Joshua L. answered 10/30/23
Experienced Math and Stats Tutor for All Ages
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.