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Prob. & Dist. Test Key, 4th 9-weeks, May 20, 2004
- DAEHJIBCFG
- DGHFAEICJB
- (7-1)!/(2!2!)=180. 7 letters, reduce by one since circular,
and two letters repeated (OS), each twice.
- 8×2×10=160.
- Let the test be an air bag trigger and
the condition being tested be a collision.
Let H0 be the air bag triggered
properly and Ha be it did not.
Then a type I error or false negative would be our alpha region
or there was a collision and the air bag did not trigger.
A type II error or false positive would be the beta region or
there was not a collision and the air bag did trigger.
Both kinds or errors are problematic, but for different reasons.
- 1/2 + 1/3 + 1/9 + 1/18 = (9 + 6 + 2 + 1)/18 = 18/18 = 1.000. Yes.
- Remember, if you seed the random number generator
with zero first, you will always get these values:
1 1 0; 1 0 1; 0 0 1; 0 1 1; 0 0 0; 1 0 0; 1 1 1; 0 0 0.
Thus in the 8 families there are 11 boys for an average of 11/8 = 1.375
boys per family.
- [3(1-20) + 4(2-20) + 4(5-20) + 6(10-20) + 3(100-20)]/20 =
(-57 - 72 - 60 - 60 + 240)/20 = -9/20 = -$0.45.
The denominator 20 is part of each probability whereas
the numerator 20 is the cost per each win.
- Using binompdf(3,.9) or the binomial distribution
formula/program one obtains: (0, 0.001), (1, 0.027), (2, 0.243),
and (3, 0.729). Here n = 3 and p = 0.9.
- Using poissonpdf(1,2) where the first argument is the
mean and the second argument is the value whose probability you seek,
one obtains 0.1839. Note that this is also the same as the bank example
in the text. Let µ = 1 and x = 2.
P(2)=e-1/2!=0.3679÷2=0.1839.
- The line x = 0.005 intersects the Lorentzian
at x = 90.0 and x = 110.0 MHz.
Thus the FWHM is 110.0 - 90.0 MHz or 20.0 MHz.
(Oops---there are no units given in the problem.)
- We compare here, in relative magnitude, the right tail
areas of these two distributions. Be sure to include a sketch.
tcdf(1.960,9E99,5)÷normalcdf(1.960,9E99)
yields the result 2.1459 indicating the area under the
probability distribution curve is over twice as big
when you have such a small sample and do not know the
population standard deviation.
- Using the formula (O-E)2/E and summing
over all observed (O) and expected (E) we obtain:
0.125 + 0.167 + 3.014 + 1.877 = 5.179.
- Using the calculator for a frequency mean:
1-Var Stats L1,L2,
we put 0, 1, 2, 3 in L1 and
7, 100, 350, and 543 in L2.
This gives a mean of 2.429 and sample standard deviation 0.6982.
- The standard error of the mean is
0.6982/
(1000)=0.0221.
The margin of error corresponding with an
alpha of 0.05 is 1.960×0.0221 = 0.0433.
The confidence interval then is 2.429±0.043
or (2.386, 2.472).
Note 1: the order numbers are given in "interval notation"
is critical. Be sure to have the left/least first and
second/greatest second. Note also that interval notation
for an open interval (endpoints not included) can be
ambiguous with an ordered pair.
Note 2: one can use invNorm(.975) (one-tail) to find the
z value which corresponds to a (two-tail) 95%
confidence interval.
- Put 0, 31, 59, 90, 120 in L1,
69, 57, 49, 40, 32 in L2, and
20, 14, 10, 5 0 in L3.
Do LinReg L1,L2
and obtain y = -0.198x + 63.65
with r = -0.946 and r2 = 0.89.
Thus the time and temperature are negatively correlated
with 89% of the variation in temperature explained by the
variation in time (it cools off in the evening).
Do LinReg L2,L3
and obtain y = 0.537x - 16.7
with r = 0.998 and r2 = 0.999.
Thus the temperatures in Fahrenheit and Celsius
are very well positively correlated with 100%
of the variation in Celsius explained by the variation in Fahrenheit.
Note 1: it doesn't matter which linear regression you use on
the calculator.
Note 2: if r and r2 are not displayed,
then you need to enable them by doing a Diagnostics On
from catalog.
- Binomial, Poisson, Lorentzian, Student t (or just t),
and Chi Square.
For the May 20, 2005 test students are expected to redo their
test for additional test points.
- No erasures.
- Use a different color (pen vs pencil; black vs blue; etc.).
- The redos are due back this week with the following diminishing returns:
- Monday/Tuesday (5/23 or 5/24): 1/2 points
- Wednesday (5/25): 1/3 points
- Thursday (5/26): 1/4 points
- Friday (5/27): 1/5 points
- Later: 0 points