Table for 40 41 Independent Samples Test ttest for Equality

Table for #40 & 41.

Independent Samples Test

t-test for Equality of Means

t

df

Sig. (2-tailed)

number correct

Equal variances assumed

10.991

38

.000

Equal variances not assumed

10.991

30.727

.000

From the table below, did the independent variable have an effect?

a.Yes, there is a statistically significant effect.

b.Yes, but the effect was not statistically significant.

c.Not enough information.

d.No, it is not statistically insignificant.

What was the dependent variable in the table below?

a.Variances

b.Number correct

c.Equal assumptions

d.Not given in table

Which of the following would you consider to be an example of repeated-measures design?

a.6 participants are given analgesia and 6 a placebo; effects of pain relief after 4 hours is recorded.

b.12 participants are given analgesia, all are asked to record pain level after 2 hours and again after 4 hours.

c.12 participants are asked to record pain level after 4 hours then given analgesia

Independent Samples Test

t-test for Equality of Means

t

df

Sig. (2-tailed)

number correct

Equal variances assumed

10.991

38

.000

Equal variances not assumed

10.991

30.727

.000

Solution

1) Since p<alpha , yes there is statistically significant

2) Dependent variable is number correct

Table for #40 & 41. Independent Samples Test t-test for Equality of Means t df Sig. (2-tailed) number correct Equal variances assumed 10.991 38 .000 Equal v
Table for #40 & 41. Independent Samples Test t-test for Equality of Means t df Sig. (2-tailed) number correct Equal variances assumed 10.991 38 .000 Equal v

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