Calculate degree of freedom for an independent measure test


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Q: In a classic study of problem solving, Duncker (1945) asked participant to mount a candle on a wall in an upright position so that it would burn normally. One group was given a candle, a book of matches, and a box of tacks.  A second group was given the same items, except that the tacks and the box were presented separately as two distinct items.  The solution to the problems involves using the tacks to mount the box on the wall, creating a shelf for the candle.  Duncker reasoned that the first group of participants would have trouble seeing a "new" function for the box (as a shelf) because it was already serving a function (holding tacks).  For each participant, the amount of time to solve the problem was recorded.  Data similar to Duncker's are as follows:

Time to solve Problem (in seconds)

Box of tacks

128

160

113

101

94

 

Tacks and Box separate

42

24

68

35

47

 

n  = 5

 

n  = 5

M = 119.20

 

M = 43.20

SS = 2746.80

 

SS = 1066.80

Test the null hypothesis that there are no significant differences between the two groups.

1) State the null and alternative hypothesis and an alpha level of α = .01, two-tailed, to test the hypothesis (use both the appropriate symbol and words).

2) Calculate the degree of freedom for an independent measure test and locate the critical region (using the provided table; df=df1+df2)

3) Calculate the appropriate t statistic for the problem

4)  Make a decision and write an APA-style result section for your findings.  (do the data indicate a significant difference between the two conditions)?

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Basic Statistics: Calculate degree of freedom for an independent measure test
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