Download AP Statistics: Calculator Tips

AP Statistics: Calculator Tips
Stat-Calc
What we are doing
Mean
Standard Deviation
5 Number Summary
Linear Regression
“r” and “r2”
Code
1 vars Stats
Example
**Assumes your data is in list 1. If it is not, you need to specify your list.
2 vars Stats l1
#8
Performs linear regression using the
least-squares regression line (LSRL)
** Make sure you have DIAGNOSTICS
ON to get r and r2
**Assumes your x-data is in list 1 and y-data is in list 2. If it is not, you need to specify your list.
“a” will be the slope
“b” will be the y-intercept
Diagnostics must be on
2nd Catalog Diagnostics On
Once you are in the catalog, hit d to quickly get to diagnostics.
2nd-Vars
What we are doing
-Calculate the probability
PDF is the probability of one
specific value of the random
variable
-Calculate the probability
CDF is the sum of all
probabilities for values from 0 to
X.
Code
Binompdf(# of trials, % success, # of
successes)
Example
Calculate the P(X=3) or the probability of 3 successes out of 10 trials with the probability of
success = .25
binompdf(10, .25, 3) = .25
binomcdf(# of trials, % success, # of
successes)
Calculate P(X≤3) or the probability of no more than 3 successes out of 10 with the probability of
success = .25
Binomcdf(10,.25,3)
-Area under a normal curve
Normalcdf(lower bound, upper bound,
mean, standard deviation)
A group of students taking end of semester statistics exams at a certain college have a mean score
of 75 and a standard deviation of 5 points. What is the probability that a given student will score
between 90 and 100 points?
Normalcdf(90, 100, 75, 5) = 0.00135
-Computes the probability
density function at a specified x
value.
-Gives you the z score when you
know the area under the curve
Normalpdf(x, mean, standard deviation)
InvNorm: (percentile, mean, standard
deviation)
For a standard normal distribution you
can leave mean and standard deviation
out as the mean is 0 and the standard
deviation is 1.
**You will rarely use this function**
Calculate the 28th percentile of the distribution if the mean is 494 and the standard devation is 92.
Invnorm(.28, 484, 92) = 440.38
For a standard normal distribution, find the number j such that 38% of all observations are greater
than j.
Invnorm(.62) = .305