Portage Learning Math 110 Module 10 Exam, Exams of Mathematics

Portage Learning Math 110 Module 10 ExamPortage Learning Math 110 Module 10 ExamPortage Learning Math 110 Module 10 ExamPortage Learning Math 110 Module 10 ExamPortage Learning Math 110 Module 10 ExamPortage Learning Math 110 Module 10 ExamPortage Learning Math 110 Module 10 ExamPortage Learning Math 110 Module 10 ExamPortage Learning Math 110 Module 10 Exam

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Portage Learning Math 110 Module 10 Exam
1 Find the value of X2 for 17 degrees of freedom and an area of .005 in the right
tail of the chi-square distribution.
Look across the top of the chi-square distribution table for .005, then look down
the left column for 17. These two meet at X2 =35.718.
2. Find the value of X2 for 10 degrees of freedom and an area of .005 in the left tail of the
chisquare distribution.
Since the chi-square distribution table gives the area in the right tail, we must use
1 - .005 = .995. Look across the top of the chi-square distribution table for .995,
then look down the left column for 10. These two meet at X2 =2.156.
3. Find the value of X2 values that separate the middle 80 % from the rest of the distribution for
9 degrees of freedom.
In this case, we have 1-.80=.20 outside of the middle or .20/2 = .1 in each of
the tails.
Notice that the area to the right of the first X2 is .80 + .10 = .90. So we use
this value and a DOF of 9 to get X2 = 4.168.
The area to the right of the second X2 is .10. So we use this value and a DOF
of 9 to get X2 = 14.684.
4. Find the critical value of F for DOF=(4,17) and area in the right tail of .05
In order to solve this, we turn to the F distribution table that an area of .05.
DOF=(4,17) indicates that degrees of freedom for the numerator is 4 and degrees
of freedom for the denominator is 17. So, we look up these in the table and find
that F=2.96.
5. The mayor of a large city claims that 30 % of the families in the city earn more than
$ 100,000 per year; 52 % earn between $ 30,000 and $ 100,000 (inclusive); 18 % earn
less than $ 30,000 per year.
In order to test the mayor’s claim, 285 families from the city are surveyed
and it is found that:
90 of the families earn more than $ 100,000 per year; 135
of the families earn between $ 30,000 and $ 100,000 per
year (inclusive); 60 of the families earn less $ 30,000.
1.
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Portage Learning Math 110 Module 10 Exam

1 Find the value of X^2 for 17 degrees of freedom and an area of .005 in the right tail of the chi-square distribution. Look across the top of the chi-square distribution table for .005, then look down the left column for 17. These two meet at X^2 =35.718.

  1. Find the value of X^2 for 10 degrees of freedom and an area of .005 in the left tail of the chisquare distribution. Since the chi-square distribution table gives the area in the right tail, we must use 1 - .005 = .995. Look across the top of the chi-square distribution table for .995, then look down the left column for 10. These two meet at X^2 =2.156.
  2. Find the value of X^2 values that separate the middle 80 % from the rest of the distribution for 9 degrees of freedom. In this case, we have 1-.80=.20 outside of the middle or .20/2 = .1 in each of the tails. Notice that the area to the right of the first X^2 is .80 + .10 = .90. So we use this value and a DOF of 9 to get X^2 = 4.168. The area to the right of the second X^2 is .10. So we use this value and a DOF of 9 to get X^2 = 14.684.
  3. Find the critical value of F for DOF=(4,17) and area in the right tail of. In order to solve this, we turn to the F distribution table that an area of .05. DOF=(4,17) indicates that degrees of freedom for the numerator is 4 and degrees of freedom for the denominator is 17. So, we look up these in the table and find that F=2.96.
  4. The mayor of a large city claims that 30 % of the families in the city earn more than $ 100,000 per year; 52 % earn between $ 30,000 and $ 100,000 (inclusive); 18 % earn less than $ 30,000 per year. In order to test the mayor’s claim, 285 families from the city are surveyed and it is found that: 90 of the families earn more than $ 100,000 per year; 135 of the families earn between $ 30,000 and $ 100,000 per year (inclusive); 60 of the families earn less $ 30,000.

Test the mayor’s claim based on 5 % significance level. We will set H 0 : The mayor’s distribution is correct. H 1 : The mayor’s distribution is not correct.

lOMoARcPSD| 6.A trucking company wants to find out if their drivers are still alert after driving long hours. So, they give a test for alertness to two groups of drivers. They give the test to 395 drivers who have just finished driving 4 hours or less and they give the test to 565 drivers who have just finished driving 8 hours or more. The results of the tests are given below. Passed Failed Drove 4 hours or less 290 105 Drove 8 hours or more 350 215 Is there is a relationship between hours of driving and alertness? (Do a test for independence.) Test at the 1 % level of significance. H 0 : Driving hours and alertness are independent events. H 1 : Driving hours and alertness are not independent events. We have two rows and three columns, so # of Rows =2 and # of Columns=2. The degrees of freedom are given by: DOF = (# of Rows-1)(# of Columns-1)=(2-1)(2-1)=1. Using this, along with .01 (for the 1% level of significance) we find in the chi-square table a critical value of 6.635. This value is greater than the critical value of 6.635. So, we reject the null hypothesis.

lOMoARcPSD| )