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STAT PLOTS
allows one to show scatterplots, histogras, boxplots, and modifed boxplots
STAT PLOT w/ TRACE
trace the plots :)
1-Var Stats
mean
SD
5-numsum
binompdf (npx) e
gives probability of exactly x successes in n trials where p is probability of success on a single trial
binomcdf (npx)
gives cumulative probability of x or fewer success on a single trial
geometpdf (p, x)
probability that first success occurs on the x'th trial where p is the probability of success on a single trial
geometcdf (p, x)
cumulative probability that the first succses occurs on the x'th trial where p is prob of success
normalcdf (lowerbound, upper bound, mean, SD)
prob that a score is between a lower and upper bound of designated mean and SD
InvNorm (area, mean, SD)
gives the score asociated wtih an area (probability) that a score is between the two bounsd for the designted mean and SD
tcdf (lowerbound, upperbound, df)
gives the probability a score is between the two bounds for the specified df (degrees of freedom)
invT(area, df)
gives the t-score associeated wit han area (probability) to the left of the score under the student t-probability function for specified df (degrees of freedom)
X (squared) cdf (lowerbound, upperbound, df)
gives probability a score is between the two bounds for a specific degrees of freedom
X (squared) GOF-Test
a chi-square goodness-of-fit test to confirm whether sample data conforms to a specified distribution
LinReg (ax + b)
fits the equation y = ax + b to the data in lists L1 and L2 using least squares fit
DiagnosticOn
values for r squared and r are displayed in LinReg
1-PropZInt
(for proportions)
gives a confidence interval for a proportion of successes
2-PropZInt
(for proportions)
confidence interval for the difference between the proportion of successes in two populations
TInterval
(for means)
gives a confidence interval for the difference between the proportion of successes in two populations
2-SampTInt
(for means)
gives a confidence interval for the difference between two popualation means
1-PropZTest
(for proportions)
a hypothesis test
T-Test
(for means)
a hypothesis test
2-SampTTest
(for means
2-PropZTest
(for proportions)
a hypothesis test
compares proportion of successes from two populaitons (making use of the pooled sample proportion)
x-squared test
gives x-squared value and p-value for null hypothesis H0
no association between row and column variables
alternative hypothesis Ha: the variables are related
observed counts must be entered into a matrix
LinRegTTest
linear regresse RegEQion and perfors t0test on the null hypothesis H0: B = 0 (Ho: p=0)
regression is stored in RegEQ (under VARS Statistics EQ) and list of residuals in RESID ( under List Names)