Background: Anorexia is well known to be difficult to treat. The data set provided below contains...

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Background: Anorexia is well known to bedifficult to treat. The data set provided below contains data onthe weight gain for three groups of young female anorexia patients.These groups include a control group, a group receiving cognitivebehavioral therapy and a group receiving family therapy.Source: Hand, D. J., Daly, F., McConway, K., Lunn,D. and Ostrowski, E. eds (1993) A Handbook of Small Data Sets.Chapman & Hall, Data set 285 (p. 229).

Directions: Click on the Data button below todisplay the data. Copy the data into a statistical software packageand click the Data button a second time to hide it. Then perform ananalysis of variance (ANOVA) to determine whether or not thedifferences in weight gain between the treatment groups isstatistically significant.

Data

ControlCBTFamily
-0.51.711.4
-9.30.711
-5.4-0.15.5
12.3-0.79.4
-2-3.513.6
-10.214.9-2.9
-12.23.5-0.1
11.617.17.4
-7.1-7.621.5
6.21.6-5.3
-0.211.7-3.8
-9.26.113.4
8.31.113.1
3.3-49
11.320.93.9
0-9.15.7
-12.110.7
-10.6-1.4
-4.61.4
-6.7-0.3
2.8-3.7
0.3-0.8
1.82.4
3.712.6
15.91.9
-10.23.9
0.1
15.4
-0.7
  1. State the null and alternativehypotheses.


  2. Compute the test statistic. Document how SSTrand SSE were computed. Use 4 decimal places for the sample means,sample standard deviations and the grand mean and round youranswers for SSTr and SSE to 2 decimal places

    Use the values for SSTr and SSE to complete the following ANOVAtable. Round each of your answers to 2 decimal places.

    SourceS.S.dfM.S.F
    Treatment
    Error
    Total
  3. Compute the p-value. Provide the nameof the distribution and the parameters used to compute thep-value. Then enter your answer rounded to 4 decimalplaces.


  4. Interpret the results of the significancetest. Is this result statistically significant? Is thisresult important from a practical perspective?

Answer & Explanation Solved by verified expert
4.1 Ratings (854 Votes)

using excel>data>data analysis>one way anova

we have

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Control 29 3.1 0.106897 65.64567
CBT 26 72.4 2.784615 52.74135
Family 17 123.5 7.264706 51.22868
ANOVA
Source of Variation SS df MS F P-value F crit
treatment 549.1148 2 274.5574 4.764378 0.011529 3.129644
error 3976.271 69 57.62712
Total 4525.386 71

Ans a )

the null and alternative hypotheses is

Ho: there is no significant differences in weight gain between the treatment groups .

Ha: there is significant differences in weight gain between the treatment groups .

Source of Variation SS df MS F
treatment 549.12 2 274.56 4.76
error 3976.27 69 57.63
Total 4525.39 71

the p-value is 0.0115

since p value is less than 0.05 so we reject Ho and conclude that there is significant differences in weight gain between the treatment groups .


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