In: Statistics and Probability
A golf association requires that golf balls have a diameter that is 1.68 inches. To determine if golf balls conform to the standard, a random sample of golf balls was selected. Their diameters are shown in the accompanying data table. Do the golf balls conform to the standards? Use the alpha=.01 level of significance.
1.683 | 1.676 | 1.681 |
1.685 | 1.678 | 1.686 |
1.684 | 1.685 | 1.673 |
1.685 | 1.682 | 1.674 |
A) Find the test statistic
B) Find the P value
C) What can be concluded? Reject or not? Sufficient evidence?
In 1990, the club wondered how much water gathers in their holes. In 1990, the concentration of water in the golf holes was .15 milligrams per liter. A random sample of 10 precipitation dates in 2009 results in the following data recorded from the holes.
.076 | .076 | .074 | .232 | .118 |
.178 | .119 | .246 | .306 | .112 |
D) Construct a 95% confidence interval about the water in the holes at the golf club.
E) Does the sample evidence suggest that water concentrations in the holes changed from 1990 to 2009?
A random sample size of n=200 golfers were asked if they enjoyed golf in the winter. Of the 200 asked, 104 responded that they did. Determine if more than half of all golfers enjoy golf in the winter at the α=0.05 level of significance.
F) Calculate null and alternative hypotheses
H0= ___ ___ .5
H1= ____ ____ .5
G) Calculate the P value
H) State the conclusion. Reject or not? Is there sufficient evidence at the alpha=.05 level of significance to conclude that more than half of the golfers like to golf in the winter?
1)
Ho : µ = 1.68
Ha : µ ╪ 1.68
(Two tail test)
Level of Significance , α =
0.01
sample std dev , s = √(Σ(X- x̅ )²/(n-1) )
= 0.0046
Sample Size , n = 12
Sample Mean, x̅ = ΣX/n =
1.6810
degree of freedom= DF=n-1= 11
Standard Error , SE = s/√n = 0.004612237 /
√ 12 = 0.0013
t-test statistic= (x̅ - µ )/SE = ( 1.681
- 1.68 ) / 0.001
= 0.751
b)
p-Value = 0.4684 [Excel
formula =t.dist(t-stat,df) ]
c)
Decision: p-value>α, Do not reject null
hypothesis
Conclusion: There is not sufficient
evidence......................
=============================================================
D)
sample std dev , s = √(Σ(X- x̅ )²/(n-1) )
= 0.0824
Sample Size , n = 10
Sample Mean, x̅ = ΣX/n = 0.1537
Level of Significance , α =
0.05
degree of freedom= DF=n-1= 9
't value=' tα/2= 2.2622 [Excel
formula =t.inv(α/2,df) ]
Standard Error , SE = s/√n = 0.082 /
√ 10 = 0.0261
margin of error , E=t*SE = 2.2622
* 0.026 = 0.059
confidence interval is
Interval Lower Limit = x̅ - E = 0.15
- 0.059 = 0.0948
Interval Upper Limit = x̅ + E = 0.15
- 0.059 = 0.2126
95% confidence interval is (
0.09 < µ < 0.21
)
E)
Ho : µ = 0.15
Ha : µ ╪ 0.15
since, confidence interval do contain null hypothesis value, so, do not reject Ho
sample evidence do not suggest that water concentrations in the holes changed from 1990 to 2009
==========================
F)
Ho : p = 0.5
H1 : p > 0.5
(Right tail test)
G)
Level of Significance, α =
0.05
Number of Items of Interest, x =
104
Sample Size, n = 200
Sample Proportion , p̂ = x/n =
0.5200
Standard Error , SE = √( p(1-p)/n ) =
0.0354
Z Test Statistic = ( p̂-p)/SE = ( 0.5200
- 0.5 ) / 0.0354
= 0.5657
p-Value =
0.2858 [Excel function
=NORMSDIST(-z)
H)
Decision: p value>α ,do not reject null
hypothesis
There is not enough evidence at the alpha=.05
level of significance to conclude that more than half of the
golfers like to golf in the winter