In: Statistics and Probability
For the population of Marionasty agents, let X = {Gun Type} and Y = {Knife Type}.“You found that bullet,” marveled Dr. Witless, “hidden in the victim’s auditory canal?” “Alimentary, my dear Witless,” the mirthful Hopeless did grin, “alimentary!”
Knives
Dagger |
Stiletto |
Switchblade |
totals |
||
Guns: |
|||||
None |
38 |
47 |
15 |
100 |
|
Revolver |
17 |
17 |
16 |
50 |
|
automatic |
25 |
16 |
9 |
50 |
|
totals |
80 |
80 |
40 |
200 |
a. Do these data provide strong evidence that the proportion of agents who carry
switchblades is less than one quarter?
i. Test the hypothesis that less than one quarter of agents carry switchblades;
ii. Find a comparable confidence interval for the proportion of agents who carry
switchblades;
iii. Compare your interval and test results.
b. Use these data to test the hypothesis that there is an association between
the types of knives and guns that Marionasty agents carry.
a)
i)
Ho : p = 0.25
H1 : p < 0.25
(Left tail test)
Level of Significance, α =
0.05
Number of Items of Interest, x =
40
Sample Size, n = 200
Sample Proportion , p̂ = x/n =
0.2000
Standard Error , SE = √( p(1-p)/n ) =
0.031
Z Test Statistic = ( p̂-p)/SE = (
0.2000 - 0.25 ) /
0.0306 = -1.6330
p-Value =
0.051 [excel function
=NORMSDIST(z)]
Decision: p value>α ,do not reject null hypothesis
There is not enough evidence that the proportion of agents who
carry switchblades is less than one quarter
ii)
Level of Significance, α =
0.05
Number of Items of Interest, x =
40
Sample Size, n = 200
Sample Proportion , p̂ = x/n =
0.2000
z -value = Zα/2 = 1.960 [excel
formula =NORMSINV(α/2)]
Standard Error , SE = √[p̂(1-p̂)/n] =
0.028284
margin of error , E = Z*SE = 1.960
* 0.02828 = 0.0554
95% Confidence Interval is
Interval Lower Limit = p̂ - E = 0.20000
- 0.05544 = 0.14456
Interval Upper Limit = p̂ + E = 0.20000
+ 0.05544 = 0.25544
95% confidence interval is (
0.145 < p < 0.255
)
iii)
since, CI contains 0.25, so, null hypothesis is not rejected
both results agree with each other
b)
Chi-Square Test of independence | |||||||
Observed Frequencies | |||||||
0 | |||||||
0 | Dagger | Stiletto | Switchblade | Total | |||
None | 38 | 47 | 15 | 100 | |||
Revolver | 17 | 17 | 16 | 50 | |||
automatic | 25 | 16 | 9 | 50 | |||
Total | 80 | 80 | 40 | 200 | |||
Expected frequency of a cell = sum of row*sum of column / total sum | |||||||
Expected Frequencies | |||||||
Dagger | Stiletto | Switchblade | Total | ||||
None | 80*100/200=40 | 80*100/200=40 | 40*100/200=20 | 100 | |||
Revolver | 80*50/200=20 | 80*50/200=20 | 40*50/200=10 | 50 | |||
automatic | 80*50/200=20 | 80*50/200=20 | 40*50/200=10 | 50 | |||
Total | 80 | 80 | 40 | 200 | |||
(fo-fe)^2/fe | |||||||
None | 0.1000 | 1.2250 | 1.250 | ||||
Revolver | 0.4500 | 0.4500 | 3.600 | ||||
automatic | 1.2500 | 0.8000 | 0.1000 |
Chi-Square Test Statistic,χ² = Σ(fo-fe)^2/fe =
9.225
Level of Significance = 0.05
Number of Rows = 3
Number of Columns = 3
Degrees of Freedom=(#row - 1)(#column -1) = (3- 1 ) * ( 3- 1 )
= 4
p-Value = 0.0557151 [Excel function:
=CHISQ.DIST.RT(χ²,df) ]
Decision: p value > α , do not reject
Ho
there is no enough evidence to conclude that
there is an association between
the types of knives and guns that Marionasty agents carry