4. The following is the distribution of the daily emission of sulfur oxides by an industrial plant. As can easily be verified, the mean of the distribution is 18.85 and its standard deviation is s=5.55. To test the null hypothesis that these data constitute a random sample from a normal population, proceed with the following steps: Tons of Sulfur 5.0-8.99 9.0-12.99 13.0-16.99 17.0-20.99 21.0-24.99 25.0-28.99 29.0-32.99 C. Freq. 3 10 14 25 17 9 2 a. Find the probabilities that a random variable having the normal distribution with u-18.85 and o=5.5 will take on a value less than 8.95, between 8.95 and 12.95, between 12.95 and 16.95, between 16.95 and 20.95, between 20.995 and 24.95, between 24.95 and 28.95, and greater than 28.95. b. Changing the first and last classes of the distribution to "8.95 or less" and "28.95 or more" find the expected normal curve frequencies corresponding to the seven classes of the distribution by multiplying the probabilities obtained in part (a) by the total frequency of 80. Test at the 0.05 level of significance whether the given data may be looked upon as a random sample from a normal distribution. Recall: expected values for any cell cannot be below 5; combine cells if needed.

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State hypothesis
Define test, one or 2 sided?
Test assumptions (equal variance, normality)
State test statistic (t, F, Chi-square)
State critical value (1 or 2 sided, degrees of freedom) example: f crit (1, 3, 20)
State conclusions.
You can use Excel or STATA as an aid to perform the tests, but you should be "in control" of all the steps. If
applicable, include STATA outputs, or Excel spreadsheets, in your submission.
Transcribed Image Text:State hypothesis Define test, one or 2 sided? Test assumptions (equal variance, normality) State test statistic (t, F, Chi-square) State critical value (1 or 2 sided, degrees of freedom) example: f crit (1, 3, 20) State conclusions. You can use Excel or STATA as an aid to perform the tests, but you should be "in control" of all the steps. If applicable, include STATA outputs, or Excel spreadsheets, in your submission.
4. The following is the distribution of the daily emission of sulfur oxides by an
industrial plant. As can easily be verified, the mean of the distribution is 18.85
and its standard deviation is s=5.55. To test the null hypothesis that these data
constitute a random sample from a normal population, proceed with the following
steps:
Tons of Sulfur Freq.
5.0-8.99
9.0-12.99
13.0-16.99
17.0-20.99
21.0-24.99
25.0-28.99
29.0-32.99
C.
3
10
14
25
17
a. Find the probabilities that a random variable having the normal distribution
with u-18.85 and 0-5.5 will take on a value less than 8.95, between 8.95 and
12.95, between 12.95 and 16.95, between 16.95 and 20.95, between 20.995
and 24.95, between 24.95 and 28.95, and greater than 28.95.
b. Changing the first and last classes of the distribution to "8.95 or less" and "28.95 or more" find the expected
normal curve frequencies corresponding to the seven classes of the distribution by multiplying the
probabilities obtained in part (a) by the total frequency of 80.
Test at the 0.05 level of significance whether the given data may be looked upon as a random sample from a
normal distribution. Recall: expected values for any cell cannot be below 5; combine cells if needed.
9
2
Transcribed Image Text:4. The following is the distribution of the daily emission of sulfur oxides by an industrial plant. As can easily be verified, the mean of the distribution is 18.85 and its standard deviation is s=5.55. To test the null hypothesis that these data constitute a random sample from a normal population, proceed with the following steps: Tons of Sulfur Freq. 5.0-8.99 9.0-12.99 13.0-16.99 17.0-20.99 21.0-24.99 25.0-28.99 29.0-32.99 C. 3 10 14 25 17 a. Find the probabilities that a random variable having the normal distribution with u-18.85 and 0-5.5 will take on a value less than 8.95, between 8.95 and 12.95, between 12.95 and 16.95, between 16.95 and 20.95, between 20.995 and 24.95, between 24.95 and 28.95, and greater than 28.95. b. Changing the first and last classes of the distribution to "8.95 or less" and "28.95 or more" find the expected normal curve frequencies corresponding to the seven classes of the distribution by multiplying the probabilities obtained in part (a) by the total frequency of 80. Test at the 0.05 level of significance whether the given data may be looked upon as a random sample from a normal distribution. Recall: expected values for any cell cannot be below 5; combine cells if needed. 9 2
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