
Concept explainers
a.
To test: The claim that the sample is from a population with a
a.

Answer to Problem 1DA
There is no evidence to reject the claim that the sample is from a population with a median equal to 220 milligram percent of the serum cholesterol.
Explanation of Solution
Given info:
The data shows that the different measures of the people.
Calculation:
State the null and alternative hypothesis.
Null hypothesis:
That is, the sample is from a population with a median equal to 220 milligram percent.
Alternative hypothesis:
That is, the sample is from a population with a median not equal to 220 milligram percent.
Determine
Subtract the hypothesized median of 220 from with the sample of serum cholesterol.
Serum cholesterol |
|
210 | –10 |
206 | –14 |
215 | –5 |
223 | 3 |
200 | –20 |
250 | 30 |
220 | 0 |
187 | –33 |
186 | –34 |
193 | –27 |
The sample size is,
Critical value:
From Table J” Critical values for Sign test” for
Test statistic:
Condition:
If
If
Where
Here, the number of
Here, test statistic represents the smaller of the number of positive and negative signs. Thus, the test statistic is 2.
Decision:
If test statistic less than or equal to the critical value then reject the null hypothesis.
Conclusion:
The test statistic is 2 and the critical value is 1.
Here, test statistic is greater than the critical value.
That is,
Thus, do not reject the null hypothesis.
Hence, there is no evidence to reject the claim that the sample is from a population with a median equal to 220 milligram percent of the serum cholesterol.
b.
To test: The claim that the sample is from a population with a median equal to 120 millimeters of mercury of the systolic pressure by using the sign test.
b.

Answer to Problem 1DA
There is no evidence to reject the claim that the sample is from a population with a median equal to 120 millimeters of mercury of the systolic pressure.
Explanation of Solution
Calculation:
State the null and alternative hypothesis.
Null hypothesis:
That is, the sample is from a population with a median equal to 120 millimeters of mercury.
Alternative hypothesis:
That is, the sample is from a population with a median not equal to 120 millimeters of mercury.
Determine sample size n:
Subtract the hypothesized median of 120 from with the sample of systolic pressure.
Systolic Pressure |
|
129 | 9 |
131 | 11 |
115 | –5 |
122 | 2 |
119 | –1 |
131 | 11 |
121 | 1 |
117 | –3 |
142 | 22 |
123 | 3 |
The sample size is,
Critical value:
From Table J” Critical values for Sign test” for
Test statistic:
Condition:
If
If
Where
Here, the number of
Here, test statistic represents the smaller of the number of positive and negative signs. Thus, the test statistic is 3.
Decision:
If test statistic less than or equal to the critical value then reject the null hypothesis.
Conclusion:
The test statistic is 3 and the critical value is 1.
Here, test statistic is greater than the critical value.
That is,
Thus, do not reject the null hypothesis.
Hence, there is no evidence to reject the claim that the sample is from a population with a median equal to 120 millimeters of mercury of the systolic pressure.
c.
To test: The claim that the sample is from a population with a median equal to 100 for the IQ by using the sign test.
c.

Answer to Problem 1DA
There is no evidence to reject the claim that the sample is from a population with a median equal to 100 for the IQ.
Explanation of Solution
Calculation:
State the null and alternative hypothesis.
Null hypothesis:
That is, the sample is from a population with a median equal to 100.
Alternative hypothesis:
That is, the sample is from a population with a median not equal to 100.
Determine sample size n:
Subtract the hypothesized median of 100 from with the sample of IQ.
IQ |
|
106 | 6 |
99 | –1 |
101 | 1 |
121 | 21 |
99 | –1 |
95 | –5 |
100 | 0 |
121 | 21 |
103 | 3 |
127 | 27 |
The sample size is,
Critical value:
From Table J” Critical values for Sign test” for
Test statistic:
Condition:
If
If
Where
Here, the number of
Here, test statistic represents the smaller of the number of positive and negative signs. Thus, the test statistic is 3.
Decision:
If test statistic less than or equal to the critical value then reject the null hypothesis.
Conclusion:
The test statistic is 3 and the critical value is 1.
Here, test statistic is greater than the critical value.
That is,
Thus, do not reject the null hypothesis.
Hence, there is no evidence to reject the claim that the sample is from a population with a median equal to 100 for the IQ.
d.
To test: The claim that the sample is from a population with a median equal to 140 for the sodium by using the sign test.
d.

Answer to Problem 1DA
There is no evidence to reject the claim that the sample is from a population with a median equal to 140 mEq/l for the sodium level.
Explanation of Solution
Calculation:
State the null and alternative hypothesis.
Null hypothesis:
That is, the sample is from a population with a median equal to 140 mEq/l.
Alternative hypothesis:
That is, the sample is from a population with a median not equal to 140 mEq/l.
Determine sample size n:
Subtract the hypothesized median of 140 from with the sample of sodium.
Sodium |
|
136 | –4 |
140 | 0 |
144 | 4 |
132 | –8 |
139 | –1 |
146 | 6 |
143 | 3 |
146 | 6 |
131 | –9 |
145 | 5 |
The sample size is,
Critical value:
From Table J” Critical values for Sign test” for
Test statistic:
Condition:
If
If
Where
Here, the number of
Here, test statistic represents the smaller of the number of positive and negative signs. Thus, the test statistic is 4.
Decision:
If test statistic less than or equal to the critical value then reject the null hypothesis.
Conclusion:
The test statistic is 4 and the critical value is 1.
Here, test statistic is greater than the critical value.
That is,
Thus, do not reject the null hypothesis.
Hence, there is no evidence to reject the claim that the sample is from a population with a median equal to mEq/l for the sodium level.
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Chapter 13 Solutions
Elementary Statistics: A Step By Step Approach
- ian income of $50,000. erty rate of 13. Using data from 50 workers, a researcher estimates Wage = Bo+B,Education + B₂Experience + B3Age+e, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. A portion of the regression results is shown in the following table. ni ogolloo bash 1 Standard Coefficients error t stat p-value Intercept 7.87 4.09 1.93 0.0603 Education 1.44 0.34 4.24 0.0001 Experience 0.45 0.14 3.16 0.0028 Age -0.01 0.08 -0.14 0.8920 a. Interpret the estimated coefficients for Education and Experience. b. Predict the hourly wage rate for a 30-year-old worker with four years of higher education and three years of experience.arrow_forward1. If a firm spends more on advertising, is it likely to increase sales? Data on annual sales (in $100,000s) and advertising expenditures (in $10,000s) were collected for 20 firms in order to estimate the model Sales = Po + B₁Advertising + ε. A portion of the regression results is shown in the accompanying table. Intercept Advertising Standard Coefficients Error t Stat p-value -7.42 1.46 -5.09 7.66E-05 0.42 0.05 8.70 7.26E-08 a. Interpret the estimated slope coefficient. b. What is the sample regression equation? C. Predict the sales for a firm that spends $500,000 annually on advertising.arrow_forwardCan you help me solve problem 38 with steps im stuck.arrow_forward
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- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
