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Rock Sparrows. Rock Sparrows breeding in northern Italy are the subject of a long-term ecology and conservation study due to their wide variety of breeding patterns. Both males and females have a yellow patch on their breasts that is thought to play a significant role in their sexual behavior. A Pilastro et al. concluded an experiment in which they increased or reduced the size of a female's breast patch by dying feathers at the edge of a patch and then observed several characteristics of the behavior of the male. Their results were published in the paper "Male Rock Sparrows Adjust Their Breeding Strategy According to Female Ornamentation: Parental or Mating Investment?" (Animal Behaviour, Vol. 66, Issue 2, pp. 265-271). Eight mating pairs were observed in each of three groups: a reduced-patch-size group, a control group, and an enlarged-patch-size group. The data on the WeissStats site, based on the results reported by the researchers, give the number of minutes per hour that males sang in the vicinity of the nest after the patch size manipulation was done on the females.

Short Answer

Expert verified

The ratio of the largest and smallest standard deviation is2.7

Step by step solution

01

Step 1: 

a.

Examine the data to evaluate if there is enough evidence to establish that the three types of breast treatments had different mean singing rates in male Rock Sparrows.

It is necessary to state the null and alternative hypotheses.

Null Hypothesis:

H0:Northeast=Reduced=Control=Enlarged

That is, the mean singing rates of male Rock Sparrows treated with the three breast treatments are identical.

Alternative hypothesis:

Ha: A minimum of one 1in comparison to others.

That is, the mean singing rates of male Rock Sparrows treated to three different types of breast treatments varied.

The importance level here is, =0.01

02

Computation

Calculate the value of the test statistic:

MINITAB procedures:

Step 1: Select Stat > ANOVA > One-Way Analysis from the menu bar.

Step 2: Type Rate in the Response section.

Step 3: In the Factor column, type Breast.

Step 4: Press the OK key.

03

MINITAB Output

One-way ANOVA: RATE versus BREAST

Method

Null hypothesis All resources are equal.

Alternative hypothesis One of the means is different.

Significance level =0.01

For the sake of the analysis, equal variances were assumed.

Factor Information

Factor Levels Values

Breast 3 Control, Enlarged, Reduced

Analysis of Variance

Source DF Adj ss Adj MS F-Value P-Value

BREAST 2 960.3 480.14 6.09 0.008

Error 21 1655.3 78.82

Total 23 2615.6

Model Summary

S R-sq R-sq(adj) R-sq(pred)

8.87834 36.71% 30.69% 17.34%

Means

BREAST N Mean stDev 99%CI

Control 8 14.84 6.56 (5.95,23.73)

Enlarged 8 19.78 13.05 (10.89,28.66)

Reduced 8 4.59 4.82 (-4.30,13.48)

Pooled StDev =8.87834

The value of F is 6.09and the p-value is 0.008according to the MINITAB output.

04

p-value approach

b.

p-value approach:

MINITAB calculated a p-value of 0.008.

Rejection Rule:

The null hypothesis must be rejected if Pan is true.

The p-value is 0.008, which is below the threshold of significance. That is. p(=0.008)<a=(0.001). As a result, the null hypothesis is rejected at a 1%level.

As a result, at the 1%level of significance, the test results might be declared statistically significant.

05

Interpretation

The findings are sufficient to show that there is a difference in mean singing rates among male Rock Sparrows exposed to the three types of breast treatments at a 1%level of significance.

06

MINITAB procedure

c.

The residual and residual versus fits normal probability graphs should be obtained.

MINITAB PROCEDURES:

To begin, go to Stat > ANOVA > One-way ANOVA.

Step 2: Type Rate in the Response section.

Step 3: In the Factor column, type Breast.

Step 4: In the graph, select normal probability of residual and residual versus fits.

Step 5: Press the OK key.

07

Graph

MINITAB output: Residual normal probability plot

08

Step 8: 

MINITAB output: Fits vs. residues

09

Result

The largest to smallest standard deviation ratio is,

Ratio=13.054.82=2.7

The highest to smallest deviation ratio is more than 2. This shows that the equal standard deviation assumption has been broken.

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Most popular questions from this chapter

Pancake Experiment Listed below are ratings of pancakes made by experts (based on data from Minitab). Different pancakes were made with and without a supplement and with different amounts of whey. The results from two-way analysis of variance are shown. Use the displayed results and a 0.05 significance level. What do you conclude?

Whey


0%

10%

20%

30%

No Supplement

4.4

4.5

4.3

4.6

4.5

4.8

4.5

4.8

4.8

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5.1

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3.3

3.2

3.1

3.8

3.7

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4.8

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No Treatment

Fertilizer

Irrigation

Fertilizer and Irrigation

1.21

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  1. Use a 0.05 significance level to test the claim that the different treatments result in the same mean weight.
  1. What do the displayed Bonferroni SPSS results tell us?
  1. Use the Bonferroni test procedure with a 0.05 significance level to test for a significant difference between the mean amount of the irrigation treatment group and the group treated with both fertilizer and irrigation. Identify the test statistic and either the P-value or critical values. What do the results indicate?

Flight Departure Delays Listed below are departure delay times (minutes) for American Airlines flights from New York to Los Angeles. Negative values correspond to flights that departed early. Use a 0.05 significance level to test the claim that the different flights have the same mean departure delay time. What notable feature of the data can be identified by visually examining the data?

Flight 1

-2

-1

-2

2

-2

0

-2

-3

Flight 19

19

-4

-5

-1

-4

73

0

1

Flight21

18

60

142

-1

-11

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47

13

Lead and Full IQ Scores Example 1 used measured performance IQ scores for three different blood lead levels. If we use the same three categories of blood lead levels with the fullIQ scores, we get the accompanying Excel display. (The data are listed in Data Set 7 鈥淚Q and Lead鈥 in Appendix B.) Using a 0.05 significance level, test the claim that the three categories of blood lead level have the same mean full IQ score. Does it appear that exposure to lead has an effect on full IQ scores?

Two-Way ANOVA The pulse rates in Table 12-3 from Example 1 are reproduced below with fabricated data (in red) used for the pulse rates of females aged 30鈥49. What characteristic of the data suggests that the appropriate method of analysis is two-way analysis of variance? That is, what is 鈥渢wo-way鈥 about the data entered in this table?


Female

Male

18-29

104

82

80

78

80

84

82

66

70

78

72

64

72

64

64

70

72

30-49

46

54

76

66

78

68

62

52

60

60

80

90

58

74

96

72

58

50-80

94

72

82

86

72

90

64

72

72

100

54

102

52

52

62

82

82

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