Imagine that we gave 100 individuals this short experiment and collected the differences between times in the incongruent & congruent condition. You want to know if men and women differed on this time...

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Imagine that we gave 100 individuals this short experiment and collected the differences between times in the incongruent & congruent condition. You want to know if men and women differed on this time between conditions. The data from these 50 men and 50 women can be found here: Data Analysis_4b.sav. Your results section should be crafted as a paragraph and incorporate the answers to the following questions/prompts:


1. State your null and alternative hypotheses


2. Is this a one or two-tailed hypotheses? Explain.


3. Calculate the appropriate statistical test.


4. Can you reject the null hypothesis? Why or why not?


5. Write a results section for your findings. Include the descriptive statistics, type of statistical test and results of the tests, with effect sizes and confidence intervals.


To calculate Cohen's d, please review this video:The Secret Trick to Calculate Cohen's d in SPSS

Answered Same DayMay 28, 2021

Answer To: Imagine that we gave 100 individuals this short experiment and collected the differences between...

Himanshu answered on May 28 2021
153 Votes
The experiment consists of 100 individuals (50 males and females) and their time difference in congruent and incongruent condition is obtained. The objective of the study is to investigate the behaviour gender-wise. In order to perform the hypothesis testing, we provide the null and alternative hypothesis as:
Null Hypothesis: men and women do not differ on this time between conditions.
Alternative Hypothesis: men and women differ on this time between conditions.
Since the problem statement does not define any strict condition, therefore we take complete negation under alternative hypothesis and consider the test to be a 2-tailed test. Moreover, we consider the level of significance to be 5%. Now, in order to determine the test statistic, we observe that a gender-wise comparison needs to be done based on a single independent variable i.e. time. Therefore, we make use of independent sample t-test. A prerequisite for applying t-test is that the data should follow Normal Distribution. This can be claimed obvious as the sample is large (n>30) and henceforth by central limit theorem the Normality can be assumed. Next we...
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