
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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![196
CONTINGENCY TABLES
Incorrect
Correct
10
tot noulo
nrelb
Program
Program
elt
7
23
Conventional Class
27
Experimental Class
Is there reason to believe the experimental method is superior? Or could the preceding
differences be due to chance fluctuations?
One hundred men and 100 women were asked to trya new toothpaste and to state whether
they liked or did not like the new taste. Thirty-two men and 26 women said they did not
like the new taste. Does this indicate a difference in preferences between men and women
3.
in general?
4. Contingency tables may be used to present data representing scales of measurement higher
than the nominal scale. For example, a random sample of size 20 was selected from the
graduate students who are U.S. citizens, and their grade point averages were recorded
3.42 3.54 3.21 3.63 3.22
3.80 3.70 3.20 3.75 3.31
2.86 2.92 3.59
3.77 2.70 3.06 3.30
s
bar
3.86 4.00
e] ug
Also, a random sample of 20 students was selected from the non-U.S. citizen group of
graduate students at the same university. Their grade point averages were as follows.
alb
3.50 4.00 3.43 3.85 3.84
3.21
3.58 3.94 3.48 3.76
3.87 2.93 4.00 3.37 3.72
4.00 3.06 3.92 3.72 3.91
s
Test the null hypothesis that the proportion of graduate students with averages of 3.50 or
higher is the same for both the U.S. citizens and the non-U.S. citizens.
Fisher's exact test can be used as a quick test for correlation between two variables X and
Y, each of which has at least an ordinal scale of measurement. Divide the scatterplot of
the N values of (X, Y) with a vertical line at the median of X, and a horizontal line at the
median of Y, and count the number of observations in each of the four quadrants. Note
that the row and column totals are N/2, and are not random.
Suppose that 16 observations of X = age of marriage of a husband, and Y = age
marriage of his father, resulted in 7 pairs where both ages were above the median. Are
the two variables positively correlated?
5.
of
Use the Fisher exact test as a test for positive correlation, as exnlained in
the data in Example 3.5.4. There the reaction of a mati
of the sam
6.](https://content.bartleby.com/qna-images/question/3f1ebd08-7e04-46cf-88d9-0b90774940c7/c9d845a2-8f00-4d37-9ea0-b1a27d480a9e/8fcpjn.jpeg)
Transcribed Image Text:196
CONTINGENCY TABLES
Incorrect
Correct
10
tot noulo
nrelb
Program
Program
elt
7
23
Conventional Class
27
Experimental Class
Is there reason to believe the experimental method is superior? Or could the preceding
differences be due to chance fluctuations?
One hundred men and 100 women were asked to trya new toothpaste and to state whether
they liked or did not like the new taste. Thirty-two men and 26 women said they did not
like the new taste. Does this indicate a difference in preferences between men and women
3.
in general?
4. Contingency tables may be used to present data representing scales of measurement higher
than the nominal scale. For example, a random sample of size 20 was selected from the
graduate students who are U.S. citizens, and their grade point averages were recorded
3.42 3.54 3.21 3.63 3.22
3.80 3.70 3.20 3.75 3.31
2.86 2.92 3.59
3.77 2.70 3.06 3.30
s
bar
3.86 4.00
e] ug
Also, a random sample of 20 students was selected from the non-U.S. citizen group of
graduate students at the same university. Their grade point averages were as follows.
alb
3.50 4.00 3.43 3.85 3.84
3.21
3.58 3.94 3.48 3.76
3.87 2.93 4.00 3.37 3.72
4.00 3.06 3.92 3.72 3.91
s
Test the null hypothesis that the proportion of graduate students with averages of 3.50 or
higher is the same for both the U.S. citizens and the non-U.S. citizens.
Fisher's exact test can be used as a quick test for correlation between two variables X and
Y, each of which has at least an ordinal scale of measurement. Divide the scatterplot of
the N values of (X, Y) with a vertical line at the median of X, and a horizontal line at the
median of Y, and count the number of observations in each of the four quadrants. Note
that the row and column totals are N/2, and are not random.
Suppose that 16 observations of X = age of marriage of a husband, and Y = age
marriage of his father, resulted in 7 pairs where both ages were above the median. Are
the two variables positively correlated?
5.
of
Use the Fisher exact test as a test for positive correlation, as exnlained in
the data in Example 3.5.4. There the reaction of a mati
of the sam
6.
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