Chapter 14: Independent Group t-Test Flashcards

1
Q

When do you go by correlated group design?

A
  • Null- hypothesis population u and o are unknown

- differences between PAIRED scores are analyzed.

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2
Q

Experiment with two conditions?

A
  • random sampling of subjects from population.
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3
Q

What are the characteristics of Independent groups design?

  • ____ of subjects from population
  • _____ assignment to each condition
  • Each subject is tested how many times?
  • What are analyzed?
  • t-test analyzes what?
A
  • Random sampling of subjects from population
  • Random assignment to each condition
  • No basis for pairing of scores
  • Each subject is tested ONLY once
  • Raw scores are analyzed
  • t-test analyzes difference between sample means.
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4
Q

What are the alternative hypotheses for Directional and Nondirectional?

A
  • U1 > U2 or U1
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5
Q

What are the null hypotheses for Directional and Nondirectional?

A
  • U1 <= U2 ( directional )

- U1 = U2 (nondirectional)

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6
Q

Sample scores from condition 1 include:?

A
  • U1= mean of pop that receives condition 1

- O1 = standard deviation of the pop that receives condition 1.

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7
Q

Sample scores from condition 2 include:?

A
  • U2= mean of pop that receives condition 2

- O2= standard deviation of the pop that receives condition 2

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8
Q

What is the major assumption of independent groups design?(3)

A
  • changing level of IV affects MEAN ONLY
  • Does not affect standard deviation or variance
    Therefore: O^2 1 = O^2 1
  • If IV has a real effect the means will differ, not variance
    L> IV assumed to equally affect each individual
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9
Q

Sampling distribution of the difference between sample means ( X1-X2):

  • Draw all possible samples of __ and ___, from a population of __ and __, and standard deviation of __ and __.
  • Calculate __ and __ for each sample
  • Calculate __-__ for all possible pairings of samples of size __ and __.
A
  • n1, n2, u1, u2, o1, o2
  • Xbar 1, Xbar 2
  • Xbar 1- Xbar 2
  • n1 and n2
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10
Q

What is the formula for t-test of independent groups?

A
  • Tobt = (X1-X2) - uX1- uX2/ square root of: S^2w( 1/n1 + 1/n2)
  • ## S^2w = weighted estimate of o^2 (variance)
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11
Q

What is the computational equation for tobt???

A
  • tobt= (X1-X2)/ square root: (SS1+SS2/n1+n2-2) times by (1/n1+1/n2)
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12
Q

What is the formula for df for independent groups?

A
  • N-2
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13
Q

Conclusion for independent groups? (t)

A
  • | tobt | >= | tcrit |, reject Ho
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14
Q

What is the formula for Tobt when n1=n2 ?

degrees of freedom ?

A
  • Tobt= (X1-X2)/ square root of: SS1+SS2/ n(n-1)

- Df= N-2 (N= population NOT SAMPLE)

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15
Q

What is the assumption of independent group t-tests?

A
  • test is robust
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16
Q

The sampling distribution is ___ distributed. If __=__ and >=.

A
  • normally
  • n1=n2
  • n>= 30
17
Q

Homogeneity of variance? huh?

A
  • O1^2 = O2^2

L> Mann- Whitney U

18
Q

What is the formula for effect size of independent groups?

A
  • D= | X1- X2| / square root of: S2w

ala –> S2w= SS1+ SS2/ n1+n2-2

19
Q

What increases power??

A
  • Great effect of IV
  • Larger sample size
  • Decreased variability
20
Q

Correlated t-tests is more powerful when correlation between paired scores is __.

A
  • high
21
Q

What is the equation for confidence intervals?

  • 95%
  • 99%
A
  • u lower= (X1-X2)- Sx1-x2 t0.025
  • u upper= (X1-X2) + Sx1 - X2 t 0.025
  • u lower= (X1-X2)- Sx1-X2 t 0.005
  • u upper= (X1-X2) + SX1- X2 T 0.005
22
Q

SX1-X2=??

A

SQUARE ROOT OF: SS1+SS2/n1+n2-2)(1/n+1/n2)

23
Q

When interpreting confidence intervals the probability value applies to the __ not the ___.

A
  • interval

- population mean