison
2. Randomization
3. Control
4. Replication
Name a condition that needs to be satisfied for a binomial distribution
1. Two possible outcomes
2. Probability of success is the same for each trial
3. Trials are independent
Because our p value is less than 0.05, we reject the null hypothesis. There is significant evidence in favor of the alternative hypothesis.
What is the interpretation/conclusion for a p value less than 0.05?