a) what is the independent variable and dependent variable b) calculate the analysis of variance by hand and complete the 4 step process.c) calculate Tukey’s HSD by hand and determine which means are significantly different from each other. d) Review the SPSS output and confirm your answers. which value do you examine on the statistical output tables to know if you have a significant effect? 1) Craik and Lockhart (1972) proposed a model of memory that the degree to which verbalmaterial is remembered by the participant is a function of the degree to which it was processedwhen it was initially presented. For example, imagine that you are asked to memorize a list ofwords. Repeating a word to yourself (a low level of processing) would not be expected to leadto as good recall as thinking about each word and trying to form associations between thatword and some other word. Eysenck (1974) was interested in testing this model and looking tosee whether "levels of processing" influence ability to recall verbal material. Fifty participantswere randomly assigned to one of five groups:Counting: asked to read through a list of words and simply count the number ofletters in each word (low level of processing)• Rhyming: read each word and thinking of a corresponding rhyming wordAdjective: read each word and think of a corresponding adjectiveImagery: form vivid images of each word (deep level of processing)Intentional: read list of words and memorize (strategy is left open to vary)After reading through the list of words 3 times and applying one of the above strategiesdepending on condition, all participants were asked to write down all the words they couldremember. The data is presented below:CountingRhymingAdjectiveImageryIntentional9.71112108.13111966.816148.6.6.11106.149.10411112311131214131015810191111111163o7 DescriptivesRecall95% Confidence Interval forМeanMeanStd. DeviationStd. ErrorLower BoundUpper BoundMinimum MaximumCounting107.00001.82574.577355.69398.30614.0010.00Rhyming106.90002.13177.674125.37508.42503.0011.00Adjective1011.00002.49444.788819.215612.78446.0014.00Imagery1013.40004.501851.4236110.179616.62049.0023.00Intentional1012.00003.741661.183229.323414.67665.0019.00Total5010.06004.00719566708.921211.19883.0023.00ANOVARecallSum of Squares dfMean Square FSig.Between Groups351.520487.8809.085000Within Groups435.300459.673Total786.82049

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Description: a) what is the independent variable and dependent variable b) calculate the analysis of variance by hand and complete the 4 step process.c) calculate Tukey’s HSD by hand and determine which means are significantly different from each other. d) Review

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MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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a) what is the independent variable and dependent variable b) calculate the analysis of variance by hand and complete the 4 step process. c) calculate Tukey’s HSD by hand and determine which means are significantly different from each other. d) Review the SPSS output and confirm your answers. which value do you examine on the statistical output tables to know if you have a significant effect?

1) Craik and Lockhart (1972) proposed a model of memory that the degree to which verbal
material is remembered by the participant is a function of the degree to which it was processed
when it was initially presented. For example, imagine that you are asked to memorize a list of
words. Repeating a word to yourself (a low level of processing) would not be expected to lead
to as good recall as thinking about each word and trying to form associations between that
word and some other word. Eysenck (1974) was interested in testing this model and looking to
see whether "levels of processing" influence ability to recall verbal material. Fifty participants
were randomly assigned to one of five groups:
Counting: asked to read through a list of words and simply count the number of
letters in each word (low level of processing)
• Rhyming: read each word and thinking of a corresponding rhyming word
Adjective: read each word and think of a corresponding adjective
Imagery: form vivid images of each word (deep level of processing)
Intentional: read list of words and memorize (strategy is left open to vary)
After reading through the list of words 3 times and applying one of the above strategies
depending on condition, all participants were asked to write down all the words they could
remember. The data is presented below:
Counting
Rhyming
Adjective
Imagery
Intentional
9.
7
11
12
10
8.
13
11
19
6
6.
8
16
14
8.
6.
6.
11
10
6.
14
9.
10
4
11
11
23
11
13
12
14
13
10
15
8
10
19
11
11
11
11
63o7

Descriptives
Recall
95% Confidence Interval for
Мean
Mean
Std. Deviation
Std. Error
Lower Bound
Upper Bound
Minimum Maximum
Counting
10
7.0000
1.82574
.57735
5.6939
8.3061
4.00
10.00
Rhyming
10
6.9000
2.13177
.67412
5.3750
8.4250
3.00
11.00
Adjective
10
11.0000
2.49444
.78881
9.2156
12.7844
6.00
14.00
Imagery
10
13.4000
4.50185
1.42361
10.1796
16.6204
9.00
23.00
Intentional
10
12.0000
3.74166
1.18322
9.3234
14.6766
5.00
19.00
Total
50
10.0600
4.00719
56670
8.9212
11.1988
3.00
23.00
ANOVA
Recall
Sum of Squares df
Mean Square F
Sig.
Between Groups
351.520
4
87.880
9.085
000
Within Groups
435.300
45
9.673
Total
786.820
49

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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