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Oneway Between Subjects Analysis of Variance 1. Does coffee help people become sober more quickly after drinking too much? A sample of 40 volunteers is randomly divided into four groups of 10 subjects...

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Oneway Between Subjects Analysis of Variance
1. Does coffee help people become sober more quickly after drinking too much? A sample of 40 volunteers is randomly divided into four groups of 10 subjects each. One of these groups serves as a control and receives no alcohol. Subjects in each of the other three groups drink a fixed amount of alcohol in a 1-hour period. During the next half-hour, subjects in the second group drink two cups of decaffeinated coffee, subjects in the third group drink two cups of regular coffee, and subjects in the fourth group drink two cups of water. Finally, all subjects are given a reaction-time test to determine mental alertness with the lower the score on the test, the quicker the reaction time and thus greater alertness. The following data were gathered:
            
    CONTROL
     DECAF
     REGULAR
     WATER
    184
    221
    189
    196
    197
    218
    219
    201
    189
    226
    206
    215
    207
    230
    214
    198
    179
    205
    221
    229
    215
    216
    192
    228
    201
    195
    215
    209
    193
    216
    199
    192
    188
    191
    231
    231
    196
    205
    225
    216
Complete the ANOVA using an α = .05 for all statistical tests and answer the following questions:
a) What is the purpose of the random assignment of subjects to groups?
) Do we meet the assumption of homogeneity of variance? What specific information on the printout did you use to come to this conclusion?
c) Is the average reaction time the same for all four groups? What specific information on the printout did you use to come to your conclusion?
d) What proportion of variance in reaction times is associated with differences in the methods used in attempting to sober up the subjects?
e) Use the Tukey procedure to determine which pairs of groups differ in reaction time. Calculate Cohen’s d effect sizes for those pairwise differences found to be significant.
f) Use the Bonfe
oni procedure to determine which pairs of groups differ in reaction time. Do these results agree or disagree with the results of the Tukey test?
g) To whom, if anyone, can we generalize our findings?
h) Write a
ief Results section describing the findings of this experiment based on the analyses you have completed. You do NOT have to present results in tables.
Answered Same Day Oct 25, 2021

Solution

Pooja answered on Oct 28 2021
139 Votes
Oneway Between Subjects Analysis of Variance
1. Does coffee help people become sober more quickly after drinking too much? A sample of 40 volunteers is randomly divided into four groups of 10 subjects each. One of these groups serves as a control and receives no alcohol. Subjects in each of the other three groups drink a fixed amount of alcohol in a 1-hour period. During the next half-hour, subjects in the second group drink two cups of decaffeinated coffee, subjects in the third group drink two cups of regular coffee, and subjects in the fourth group drink two cups of water. Finally, all subjects are given a reaction-time test to determine mental alertness with the lower the score on the test, the quicker the reaction time and thus greater alertness. The following data were gathered:
            
    CONTROL
     DECAF
     REGULAR
     WATER
    184
    221
    189
    196
    197
    218
    219
    201
    189
    226
    206
    215
    207
    230
    214
    198
    179
    205
    221
    229
    215
    216
    192
    228
    201
    195
    215
    209
    193
    216
    199
    192
    188
    191
    231
    231
    196
    205
    225
    216
Complete the ANOVA using an α = .05 for all statistical tests and answer the following questions:
a) What is the purpose of the random assignment of subjects to groups?
The random assignment of subjects to groups means that each subject has equal and independent change of being included in groups. This makes a sample reliable and reduces biasedness.
) Do we meet the assumption of homogeneity of variance? What specific information on the printout did you use to come to this conclusion?
Null hypothesis, ho: there is homogeneity of variance.
Alternative hypothesis, h1: there is heterogeneity of variance.
    Test of Homogeneity of Variances
    alertness
    Levene Statistic
    df1
    df2
    Sig.
    .715
    3
    36
    .550
With W=0.715, P>5%, I fail to reject the null hypothesis and conclude that there is homogeneity of variance.
c) Is the average reaction...
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