Does Design A allow use of one-way ANOVA to compare the lists? Does Design B allow use of one-way ANOVA to compare the lists? Briefly explain your answers.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.4: Distributions Of Data
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how do you answer question 25.30?

Does Design A allow use of one-way ANOVA to compare
the lists? Does Design B allow use of one-way ANOVA to
compare the lists? Briefly explain your answers.
(b) What hypotheses does ANOVA test in this setting?
(c) We do not have all the data. What would you look for in
deciding whether you can safely use ANOVA!
(d) What is the relationship between the standard error of
the mean (SEM) and the standard deviation for a sample?
What are the four sample standard deviations? Do they satisfy
25.31 More rain for California? The changing climate
will probably bring more rain to California, but we don't know
whether the additional rain will come during the winter wet
season or extend into the long dry season in spring and sum-
mer. Kenwyn Suttle of the University of California at Berkeley
and his coworkers randomly assigned plots of open grassland to
three treatments: added water equal to 20% of annual rainfall
either during January to March (winter) or during April to June
(spring), and no added water (control). Here are some of the
data, for plant biomass (in grams per square meter) produced by
each plot in a single year:"
our rule of thumb for safe use of ANOVA?
25.30 Can you hear
these words? To test
whether a hearing aid is
right for a patient, audi-
ologists play a tape on
which words are pro-
nounced at low volume.
The patient tries to
repeat the words. There Phanieh Rehem
are several different lists
of words that are supposed to be equally difficult. Are the lists
equally difficult when there is background noise? To find out,
an experimenter had subjects with normal hearing listen to
four lists with a noisy background. The response variable was
the percent of the 50 words in a list that the subject repeated
cormectly. The data set contains 96 responses." Here are two
study designs that could produce these data:
BIOMASS2003
Winter
Spring
Control
264.1514
318.4182
129.0538
187.7312
281.6830
144.6578
291.1431
288.8433
172.7772
176.2879
382.6673
113.2813
141.7525
326.8877
142.1562
169.9737
293.8502
117.9808
Design A. The experimenter assigns 96 subjects to
4 groups at random. Each group of 24 subjects listens
to one of the lists. All individuals listen and respond
separately.
Figure 25.10 shows Minitab ANOVA output for these data.
(a) Make side-by-side stemplots of plant biomass for the
three treatments, as well as a table of the sample means and
standard deviations. What do the data appear to show about
the effect of extra water in winter and in spring on biomass!
Do these data satisfy the conditions for ANOVA!
Design B. The experimenter has 24 subjects. Each
subject listens to all four lists in random order. All indi-
viduals listen and respond separately.
Session
One-way ANOVA: biomass versus treatment
Source
Treatment
DF
2 97583 48792 27.52 0.000
15 26593
Error
1773
Total
17 124176
S- 42.11 R-sq - 78.58 R-sq(adj) - 75.738
Individual 9ss CIs For Mean Based on
Pooled StDev
Level
Mean stDev
Control 136.65 21.69 (----- )
6 315.39 37.34
Spring
Winter
(---------)
FIGURE 25.10
6 205.17
58.77
Minitab ANOVA output for com
paring the total plant biomass of
grassland plots under different water
conditions, for Exencise 25.31.
140
210
280
350
Pooled St Dev 42.11
Transcribed Image Text:Does Design A allow use of one-way ANOVA to compare the lists? Does Design B allow use of one-way ANOVA to compare the lists? Briefly explain your answers. (b) What hypotheses does ANOVA test in this setting? (c) We do not have all the data. What would you look for in deciding whether you can safely use ANOVA! (d) What is the relationship between the standard error of the mean (SEM) and the standard deviation for a sample? What are the four sample standard deviations? Do they satisfy 25.31 More rain for California? The changing climate will probably bring more rain to California, but we don't know whether the additional rain will come during the winter wet season or extend into the long dry season in spring and sum- mer. Kenwyn Suttle of the University of California at Berkeley and his coworkers randomly assigned plots of open grassland to three treatments: added water equal to 20% of annual rainfall either during January to March (winter) or during April to June (spring), and no added water (control). Here are some of the data, for plant biomass (in grams per square meter) produced by each plot in a single year:" our rule of thumb for safe use of ANOVA? 25.30 Can you hear these words? To test whether a hearing aid is right for a patient, audi- ologists play a tape on which words are pro- nounced at low volume. The patient tries to repeat the words. There Phanieh Rehem are several different lists of words that are supposed to be equally difficult. Are the lists equally difficult when there is background noise? To find out, an experimenter had subjects with normal hearing listen to four lists with a noisy background. The response variable was the percent of the 50 words in a list that the subject repeated cormectly. The data set contains 96 responses." Here are two study designs that could produce these data: BIOMASS2003 Winter Spring Control 264.1514 318.4182 129.0538 187.7312 281.6830 144.6578 291.1431 288.8433 172.7772 176.2879 382.6673 113.2813 141.7525 326.8877 142.1562 169.9737 293.8502 117.9808 Design A. The experimenter assigns 96 subjects to 4 groups at random. Each group of 24 subjects listens to one of the lists. All individuals listen and respond separately. Figure 25.10 shows Minitab ANOVA output for these data. (a) Make side-by-side stemplots of plant biomass for the three treatments, as well as a table of the sample means and standard deviations. What do the data appear to show about the effect of extra water in winter and in spring on biomass! Do these data satisfy the conditions for ANOVA! Design B. The experimenter has 24 subjects. Each subject listens to all four lists in random order. All indi- viduals listen and respond separately. Session One-way ANOVA: biomass versus treatment Source Treatment DF 2 97583 48792 27.52 0.000 15 26593 Error 1773 Total 17 124176 S- 42.11 R-sq - 78.58 R-sq(adj) - 75.738 Individual 9ss CIs For Mean Based on Pooled StDev Level Mean stDev Control 136.65 21.69 (----- ) 6 315.39 37.34 Spring Winter (---------) FIGURE 25.10 6 205.17 58.77 Minitab ANOVA output for com paring the total plant biomass of grassland plots under different water conditions, for Exencise 25.31. 140 210 280 350 Pooled St Dev 42.11
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