Chapter 8: Q4E (page 452)
Refer to Exercise 11.3. Find the equations of the lines that pass through the points listed in Exercise 11.1.
Short Answer
- y = x
- y = 3 – x
- y = (6/5) + (x/5)
- y = (15/4) + (9x/8)
Chapter 8: Q4E (page 452)
Refer to Exercise 11.3. Find the equations of the lines that pass through the points listed in Exercise 11.1.
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Get started for freeIt is desired to test H0: m = 75 against Ha: m 6 75 using a = .10. The population in question is uniformly distributed with standard deviation 15. A random sample of size 49 will be drawn from the population.
a. Describe the (approximate) sampling distribution of x under the assumption that H0 is true.
b. Describe the (approximate) sampling distribution of x under the assumption that the population mean is 70.
c. If m were really equal to 70, what is the probability that the hypothesis test would lead the investigator to commit a Type II error?
d. What is the power of this test for detecting the alternative Ha: m = 70?
Is honey a cough remedy? Refer to the Archives of Pediatrics and Adolescent Medicine (December 2007) study of honey as a remedy for coughing, Exercise 2.31 (p. 86). Recall that the 105 ill children in the sample were randomly divided into groups. One group received a dosage of an over-the-counter cough medicine (DM); another group received a dosage of honey (H). The coughing improvement scores (as determined by the children’s parents) for the patients in the two groups are reproduced in the accompanying table. The pediatric researchers desire information on the variation in coughing improvement scores for each of the two groups.
a. Find a 90% confidence interval for the standard deviation in improvement scores for the honey dosage group.
b. Repeat part a for the DM dosage group.
c. Based on the results, parts a and b, what conclusions can the pediatric researchers draw about which group has the smaller variation in improvement scores? (We demonstrate a more statistically valid method for comparing variances in Chapter 8.)
Honey Dosage | 11 12 15 11 10 13 10 13 10 4 15 16 9 14 10 6 10 11 12 12 8 12 9 11 15 10 15 9 13 8 12 10 9 5 12 |
DM Dosage | 4 6 9 4 7 7 7 9 12 10 11 6 3 4 9 12 7 6 8 12 12 4 12 13 7 10 13 9 4 4 10 15 9 |
Question: Independent random samples n1 =233 and n2=312 are selected from two populations and used to test the hypothesis against the alternative
.a. The two-tailed p-value of the test is 0.1150 . Interpret this result.b. If the alternative hypothesis had been , how would the p-value change? Interpret the p-value for this one-tailed test.The data for a random sample of six paired observations are shown in the next table.
a. Calculate the difference between each pair of observations by subtracting observation two from observation 1. Use the differences to calculate .
b. If are the means of populations 1 and 2, respectively, expressed in terms of .
Pair | Sample from Population 1 (Observation 1) | Sample from Population 2(Observation 2) |
c. Form a confidence interval for .
d. Test the null hypothesis against the alternative hypothesis . Use .
Drug content assessment. Refer to Exercise 8.16 (p. 467)and the Analytical Chemistry (Dec. 15, 2009) study in which scientists used high-performance liquid chromatography to determine the amount of drug in a tablet. Recall that 25 tablets were produced at each of two different, independent sites. The researchers want to determine if the two sites produced drug concentrations with different variances. A Minitab printout of the analysis follows. Locate the test statistic and p-value on the printout. Use these values and to conduct the appropriate test for the researchers.
Test and CI for two Variances: Content vs Site
Method
Null hypothesis
Alternative hypothesis
F method was used. This method is accurate for normal data only.
Statistics
Site N St Dev Variance 95% CI for St Devs
1 25 3.067 9.406 (2.195,4.267)
2 25 3.339 11.147 (2.607,4.645)
Ratio of standard deviation =0.191
Ratio of variances=0.844
95% Confidence Intervals
Method CI for St Dev Ratio CI Variance Ratio
F (0.610, 1.384) (0.372, 1.915)
Tests
Method DF1 DF2 Test statistic p-value
F 24 24 0.84 0.681
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