One sample T-test

Question 1

When would you use a One-sampled t-test?

Answer 1

• Numerical data (interval or ration)
• only measuring one group
• have a comparison value

Question 2

What are the assumptions (requirements) for this test?

Answer 2

• Continuous DV (interval or ratio data)
• Data are independent ( every data point from a dif ppt)
• No extreme outliers
• Residuals are normally distributed

Question 3

What is a residual?

Answer 3

Residual is the difference between the actual data point and your estimate (mean)
e.g. mean hours of sleep is 6.81, one ppt sleeps 7 hours , 0.19 residual

Question 4

What is the equation for one-sample t-test?

Answer 4

Sample mean - populations mean, divided by (sample standard deviation/ square root of the sample size)

Question 5

how d u calculate the degrees of freedom?

Answer 5

df = n - 1

Question 6

How do you work out the effect size?

Answer 6

• Cohen’s d = (sample mean - population mean) divided by sample standard deviation

Question 7

How do you know to reject null hypothesis?

Answer 7

If answer to t-test is larger than the p-value

Question 8

what is the first step to every statistical test

Answer 8

state the hypothesis

Question 9

If assumptions are violated, what is the non-parametric equivalent of this test?

Answer 9

One-sample Wilcoxon signed-rank test