STAT TECH IN BUSINESS & ECON LL\AC
18th Edition
ISBN: 9781264720545
Author: Lind
Publisher: MCG
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Chapter 12, Problem 11E
a.
To determine
Obtain the null and the alternative hypotheses.
b.
To determine
Give the decision rule.
c.
To determine
Find the values of SST, SSE and SS total.
d.
To determine
Find an ANOVA table.
e.
To determine
Find the decision regarding the null hypothesis.
f.
To determine
Check whether there is significant difference between treatment 1 and treatment 2, if null hypothesis is rejected by using the 95% level of confidence.
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For an ANOVA comparing three treatment conditions, what is stated by the null hypothesis (H0)?
a. There are no differences between any of the population means.
b. At least one of the three population means is different from another mean.
c. All three of the population means are different from each other.
d. None of the other choices is correct.
make it so i could copy and paste it
Chantix (varenicline) is a drug used as an aid for those who want to
stop smoking. The adverse reaction of nausea has been studied in
clinical trials, and the table below summarizes results. Use a 0.01
significance level to test the claim that nausea is independent of
whether the subject took a placebo or Chantix.
Placebo
Chantix
Nausea
10
30
No Nausea
795
791
1.What is the conclusion of this study?
2.What is the decision rule of this study?
3. What is the computed Chi-square value?
Chapter 12 Solutions
STAT TECH IN BUSINESS & ECON LL\AC
Ch. 12 - Steele Electric Products Inc. assembles cell...Ch. 12 - What is the critical F value when the sample size...Ch. 12 - Prob. 2ECh. 12 - Prob. 3ECh. 12 - Prob. 4ECh. 12 - Prob. 5ECh. 12 - Prob. 6ECh. 12 - Prob. 2SRCh. 12 - Prob. 7ECh. 12 - Prob. 8E
Ch. 12 - Prob. 9ECh. 12 - Prob. 10ECh. 12 - Prob. 3SRCh. 12 - Prob. 11ECh. 12 - The following are six observations collected from...Ch. 12 - Prob. 13ECh. 12 - Prob. 14ECh. 12 - Prob. 4SRCh. 12 - Prob. 15ECh. 12 - For exercises 15 and 16, conduct a test of...Ch. 12 - Prob. 17ECh. 12 - Prob. 18ECh. 12 - Prob. 5SRCh. 12 - Prob. 19ECh. 12 - Prob. 20ECh. 12 - Prob. 21ECh. 12 - Prob. 22ECh. 12 - Prob. 23CECh. 12 - Prob. 24CECh. 12 - Prob. 25CECh. 12 - Prob. 26CECh. 12 - In an ANOVA table, the MSE is equal to 10. Random...Ch. 12 - Prob. 28CECh. 12 - Prob. 29CECh. 12 - Prob. 30CECh. 12 - Prob. 31CECh. 12 - Prob. 32CECh. 12 - Prob. 33CECh. 12 - Prob. 34CECh. 12 - Prob. 35CECh. 12 - Prob. 36CECh. 12 - Prob. 37CECh. 12 - Prob. 38CECh. 12 - Prob. 39CECh. 12 - Prob. 40CECh. 12 - Prob. 41CECh. 12 - Prob. 42CECh. 12 - Prob. 43CECh. 12 - Prob. 44CECh. 12 - Prob. 45CECh. 12 - Prob. 46CECh. 12 - Prob. 47CECh. 12 - Prob. 48CECh. 12 - Prob. 50DACh. 12 - Prob. 51DACh. 12 - Prob. 1PCh. 12 - Prob. 2PCh. 12 - Prob. 3PCh. 12 - Prob. 4PCh. 12 - Prob. 5PCh. 12 - Prob. 6PCh. 12 - Prob. 7PCh. 12 - Prob. 1CCh. 12 - Prob. 2CCh. 12 - Prob. 1.1PTCh. 12 - The likelihood of rejecting a true null hypothesis...Ch. 12 - Prob. 1.3PTCh. 12 - Prob. 1.4PTCh. 12 - Prob. 1.5PTCh. 12 - Prob. 1.6PTCh. 12 - In a two-tailed test, the rejection region is...Ch. 12 - Prob. 1.8PTCh. 12 - Prob. 1.9PTCh. 12 - Prob. 1.10PTCh. 12 - Prob. 2.1PTCh. 12 - Prob. 2.2PTCh. 12 - Prob. 2.3PT
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- The accompanying table lists body temperatures (in °F) obtained from randomly selected subjects. Using a 0.05 significance level, test for an interaction between gender and smoking, test for an effect from gender, and test for an effect from smoking. What do you conclude? Click the icon to view the body temperature data. First test for an interaction between the two factors. Determine the null and alternative hypotheses. Choose the correct answer below. A. Ho: Body temperatures are not affected by gender. H₁: Body temperatures are affected by gender. B. Ho: Body temperatures are not affected by an interaction between gender and smoking. H₁: Body temperatures are affected by an interaction between gender and smoking. C. Ho: Body temperatures are affected by an interaction between gender and smoking. H₁: Body temperatures are not affected by an interaction between gender and smoking. D. Ho: Body temperatures are not affected by smoking. H₁: Body temperatures are affected by smoking.…arrow_forwardTest the claim that the proportion of people who own cats is significantly different than 30% at the 0.01 significance level. The null and alternative hypothesis would be: 0.3 Но: р > 0.3 Но:р > 0.3 Но:р — 0.3 Но:р 0.3 H1 :µ + 0.3 H1: H 0.3 The test is: two-tailed right-tailed left-tailed Based on a sample of 800 people, 39% owned cats The p-value is: (to 2 decimals) Based on this we: Fail to reject the null hypothesis Reject the null hypothesisarrow_forwardVery large random samples of Catholics, Protestants, and people with no religious affiliation have been questioned about their opinions on capiital punishment. On a ten point scale, the Protestants average 6.9, the Catholics averaged 7.0, and the people with no religious affiliation averaged 7.1. These differences were tested by ANOVA and found to be statistically significant. What is the most reasonable conclusion? a. This is a statistically significant and important difference b. This difference may be statistically significant but it seems unimportant c. This difference is due to random chance d. The researcher should have used sample means rather than proportions in this situationarrow_forward
- For an ANOVA comparing three treatment conditions, what is stated by alternate hypothesis (H1)? a. There are no differences between any of the population means. b. At least one of the three population means is different from another mean. c. All three of the population means are different from each other. d. None of the other choices is correctarrow_forwardWhat is stated by the alternative hypothesis (H1) for an ANOVA? Explain. a. There are no differences between any of the population means. b. At least one of the population means is different from another mean. c. All of the population means are different from each other. d. None of the other 3 choices is correct.arrow_forwardState the hypotheses for each of the three separate tests included in the two-factor ANOVA.arrow_forward
- Use a 0.05 significance level to test the claim that there is a difference between the actual and reported heights, in inches, for 12-16 year old boys. The data is listed in the table below. Click the icon to view the data table of the reported heights. Let μ₁ denote the median of the first variable and μ₂ denote the median of the second variable. What are the null and alternative hypotheses? OA. Ho: H₁ H₂ H₁: H₁ H₂ C. Ho: H₁ H2 H₁: H₁ H₂ Find the test statistic. Test statistic = -2.26 (Round to two decimal places as needed.) CH More Info OB. Ho: H₁ H₂ H₁: P1 P₂ OD. Ho: ₁2H₂ H₁ H₁ H₂ Actual 61.9 67.9 71.2 61.4 62.3 68.8 65.9 70.8 61.9 66.7 Reported 62 68 71 62 61 69 66 70 62 67 Actual 59.6 71.9 64.5 64.4 71.9 69.1 68.8 68.1 71.7 62.5 Reported 60 72 64 64 72 69 68 68 72 62 Actual 65.2 59.9 64.8 65.5 67 Reported 65 60 65 66 67 Print 68.7 65.2 71.4 69.2 60.9 69 65 72 69 61 Done - Xarrow_forwardBelow is the completed question for the last question. Reject / fail to reject H0. At the 4% significance level, there is / is not enough evidence to reject / support the claim.arrow_forwardAccording to a Health of Boston report, female residents in Boston have a higher average life expectancy as compared to male residents (The Boston Globe, August 16, 2010). You collect the following sample data to test the following hypotheses at 0.01 level of significance: Ho: H1s H2 versus H1: H1 >H2, where females represent group 1 and males represent group 2. Females 81.1 Males Мean 74.8 Sample Size 32 32 Assume the population standard deviations of life expectancy are 8.2 and 8.6 for females and males, respectively. What is(are) the critical value(s)? Select one: O None of these are correct 2.390 O +2.575 O 2.33 O +2.660arrow_forward
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