Question

Student Gender (M or F)

$ Amount (Total) In Coins

Male

.00

Male

.00

Male

.00

Female

.00

Female

.00

Male

.00

Male

.00

Male

.00

Female

1.00

Female

.87

Male

.93

Male

.50

Female

1.45

Female

1.50

Female

2.10

Male

.75

Male

.89

Female

2.00

Male

1.00

Female

2.32

Female

2.50

Female

2.89

Male

1.25

Male

1.25

Female

1.50

Male

1.33

Female

2.90

Female

2.62

Male

1.00

Female

3.10

Female

3.15

Male

1.50

Male

1.50

Female

2.00

Male

1.60

Female

3.25

Female

3.90

Male

1.93

Male

2.00

Female

3.78

Results Section write up: Feedback level collected independently as positive and negative was used as the independent variable and self-intelligence ratings as the dependent variable. Results showed a significant difference between groups, t(38) = 3.45, p < .01. Participants rated their own intelligence higher in the positive feedback condition (M = 4.55, SD = 1.11) than participants in the negative feedback condition (M = 2.22, SD = .09). (fake results from fake date)

Using the write up of the results section from an APA empirical research article. Identify which test was conducted?

Independent sample t-test

Dependent sample t-test

z-test

Pearson correlation

Step 1

*The assumption for independent sample t test:*

- The samples should be taken randomly.
- The population should come from normal population.
- The samples from the population should be independent to each other.

Step 2

Here the samples are taken randomly.

In the given information, the population standard deviation for both the groups are unknown. Therefore, z test cannot be used. The two group values are independent to each other. Therefore, dependent t test cannot be used in this situation.

Hence, independent t test can be used.

Step 3

By Pearson correlation test, it can be known that whether there is an association between the two variables or not. In this situation, we don’t ...

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