Question: Question 1 How does logging in a tropical rain for... Question 1 How d
ID: 3267824 • Letter: Q
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Question: Question 1
How does logging in a tropical rain for... Question 1 How does logging in a tropical rain forest affect the forest several years later? Researchers compared forest plots in Borneo that had never been logged (Group 1) with similar plots nearby that had been logged 1 year earlier (Group 2) and 8 years earlier (Group 3). The response variable is the count of different tree species in a plot. We can consider the selection random. Can we use ANOVA (analysis of variance) to analyze these data? Select one:
a. Yes, because the response variable is quantitative and there are three categories.
b. No, because even though there are three groups of logged plots, the response variable is categorical.
c. No, because the explanatory variable and the response variable are both quantitative.
A consumer group plans a comparative study of the mean life of four different brands of batteries. Ten batteries of each brand will be randomly selected and the time until the energy level falls below a pre-specified level measured. Performing six separate pooled two-sample t tests of significance to compare the mean life of the four different brands of batteries is a bad idea. Why? Select one:
a. The overall for all tests combined is inflated.
b. The standard error for each test is quadrupled.
c. The six test statistics must be averaged.
d. All six P-values have to be interpreted as a group.
Question 4 Which of the following is the appropriate alternative hypothesis for the null hypothesis: H0: µA = µB= µC = µD? In this problem, µA = mean time of brand A, µB = mean time of brand B, etc. Select one:
a. Ha: µA µB µC µD
b. Ha: µA µB , µA µC , µA µD , µB µC , µB µD , µC µD
c. Ha: µA µB , µB µC , µC µD
d. Ha: At least one mean is different.
e. Ha: None of the means are equal.
Question 5 In order to analyze the data with ANOVA we need randomzation. How do we know that the randomzation condition is met? Select one:
a. The batteries are randomly allocated to the four brands.
b. Separate random samples of batteries are selected from each brand.
c. One SRS of batteries is selected from a collection of batteries of all brands.
Question 6 Were the data appropriately collected for performing ANOVA? Select one:
a. Yes, because ten batteries were randomly selected from each brand of battery.
b. Yes, because the batteries were randomly allocated to the four brands of batteries.
c. No, because the forty batteries were all purchased at a local department store.
d. No, because the forty batteries were not randomly allocated to the four brands of batteries.
Question 9 From the output above, what is the F-test statistic value? Select one:
a. 365.28
b. 264.50
c. 121.76
d. 16.57
e. 0.000
Question 10 If we assume all conditions are met, using the P-value from the output, what can we conclude at = 0.01? Select one:
a. Reject the null hypothesis and conclude that at least one mean differs from the other means.
b. Fail to reject the null hypothesis and conclude that there is insufficient evidence to say that the means are not all equal.
Question 11 We assume the conditions were met, on the basis of the confidence intervals given in the output, which brand has a mean time that is significantly higher than the means of the other three brands? Select one:
a. Brand A
b. Brand B
c. Brand C
d. Brand D
Question 12 True or false: On the basis of the confidence interval plots given in the output, the mean life for Brand B batteries is significantly greater than the mean life for Brand A batteries. Select one:
a. True
b. False
.
Explanation / Answer
(first)How does logging in a tropical rain for...
right choice is a. Yes, because the response variable is quantitative and there are three categories.
(second) A consumer group plans a comparative study of the mean life of four different brands of batteries. Ten batteries of each brand will be randomly selected and the time until the energy level falls below a pre-specified level measured. Performing six separate pooled two-sample t tests of significance to compare the mean life of the four different brands of batteries is a bad idea. Why? Select one:
right choice a. The overall for all tests combined is inflated.
Question 4 Which of the following is the appropriate alternative hypothesis for the null hypothesis: H0: µA = µB= µC = µD? In this problem, µA = mean time of brand A, µB = mean time of brand B, etc.
right choice d. Ha: At least one mean is different.
Question 5 In order to analyze the data with ANOVA we need randomzation. How do we know that the randomzation condition is met? Select one:
right choice is b. Separate random samples of batteries are selected from each brand.
Question 6 Were the data appropriately collected for performing ANOVA? Select one:
right choice a. Yes, because ten batteries were randomly selected from each brand of battery.
Question 9 From the output above, what is the F-test statistic value?
output was not given (please share)
Question 10 If we assume all conditions are met, using the P-value from the output, what can we conclude at = 0.01?
P-value is given,
if p-value is less than alpha=0.01, reject null hypothesis H0
Question 11 & 12:::please share the whole data on batteries or output of the analysis
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