Hi Kaitlyn,
Null hypothesis (H0) means exactly that—null, as in nothing. In this case, no difference in mean. Alternative hypothesis (HA) is the opposite of that—essentially something. In this case:
- H0: Mean score on first statistics test does not differ significantly from 65.
HA: Mean score on first statistics test is significantly greater than 65.
- To get sample mean x-bar, add up all test scores and divide by sample size, 10.
X-bar=(88+74.4+64.3+68.4+61.9+74.4+96+61.9+85.5+88)/10
X-bar=76.28
3.
Standard error is computed as:
SE=s/sqrt(n)
s=sample standard deviation
n=sample size
Use a calculator, software, or online calculator to get sample standard deviation.
s=12.36
n=10
SE=12.36/sqrt(10)
SE=3.91
(4) Sorry about confusing numbering; Wyzant text editor is not flexible with this—it keeps resetting to 1. Anyhow, to compute t-test statistic:
t=(x-bar- mu0)/SE
Breaking this down:
x-bar=sample mean
mu0=hypothesized mean
SE=standard error
Thus:
x-bar=76.28
mu0=65
SE=3.91
t=(76.28-65)/3.91
t=2.88
(5) To approximate p-value, we need degrees of freedom, which is computed as:
df=n-1
df=10-1
df=9
We also need our confidence level, 95%. Keep in mind this is a one-sided test. Proceed to t-table. Look for row with 9 degrees of freedom and look in interior for t-statistic computed above. It falls between 2.821 and 3.25. Look at top row to see what corresponding p-values are. Look for one-sided test.
This gives:
0.005<p<0.01
This is all we can get for p-value without statistical software.
(6)
From above, p is clearly less than 0.05, which is the cutoff for significance at the 95% confidence level. This means we can reject H0 and conclude that true mean score on first statistics test significantly exceeds 65.
I hope this helps.