Symbol and Pronunciation Key - University of San Diego
Symbol and Pronunciation Key
|Chapter |Symbol |Meaning |Pronunciation |
| | | | |
|2: Presenting Data in Tables and Charts | | | |
| | | | |
|3:Summarizing and Describing Numerical | | | |
|Data | | | |
| |N |Population size | |
| |n |Sample size | |
| |μ |Population Mean |mu |
| |Σ |Operation of Adding |sigma or sum |
| |ΣX |Adding a group of values |sigma X or sum of X |
| |[pic] |Sample mean |X bar |
| |(2 |Population variance |sigma squared |
| |( |Population standard deviation |sigma |
| |S |sample standard deviation | |
|4: Basic probability | | | |
| |P(A) |Probability of A |P of A |
| |P(A and B) |Probability of A and B |P of A and B |
| |P(A or B) |Probability of A or B |P of A or B |
| |P(A|B) |Probability of A given B has happened |P of A given B |
| | | | |
|5: Discrete Probability Distributions |n! |n times n-1 times n-2 ….. |n factorial |
| |[pic] |the number of ways to choose x objects from a group of |n combination x |
| | |n objects | |
| | | | |
|6: Normal Distribution and Sampling | | | |
|Distributions | | | |
| |[pic] |Mean of the distribution of sample means |mu x bar |
| |[pic] |Population standard error of the sample means |sigma x bar |
| |p |Population proportion | |
| |ps |Sample proportion |p sub s |
| | | | |
|7: Confidence Interval Estimation | | | |
| |( |Level of significance |alpha |
| |E |Margin of error |e |
| |d.f. |Degrees of freedom | |
| | | | |
| | | | |
|8: Hypothesis Testing, One-Sample Tests | | | |
| |H0 |Null hypothesis |H 0 |
| |H1 |Alternative hypothesis |H 1 |
| | | | |
| | | | |
| | | | |
|9: Two-Sample Tests | | | |
| |n1 |Number of observations in sample 1 |n 1 |
| |n2 |Number of observations in sample 2 |n 2 |
| |[pic] |Mean from first sample |x bar 1 |
| |[pic] |Mean from second sample |x bar 2 |
| |[pic] |Pooled sample variance |s squared p |
| |(D |Population mean of the difference between dependent | |
| | |samples | |
| |[pic] |Sample mean of the difference between dependent samples|d bar |
| |[pic] |Sample variance of the difference between dependent |s squared d |
| | |samples | |
| | | | |
| | | | |
| | | | |
| | | | |
|10: ANOVA | | | |
| |MSA |Mean square among groups | |
| |MSW |Mean square within groups | |
| | | | |
| | | | |
|12: Simple Regression and Correlation | | | |
| |(0 |Population intercept |beta 0 |
| |(1 |Population slope |beta 1 |
| |b0 |Sample intercept |b 0 |
| |b1 |Sample slope |b 1 |
| |[pic] |Standard error of the slope |s b 1 |
| |r2 |Coefficient of determination |r square |
| |SYX |Standard error of the estimate | |
| |SST |Total sum of squares | |
| |SSR |Regression sum of squares | |
| |SSE |Error sum of squares | |
| |MSR |Mean square regression | |
| |MSE |Mean square error | |
| |DW |Durbin-Watson statistic | |
| |[pic] |Predicted value of the dependent variable |y hat |
| |( |Population correlation coefficient |rho |
| |r |Sample correlation coefficient | |
| | | | |
|13: Multiple Regression | | | |
| |VIF |Variance inflation factor | |
| | | | |
| | | | |
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