Summary: This module defines symbols used throughout the Collaborative Statistics textbook.
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Chapter (1st used)  Symbol  Spoken  Meaning 

Sampling and Data  The square root of  same  
Sampling and Data  Pi  3.14159… (a specific number)  
Descriptive Statistics  Quartile one  the first quartile  
Descriptive Statistics  Quartile two  the second quartile  
Descriptive Statistics  Quartile three  the third quartile  
Descriptive Statistics  interquartile range  Q3Q1=IQR  
Descriptive Statistics  xbar  sample mean  
Descriptive Statistics  mu  population mean  
Descriptive Statistics  s  sample standard deviation  
Descriptive Statistics  ssqaured  sample variance  
Descriptive Statistics  sigma  population standard deviation  
Descriptive Statistics  sigmasquared  population variance  
Descriptive Statistics  capital sigma  sum  
Probability Topics  brackets  set notation  
Probability Topics  S  sample space  
Probability Topics  Event A  event A  
Probability Topics  probability of A  probability of A occurring  
Probability Topics  probability of A given B  prob. of A occurring given B has occurred  
Probability Topics  prob. of A or B  prob. of A or B or both occurring  
Probability Topics  prob. of A and B  prob. of both A and B occurring (same time)  
Probability Topics  Aprime, complement of A  complement of A, not A  
Probability Topics  prob. of complement of A  same  
Probability Topics  green on first pick  same  
Probability Topics  prob. of green on first pick  same  
Discrete Random Variables  prob. distribution function  same  
Discrete Random Variables  X  the random variable X  
Discrete Random Variables  the distribution of X  same  
Discrete Random Variables  binomial distribution  same  
Discrete Random Variables  geometric distribution  same  
Discrete Random Variables  hypergeometric dist.  same  
Discrete Random Variables  Poisson dist.  same  
Discrete Random Variables  Lambda  average of Poisson distribution  
Discrete Random Variables  greater than or equal to  same  
Discrete Random Variables  less than or equal to  same  
Discrete Random Variables  equal to  same  
Discrete Random Variables  not equal to  same  
Continuous Random Variables  f of x  function of x  
Continuous Random Variables  prob. density function  same  
Continuous Random Variables  uniform distribution  same  
Continuous Random Variables  exponential distribution  same  
Continuous Random Variables  k  critical value  
Continuous Random Variables  f of x equals  same  
Continuous Random Variables  m  decay rate (for exp. dist.)  
The Normal Distribution 

normal distribution  same 
The Normal Distribution 

zscore  same 
The Normal Distribution 

standard normal dist.  same 
The Central Limit Theorem 

Central Limit Theorem  same 
The Central Limit Theorem 

Xbar  the random variable Xbar 
The Central Limit Theorem 

mean of X  the average of X 
The Central Limit Theorem 

mean of Xbar  the average of Xbar 
The Central Limit Theorem 

standard deviation of X  same 
The Central Limit Theorem 

standard deviation of Xbar  same 
The Central Limit Theorem  sum of X  same  
The Central Limit Theorem  sum of x  same  
Confidence Intervals 

confidence level  same 
Confidence Intervals 

confidence interval  same 
Confidence Intervals 

error bound for a mean  same 
Confidence Intervals 

error bound for a proportion  same 
Confidence Intervals 

studentt distribution  same 
Confidence Intervals 

degrees of freedom  same 
Confidence Intervals  studentt with a/2 area in right tail  same  
Confidence Intervals  phat  sample proportion of success  
Confidence Intervals  distribution of phat  dist. of sample proportions  
Confidence Intervals  qhat  sample proportion of failure  
Hypothesis Testing 

Hnaught, Hsub 0  null hypothesis 
Hypothesis Testing 

Ha, Hsub a  alternate hypothesis 
Hypothesis Testing 

H1, Hsub 1  alternate hypothesis 
Hypothesis Testing 

alpha  probability of Type I error 
Hypothesis Testing 

beta  probability of Type II error 
Hypothesis Testing 

X1bar minus X2bar  difference in sample means 

mu1 minus mu2  difference in population means  

P1hat minus P2hat  difference in sample proportions  

p1 minus p2  difference in population proportions  
ChiSquare Distribution  Kysquare  Chisquare  
Observed  Observed frequency  
Expected  Expected frequency  
Linear Regression and Correlation  y equals a plus bx  equation of a line  
yhat  estimated value of y  
correlation coefficient  same  
error  same  
Sum of Squared Errors  same  
1.9 times s  cutoff value for outliers  
FDistribution and ANOVA  F ratio  F ratio 