In: Statistics and Probability
You want to test your hypothesis below:
There is a difference in mean test scores between two classes: Class 1 vs. Class 2
Provide your answers in the template below the data set.
class 1 |
class 2 |
15 |
15 |
23 |
12 |
22 |
17 |
18 |
17 |
19 |
19 |
18 |
17 |
15 |
17 |
19 |
18 |
16 |
13 |
21 |
20 |
15 |
19 |
14 |
21 |
20 |
21 |
23 |
14 |
19 |
19 |
17 |
17 |
17 |
17 |
21 |
18 |
7 |
13 |
16 |
20 |
14 |
19 |
17 |
21 |
State the Ha= |
||
State the H0= |
||
Class 1 |
Class 2 |
|
Mean |
||
SD |
||
t-test, p value |
||
Conclusion (reject or accept the null) |
||
Interpret the conclusion |
X1 | x2 | (x1-x1bar)^2 | (x2-x2bar)^2 |
15 23 22 18 19 18 15 19 16 21 15 14 20 23 19 17 17 21 7 16 14 7 |
15 12 17 17 19 17 17 18 13 20 19 21 21 14 19 17 17 18 13 20 19 21 |
4.37 SS: 383.82 |
6.02 SS: 149.45 |
For class1
N1: 22
df1 = N - 1 = 22 - 1 = 21
M1: 17.09
SS1: 383.82
s21 = SS1/(N - 1) = 383.82/(22-1) =
18.28
Class 2
N2: 22
df2 = N - 1 = 22 - 1 = 21
M2: 17.45
SS2: 149.45
s22 = SS2/(N - 1) = 149.45/(22-1) =
7.12
Null and alternate hypothesis
H0:
H1:
2) test statistics
s2p = ((df1/(df1 +
df2)) * s21) + ((df2/(df2 +
df2)) * s22) = ((21/42) * 18.28) + ((21/42) *
7.12) = 12.7
s2M1 = s2p/N1 =
12.7/22 = 0.58
s2M2 = s2p/N2 =
12.7/22 = 0.58
t = (M1 - M2)/√(s2M1 +
s2M2) = -0.36/√1.15 = -0.34
3) p value = 0.7367
4).accept the null hypothesis
Conclusion there insufficient evidence to conclude that there is a difference in mean test scores between two classes: Class 1 vs. Class 2.