Lab 12
(b)
Test
ChiS Prob
quar >Chi
e
Sq
Likeliho 17.4 0.000
od
06
6*
Ratio
Pearso 17.6 0.000
n
71
5*
(c) Looking at the row percentage you can see 59.32% of Native Americans were
denied parole and 40.68% received parole, for Blacks 37.02% were denied par
Lab 8
(b) You can see there is a somewhat linear relationship between dist and year
though there are a few outliers as seen on the scatterplot.
There are gaps in the model and in between gaps the data points move in a mostly
linear pattern with some outli
Lab 13
(b)
The equation of the line is Acceptance rate=204.11549-0.130088(SAT). The
predicted acceptance rate is 25.2444393525347. When you plug the predicted value
into the equation of the line the SAT score is 1375.000389.
The points on the residual plo
Lab 1 Homework
(a)
There were 100 trials, and in each trial you had to throw the coin 50 times, you
could theoretically get a number between 0 and 50, but since it is random, and the
number of times it is thrown is higher, that does not happen, or else is
Lab 9
Homework I:
(b) The correlation coefficient for alcohol is 22% and the correlation for tobacco is
22%
(c)The new correlation coefficient for alcohol is 78% and the correlation for tobacco
is 78%. The new regression line is the one in blue. You can s
Lab 6
(b)
Y does not appear to have a uniform distribution because it is slightly skewed. In
general the bars increase as y increases. The distribution is not normal either. It
does not have a normal distribution because n is not a large enough number. As
Lab 10
(a)
It is not normal. It is skewed to the right. The mean cost of the population is $9,879,
the population is 12,145, and the standard deviation is 6,558.
(d) 13 of the samples included the true population mean. It does not always work
because some
Lab 3
(a)
No, this picture is not symmetrical
(b)
No, this picture is not symmetrical either.
(c)
n=50
n=100
n=2,000
Though the shape is not symmetrical, it starts too look a bit symmetrical, that is
there is a slight mirror effect from the middle with th
Lab 7
(b) The weight most strongly correlates with MPG because the correlation
coefficient is the highest (88%).
(c) The pattern is what I expected it to be. MPG and weight had a rather high
correlation coefficient, and it was negative, so I expected a so
Lab 5
(b)
The graph peaks and then starts to decline to the right. It is not an even spread and
the center of the histogram is not at all where it peaks. This does not look normal.
There were 12,145 patients and the true mean cost of the treatment is $9,8
Lab 4
(b)
I would estimate the median is 65. Looking at the graph you can see that the
numbers before and after 65 are pretty even. The 66 bar is significantly higher (it is
the mode), so it helps even out the left side of the graph and the right side of
Lab 11
(c)
The question asks if Ithaca scores significantly higher on the SAT-Verbal than the
national average of 505, so the alternative hypothesis is mean > a constant. The
actual answer is that Prob < t, which means the alternative hypothesis was rejec
Lab 2 Homework
(a)
-Testing a chip can be considered a Bernoulli trial because there can be two
outcomes per chip; it will either succeed, or fail the test because the chip will either
work or it wont work, and it is a random experiment.
-The probability