Question

3. Is a simple t-test for the difference between group means sufficient to determine a causal...

3. Is a simple t-test for the difference between group means sufficient to determine a causal effect? Why, or why not?

Homework Answers

Answer #1

A sample t- test for the difference between group means sufficient is :

Here' the truth: The answer is a big" NO."

  • You cannot have statistical test determine a causal effect.
  • Please read on to get an idea of what you can and can't acheive with a t-test.
  • Causal relationships are established by experimental design, not a particular statistical test.
  • You could use a correlation as your statistical test and demonstrate that the high quality true experiment you conducted strongly implies causation.
  • You could perform a t-test as your statistic and show a relationship in your quasi or observational study.
  • But, that statistic does not, in and of itself, justify a causal explanation.
  • Causal effect just gives data with respect to whether the two means are equivalent or essentially unique
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
What is the difference between a t test of independent means and a t test of...
What is the difference between a t test of independent means and a t test of dependent means? Provide examples of when you would use each type of t test.
1. if a statistically significant difference was found between two means using an independent-samples t test,...
1. if a statistically significant difference was found between two means using an independent-samples t test, which of the following interpretations would be correct. A) something over and above sampling error is responsible for the difference between sample means B) the difference between two means is meaningful. C)it is unlikely that something other than error is responsible for the difference between the sample means. D) the difference between the two means is due to a large effect size 2. in...
why cannot simple regression be used to test the significance of the difference among 3 or...
why cannot simple regression be used to test the significance of the difference among 3 or means ?
If an ANOVA test indicates there is a difference among the group means, in order to...
If an ANOVA test indicates there is a difference among the group means, in order to identify which specific means are statistically different from the others, you would use: Select one: a. T test b. Tukey-Kramer procedure c. F test d. Levene test
The MINITAB printout shows a test for the difference in two population means. Two-Sample T-Test and...
The MINITAB printout shows a test for the difference in two population means. Two-Sample T-Test and CI: Sample 1, Sample 2 Two-sample T for Sample 1 vs Sample 2      N Mean StDev SE Mean Sample 1 5 29.00 3.00 1.3 Sample 2 7 28.89 3.63 1.4 Difference = mu (Sample 1) - mu (Sample 2) Estimate for difference: 0.11 95% CI for difference: (-4.3, 4.5) T-Test of difference = 0 (vs not =): T-Value = 0.06 P-Value = 0.96...
what are the difference scores with respect to the correlated-group T Test and how are different...
what are the difference scores with respect to the correlated-group T Test and how are different scores C's calculated? And when calculating the correlated-groups T-Test, why does the numerator for the equation involve subtracting zero from the mean of the difference score? Correction : What are difference scores with respect to the correlated-group T- Test and how are difference scores calculated?
Would you use a paired t-test or an unpaired t-test to analyze the difference between observed...
Would you use a paired t-test or an unpaired t-test to analyze the difference between observed means of sprinting speeds between football players and swimmers? Explain your answer.
Using a = 0.05, test for a difference in the means. group         n        mean       sample std...
Using a = 0.05, test for a difference in the means. group         n        mean       sample std dev 1                20       8.3                 3.0 2               20       7.2                  3.0 ttest u1 = u2 ( VS NE) t= 1.16
Independent simple random samples are taken to test the difference between the means of two populations...
Independent simple random samples are taken to test the difference between the means of two populations whose variances are not known. Given the sample sizes are n1 = 11 and n2 = 16; and the sample variances are S12 = 33 and S22 = 64, what is the correct distribution to use for performing the test? A. t distribution with 49 degrees of freedom B. t distribution with 59 degrees of freedom C. t distribution with 24 degrees of freedom...
In your own words, tell me the difference between using the z test and the t...
In your own words, tell me the difference between using the z test and the t test for testing the difference between 2 means.