When to use two-sample t-test assuming equal variances? unequal variances? what is the difference between the two options? Thank you in advance. Your video helped me a lot. and your response will be highly appreciated.
arnel hernandez: The “assuming equal variances” version of the t-test assumes that the variances of the two groups are equal. It’s usually not a particularly tenable assumption, so it’s usually better to assume the variances are unequal, even though there are ways to test the assumption empirically. The “variance” is a measure of how much the scores in a distribution vary from the distribution’s average.
Only if there was an option to like this
video 💯 times . You are a guru🙏🏼🙏🏼🙏🏼
When to use two-sample t-test assuming equal variances? unequal variances? what is the difference between the two options? Thank you in advance. Your video helped me a lot. and your response will be highly appreciated.
arnel hernandez: The “assuming equal variances” version of the t-test assumes that the variances of the two groups are equal. It’s usually not a particularly tenable assumption, so it’s usually better to assume the variances are unequal, even though there are ways to test the assumption empirically. The “variance” is a measure of how much the scores in a distribution vary from the distribution’s average.
Yes it was helpful in showing how to do the equation, however, it was poorly explained.
Your video was BY FAR the most helpful! Thank-you I need things broken down step-by-step thank-you so much!