202 Exam 1 Flashcards
Percentage Final is worth
30
Percent exams are worth
24
How many exams are taken
4
Lecture percent
10
How many lectures taken
10
Homework percent
15
How many homework taken
5
Project percent
18
How many project taken
9
Packet percent
3
Methods organizing and summarizing data in an easily understandable way
Descriptive Statistics
Conclusion drawn from population using sample data
Inferential Statistics
Numeric data generally counted
Discrete
Population from which we draw inference
Targeted Population
Actual population sampled
Sample Population
Randomly selected from group
Simple Random Sample
Population put into stratas, randomly selected from strata
Stratified Random Sample
Entire groups selected
Cluster Sample
Least reliable sampling result
Convenience Sample
Ex: picking every 6th person
Systematic Sample
Natural error due to difference between population and sample
Sampling Error
Responses skewed because of social pressure
Behavioral Effects
Responses not obtained
Nonresponse Error
Percent of observations falling within 1 SD of the mean
68
Percent of observations falling within 2 SD of the mean
95
Percent of observations falling within 3 SD of the mean
About 100
Proportion of observations in that or earlier classes
Cumulative Relative Frequency
Proportion of observations in each class
Relative frequency
When covariance is negative…
X and Y are negatively related
When covariance is positive…
X and Y are positively related
When covariance is 0
X and Y are unrelated linerally
