Name:
| experiment | A. examples: rolling die, flipping coin, drawing card | |
| random experiment | B. more than one roll, flip, or draw | |
| sample space | C. each element has an equal chance of being chosen | |
| impossible | D. method by which observations are made | |
| certain | E. set of all possible outcomes | |
| simple event | F. where empirical approches actual probability | |
| compound event | G. each outcome is equally likely | |
| random sample | H. P(A) = 0 | |
| law of large numbers | I. outcome which can't be broken down | |
| fair | J. P(A) = 1 |
| Terms | Definitions | |
|---|---|---|
| P(At least one) | A. event outcomes/total outcomes | |
| Mutually exclusive | B. 1 - ![]() | |
| Exhaustive | C. P(A) + P(Ã)=1 | |
| Addition rule | D. 1 - P(none) | |
| Def. of probability | E. Sum of all xP(x) | |
| Expected Value | F. P(A or B)=P(A) + P(B) - P(A and B) | |
| P-value | G. no overlap | |
| complementary rule | H. Everything enumerated | |
| Bayes Theorem | I. An area like ![]() | |
| Power | J. P(A|B) = P(A)P(B|A)/(P(A)P(B|A) + P(Ã)P(B|Ã)) |
| stalks: | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| observed: | 7 | 100 | 350 | 543 |
| expected: | 8 | 96 | 384 | 512 |
=
(npq) =
(30.80.2)
0.693.
Using either these values or preferably the similar values
from the previous problem, calculate the margin of error
(for alpha=0.05)
and corresponding 95% confidence interval for the
true average number of stalks.
Clearly indicate the standard error of the mean
for his n = 1000
(lesson 13).