In: Statistics and Probability
Show ALL work (or explain what was plugged into the calculator ) Use specific wording. Round to the thousandths place correctly when you are supposed to round.
A newspaper claims the mean weight of a US male is 180 pounds. But one think's it’s different. You collect the following SRS:
{190, 185, 188, 195, 170, 175, 190, 195, 190, 170, 124}
Is there sufficient evidence at the 5% significance level (α = .05) to indicate that the mean weight of US males is different than 180 pounds?
Ho:
Ha:
Test statistic:
p-val:
Statistical conclusion:
Conclusion in plain English:
Solution:
x | x2 |
190 | 36100 |
185 | 34225 |
188 | 35344 |
195 | 38025 |
170 | 28900 |
175 | 30625 |
190 | 36100 |
195 | 38025 |
190 | 36100 |
170 | 28900 |
124 | 15376 |
∑x=1972 | ∑x2=357720 |
Mean ˉx=∑xn
=190+185+188+195+170+175+190+195+190+170+124/11
=1972/11
=179.2727
Sample Standard deviation S=√∑x2-(∑x)2nn-1
=√357720-(1972)211/10
=√357720-353525.8182/10
=√4194.1818/10
=√419.4182
=20.4797
This is the two tailed test .
The null and alternative hypothesis is ,
H0 : = 180
Ha : 180
Test statistic = t
= ( - ) / S / n
= (179.27-180 ) /20.48/ 11
= −0.118
Test statistic = t = −0.118
P-value =0.9082
= 0.05
P-value >
0.9082 > 0.05
Fail to reject the null hypothesis .
There is insufficient evidence to claim that the population mean μ is different than 180 , at the 0.05 significance level.