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The study found that participants in the treatment group were more likely to choose less likely success options compared to the control group, with a statistically significant t-test result (t(34) = 2.8495, p < .05). The null hypothesis was rejected, indicating a meaningful difference between the groups that is unlikely to be due to chance. The large effect size suggests that the findings are significant and relevant to the broader population of students or residents in the area.

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5 views2 pages

210 Stats

The study found that participants in the treatment group were more likely to choose less likely success options compared to the control group, with a statistically significant t-test result (t(34) = 2.8495, p < .05). The null hypothesis was rejected, indicating a meaningful difference between the groups that is unlikely to be due to chance. The large effect size suggests that the findings are significant and relevant to the broader population of students or residents in the area.

Uploaded by

ilventodoro789
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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1

H1: Participants are more likely to choose the “less likely” to succeed options (3 and 4) after

reading the statement for the treatment group than they are for the control group.

The t-test for independent samples is the appropriate test for this hypothesis as it is testing two

different groups, without the same people in the groups and done in within the same timeframe,

and comparing their means to see if there are differences among them. The numerator refers to

the difference between the means of the two groups, control and treatment, while the

denominator is the standard of error to make the difference more accurant, considering the

sample size and variability. This test is to show whether or not the difference in selection among

the two groups in significant enough to accept the alternative hypothesis (rejecting the null

hypothesis).
2

t(34) = 2.8495, p < .05

This test is statistically significant, and the probability of a type 1 error is 0.0074. This means the

null hypothesis is rejected, as there is a significant difference between the two groups that is not

due to chance.

The difference found in the sample is likely to be found in the population. Since the t-test was

significant, this means that it was not by chance. The sample of volunteers can be representative

of the greater population of students attending the Community College of Philadelpha if all the

volunteers were students, or people living in Northeast Philadelphia if that was where the sample

came from.

The effect size is large.

The difference in the means in the experimental sample is likely to be meaningful. There is a

meaningful and significant difference between the control group and treatment group in the

sample for the class experiment. Cohen’s d tells us that the effect size is large, which is an

indicator that it is important.

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