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Homework answers / question archive / STAT 200 Week 6 Homework Problems 1) 9
STAT 200 Week 6 Homework Problems
1) 9.1.2
Many high school students take the AP tests in different subject areas. In 2007, of the 144,796 students who took the biology exam 84,199 of them were female. In that same year, of the 211,693 students who took the calculus AB exam 102,598 of them were female ("AP exam scores," 2013). Estimate the difference in the proportion of female students taking the biology exam and female students taking the calculus AB exam using a 90% confidence level.
2) 9.1.5
Are there more children diagnosed with Autism Spectrum Disorder (ASD) in states that have larger urban areas over states that are mostly rural? In the state of Pennsylvania, a fairly urban state, there are 245 eight year olds diagnosed with ASD out of 18,440 eight year olds evaluated. In the state of Utah, a fairly rural state, there are 45 eight year olds diagnosed with ASD out of 2,123 eight year olds evaluated ("Autism and developmental," 2008). Is there enough evidence to show that the proportion of children diagnosed with ASD in Pennsylvania is more than the proportion in Utah? Test at the 1% level.
3) 9.2.3
All Fresh Seafood is a wholesale fish company based on the east coast of the U.S. Catalina Offshore Products is a wholesale fish company based on the west coast of the U.S. Table #9.2.5 contains prices from both companies for specific fish types ("Seafood online," 2013) ("Buy sushi grade," 2013). Do the data provide enough evidence to show that a west coast fish wholesaler is more expensive than an east coast wholesaler? Test at the 5% level.
Table #9.2.5: Wholesale Prices of Fish in Dollars
Fish |
All Fresh Seafood Prices |
Catalina Offshore Products Prices |
d=x1-x2
|
Cod |
19.99 |
17.99 |
2 |
Tilapi |
6.00 |
13.99 |
7.99 |
Farmed Salmon |
19.99 |
22.99 |
-3 |
Organic Salmon |
24.99 |
24.99 |
0 |
Grouper Fillet |
29.99 |
19.99 |
10 |
Tuna |
28.99 |
31.99 |
3 |
Swordfish |
23.99 |
23.99 |
0 |
Sea Bass |
32.99 |
23.99 |
9 |
Striped Bass |
29.99 |
14.99 |
15 |
4) 9.3.1
The income of males in each state of the United States, including the District of Columbia and Puerto Rico, are given in table #9.3.3, and the income of females is given in table #9.3.4 ("Median income of," 2013). Is there enough evidence to show that the mean income of males is more than of females? Test at the 1% level.
Table #9.3.3: Data of Income for Males
$42,951 |
$52,379 |
$42,544 |
$37,488 |
$49,281 |
$50,987 |
$60,705 |
$50,411 |
$66,760 |
$40,951 |
$43,902 |
$45,494 |
$41,528 |
$50,746 |
$45,183 |
$43,624 |
$43,993 |
$41,612 |
$46,313 |
$43,944 |
$56,708 |
$60,264 |
$50,053 |
$50,580 |
$40,202 |
$43,146 |
$41,635 |
$42,182 |
$41,803 |
$53,033 |
$60,568 |
$41,037 |
$50,388 |
$41,950 |
$44,660 |
$46,176 |
$41,420 |
$45,976 |
$47,956 |
$22,529 |
$48,842 |
$41,464 |
$40,285 |
$41,309 |
$43,160 |
$47,573 |
$44,057 |
$52,805 |
$53,046 |
$42,125 |
$46,214 |
$51,630 |
|
|
|
|
Table #9.3.4: Data of Income for Females
$31,862 |
$40,550 |
$36,048 |
$30,752 |
$41,817 |
$40,236 |
$47,476 |
$40,500 |
$60,332 |
$33,823 |
$35,438 |
$37,242 |
$31,238 |
$39,150 |
$34,023 |
$33,745 |
$33,269 |
$32,684 |
$31,844 |
$34,599 |
$48,748 |
$46,185 |
$36,931 |
$40,416 |
$29,548 |
$33,865 |
$31,067 |
$33,424 |
$35,484 |
$41,021 |
$47,155 |
$32,316 |
$42,113 |
$33,459 |
$32,462 |
$35,746 |
$31,274 |
$36,027 |
$37,089 |
$22,117 |
$41,412 |
$31,330 |
$31,329 |
$33,184 |
$35,301 |
$32,843 |
$38,177 |
$40,969 |
$40,993 |
$29,688 |
$35,890 |
$34,381 |
|
|
|
|
5) 9.3.8
The number of cell phones per 100 residents in countries in Europe is given in table #9.3.9 for the year 2010. The number of cell phones per 100 residents in countries of the Americas is given in table #9.3.10 also for the year 2010 ("Population reference bureau," 2013). Find the 98% confidence interval for the different in mean number of cell phones per 100 residents in Europe and the Americas.
Table #9.3.9: Number of Cell Phones per 100 Residents in Europe
100 |
76 |
100 |
130 |
75 |
84 |
112 |
84 |
138 |
133 |
118 |
134 |
126 |
188 |
129 |
93 |
64 |
128 |
124 |
122 |
109 |
121 |
127 |
152 |
96 |
63 |
99 |
95 |
151 |
147 |
123 |
95 |
67 |
67 |
118 |
125 |
110 |
115 |
140 |
115 |
141 |
77 |
98 |
102 |
102 |
112 |
118 |
118 |
54 |
23 |
121 |
126 |
47 |
|
Table #9.3.10: Number of Cell Phones per 100 Residents in the Americas
158 |
117 |
106 |
159 |
53 |
50 |
78 |
66 |
88 |
92 |
42 |
3 |
150 |
72 |
86 |
113 |
50 |
58 |
70 |
109 |
37 |
32 |
85 |
101 |
75 |
69 |
55 |
115 |
95 |
73 |
86 |
157 |
100 |
119 |
81 |
113 |
87 |
105 |
96 |
|
|
|
Answer 1:
n1=144,796. N2=211,693
p1=84199/144796 = 0.582. p2=102598/211693=0.485
q1=1-0.582 = 0.418 q1=1-0.485=0.515
zc = 1.645
E=1.645*sqrt[{(0.582*0.418)/144796}+{90.485*0.515)/211693}]
E= 0.0028
(0.582-0.485)-0.0028<p1-p2<(0.582-0.485)+0.0028
0.0942<p1-p2<0.998
90% chance that 0.998 contains true difference in proportions.
Answer 2:
n1=18,440. N2=2,123
x1=245. X2=45
p1=245/18440 = 0.013. p2=45/2123=0.021
q1=1-0.013 = 0.987 q1=1-0.021=0.979
p-= (245+45)/(18440+2123) = 0.014
q-=1-0.014 = 0.986 z={(0.013+0.021)-0}/sqrt[{(0.014*0.986)/18440}+{(0.014*0.986)/2123}]
z=12.760
Answer 3:
Mean= 2.446
Standard Dev = 7.399
Test Stat= 0.110
df=8
p-value= 0.542
Answer 4:
Male Earnings
N1: 52
df1 = N - 1 = 52 - 1 = 51 M1: $46,453.31
SS1: 2520976841.08
s21 = 2520976841.08/(52-1) = 49430918.45
Female Earnings
N2: 52
df2 = N - 1 = 52 - 1 = 51
M2: $35,376.38
SS2: 4047089204.31
s22 = 4047089204.31/(52-1) = 79354690.28
T-value Calculation
s2p = ((51/102) * 49430918.45) + ((51/102) * 79354690.28) = 64392804.37
s2M1 = 64392804.37/52 = 1238323.16
s2M2 = 64392804.37/52 = 1238323.16
t = 11076.92/sqrt2476646.32 = 7.04
Answer 5:
Mean1 = 105.15.
Standard Dev1 = 897.90
n1 = 53
df= 39+53-2 = 90
t=2.37
Mean2 = 87.20
Standard Dev2 = 1235.904 n2 = 39
CI= (108.15-87.205)+-2.37*sqrt(897.90/53+1235.904/39) = 20.9450+-16.5275 = (4.4175;37.4725)