Diana_Cuevas_An_Unexpected_Guest_Workbook
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Arizona State University *
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Course
BIO 182
Subject
Statistics
Date
Feb 20, 2024
Type
xlsx
Pages
16
Uploaded by DoctorCloverGorilla182
Identification # of nerve cell
Treatment
Production of octaphorin (pg/ml) Treatment
51
luxon absent
0.6
0
26
luxon absent
0.7
0
15
luxon absent
0.4
0
21
luxon absent
0.4
0
52
luxon absent
0.2
0
19
luxon absent
0.9
0
7
luxon absent
0.1
0
37
luxon absent
0.4
0
46
luxon absent
0.9
0
42
luxon absent
0.3
0
22
luxon absent
0.3
0
53
luxon absent
0.3
0
6
luxon absent
0.3
0
45
luxon absent
0.4
0
48
luxon absent
0.3
0
35
luxon absent
0.4
0
33
luxon absent
0.7
0
38
luxon absent
0.6
0
50
luxon absent
0.5
0
14
luxon absent
0.4
0
17
luxon absent
0.7
0
39
luxon absent
0.0
0
4
luxon absent
0.8
0
34
luxon absent
0.0
0
43
luxon absent
0.6
0
44
luxon absent
0.1
0
18
luxon absent
0.5
0
36
luxon absent
0.8
0
1
luxon absent
0.2
0
11
luxon absent
0.7
0
9
luxon present
10.5
1
8
luxon present
10.0
1
5
luxon present
10.9
1
30
luxon present
12.0
1
27
luxon present
8.9
1
32
luxon present
5.2
1
24
luxon present
7.3
1
55
luxon present
4.7
1
3
luxon present
8.1
1
60
luxon present
9.8
1
49
luxon present
7.2
1
59
luxon present
11.4
1
47
luxon present
10.7
1
16
luxon present
7.1
1
Production of octaphorin (pg ml-1)
28
luxon present
7.6
1
2
luxon present
7.9
1
56
luxon present
9.9
1
41
luxon present
10.2
1
13
luxon present
11.0
1
29
luxon present
7.2
1
20
luxon present
13.9
1
54
luxon present
8.5
1
31
luxon present
11.0
1
25
luxon present
8.8
1
58
luxon present
10.0
1
12
luxon present
7.4
1
10
luxon present
7.6
1
57
luxon present
7.1
1
40
luxon present
8.9
1
23
luxon present
9.4
1
Luxon AbseLuxon Present
mean
0.5
9
sd
0.25
2.03
The data in this sheet will be used for assignment questions 5-11.
Use the Excel sheet (tab) labeled "
Question 5
" for all calculations, modeling, and graphing.
Luxon Absent
Luxon Present
0
1
2
3
4
5
6
7
8
9
10
11
12
Treatment
Production of octaphorin (pg ml-1)
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Identification # of nerve cell
Treatment
Production of octaphorin (pg/ml) Treatment
51
luxon absent
0.6
0
26
luxon absent
0.7
0
15
luxon absent
0.4
0
21
luxon absent
0.4
0
52
luxon absent
0.2
0
19
luxon absent
0.9
0
7
luxon absent
0.1
0
37
luxon absent
0.4
0
46
luxon absent
0.9
0
42
luxon absent
0.3
0
22
luxon absent
0.3
0
53
luxon absent
0.3
0
6
luxon absent
0.3
0
45
luxon absent
0.4
0
48
luxon absent
0.3
0
35
luxon absent
0.4
0
33
luxon absent
0.7
0
38
luxon absent
0.6
0
50
luxon absent
0.5
0
14
luxon absent
0.4
0
17
luxon absent
0.7
0
39
luxon absent
0.0
0
4
luxon absent
0.8
0
34
luxon absent
0.0
0
43
luxon absent
0.6
0
44
luxon absent
0.1
0
18
luxon absent
0.5
0
36
luxon absent
0.8
0
1
luxon absent
0.2
0
11
luxon absent
0.7
0
9
luxon present
10.5
1
8
luxon present
10.0
1
5
luxon present
10.9
1
30
luxon present
12.0
1
27
luxon present
8.9
1
32
luxon present
5.2
1
24
luxon present
7.3
1
55
luxon present
4.7
1
3
luxon present
8.1
1
60
luxon present
9.8
1
49
luxon present
7.2
1
59
luxon present
11.4
1
47
luxon present
10.7
1
16
luxon present
7.1
1
28
luxon present
7.6
1
2
luxon present
7.9
1
56
luxon present
9.9
1
41
luxon present
10.2
1
13
luxon present
11.0
1
29
luxon present
7.2
1
20
luxon present
13.9
1
54
luxon present
8.5
1
31
luxon present
11.0
1
25
luxon present
8.8
1
58
luxon present
10.0
1
12
luxon present
7.4
1
10
luxon present
7.6
1
57
luxon present
7.1
1
40
luxon present
8.9
1
23
luxon present
9.4
1
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Luxon AbseLuxon Present
mean
0.5
9
sd
0.25
2.03
Luxon AbseLuxon Present
mean
0.5
9
sd
0.25
2.03
slope
8.56
intercept
0.45
steyx
1.45
For question 5, refer to the sheet (tab) in this Excel w
“
DATA- Octaphorin production
,” containing data on octaphorin by nerve cells (pg ml-1) in the absence or
luxon (sample size = 30 values per treatment). Use this Excel sheet for calculations, modeling, and g
calculated values to the nearest tenth of a decimal p
if you calculate the value as 3.8218, round to 3.8.
Refer to the lab packet document for specific Excel fo
instructions.
5
6
7
8
9
10
11
12
ctaphorin (pg ml-1)
Luxon Absent
Luxon Present
0
1
2
3
4
5
Treatment
Production of oc
workbook labeled the production of r presence of a graphing. Round all place. For example, ormatting
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5.9
-0.54
7.5
-0.53
8.3
-0.18
9.5
-0.14
9.8
0.16
11.4
0.21
11.7
0.41
12.7
0.47
14.2
0.53
14.4
0.52
15.6
0.23
16.4
0.30
17.8
-0.23
18.7
-0.28
mean air temperature (C)
per capita rate of change (
r
)
The data in this sheet Use the Excel sheet (ta
modeling, and graphin
will be used for assignment questions 16-19.
ab) labeled "
Question 16
" for all calculations, ng.
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5.9
-0.54
slope
0.0
7.5
-0.53
intercept
-0.4
8.3
-0.18
mean air
12.4
0.1 r
9.5
-0.14
steyx
0.4
9.8
0.16
11.4
0.21
a
-0.022
11.7
0.41
b
0.5833
12.7
0.47
c
-3.4689
14.2
0.53
14.4
0.52
x1
9.0
15.6
0.23
x2
17.5
16.4
0.30
LOC B
0.33
-0.10
17.8
-0.23
LOC C
-0.21
0.29
18.7
-0.28
LOC A
1.881
mean air temperature (C)
per capita rate of change (
r
)
For que
“
DATA-
capita Use thi
calcula
examp
Refer t
instruc
4
6
8
10
12
-1.00
-0.80
-0.60
-0.40
-0.20
0.00
0.20
0.40
0.60
0.80
1.00
f(x) = − 0.021991786853519 x² + 0.5833
Mean air temper
Per capita rate of change (griffs griff-1 y-1)
Mean air temper
estion 16, refer to the sheet (tab) in this Excel workbook labeled - Ecological niche
,” containing mean air temperatures and per rates of change for a population of griffs (sample size = 14 years).
is Excel sheet for calculations, modeling, and graphing. Round all ated values to the nearest thousandth of a decimal place. For ple, if you calculate the value as 3.8218, round to 3.822.
to the lab packet document for specific Excel formatting ctions.
14
16
18
20
308065935763 x − 3.46888929086666
rature (°C)
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rature (°C)
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0.99
0.975
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1
-
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0.001
0.004
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2.706
3.841
5.024
6.635
7.879
2
0.010
0.020
0.051
0.103
0.211
4.605
5.991
7.378
9.210
10.597
3
0.072
0.115
0.216
0.352
0.584
6.251
7.815
9.348
11.345
12.838
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0.207
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1.239
1.690
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12.017
14.067
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8
1.344
1.646
2.180
2.733
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13.362
15.507
17.535
20.090
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1.735
2.088
2.700
3.325
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14.684
16.919
19.023
21.666
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Degrees of Freedom
0.995
0.99
0.975
0.95
0.90
0.10
0.05
0.025
0.01
0.005
1
-
-
0.001
0.004
0.016
2.706
3.841
5.024
6.635
7.879
2
0.010
0.020
0.051
0.103
0.211
4.605
5.991
7.378
9.210
10.597
3
0.072
0.115
0.216
0.352
0.584
6.251
7.815
9.348
11.345
12.838
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0.297
0.484
0.711
1.064
7.779
9.488
11.143
13.277
14.860
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0.412
0.554
0.831
1.145
1.610
9.236
11.071
12.833
15.086
16.750
6
0.676
0.872
1.237
1.635
2.204
10.645
12.592
14.449
16.812
18.548
7
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1.239
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14.067
16.013
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Click the icon to view the technology display.
Choose the correct answer below.
O A. Reject the null hypothesis because the P-value is less than the level of significance.
OB. Reject the null hypothesis because the P-value is greater than the level of significance
OC. Fail to reject the null hypothesis because the P-value is greater than the level of significance
OD. Fail to reject the null hypothesis because the P-value is less than the level of significance
CHI
Technology Output
μ1> μ2
z 2.609496821
p=0.0045337744
x1 = 47
x2 = 44
In1=45
2-SampZTest
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Find the area under the normal curve in each of the following cases:
1. Between z = 0 and z= 1.63
2. Between z = 0 and z=-1.78
3. Between 2 =
1.56 and z = 2.51
4. Between z =
-1.36 and z=2.55
5. Between z =
-2.46 and z= 1.55
6. Between z==
-2.76 and z=-1.25
2.35
z =
7. Between z= 0.86 and z =
8. Between 2 =-0.76 and z = 1.35
9. Between z=
1.26 and z = 1.78
10. Between z = -1.78 and z= -0.26
11. To the right of z = 2.35
12. To the right of z = -1.31
13. To the left of z = 0.35
14. To the left of z= 1.85
15. To the right of z== -0.95
16. To the right of z = -0.75
17. To the right of z = -1.54
18. To the right of z = 0.89
19. To the right of z = -2.85
20. To the right of z = 0.3
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Histogram #1 (N=4)
450
400
350
300
250
200
150
100
50
[0, 0.2]
(0.2, 0.4]
(0.4, 0.6)
(0.6, 0.8]
Type of Gas Particles
(0.8, )
350
Histogram #4 (N=8)
300
250
200
150
100
50
(0, 0.111111111)
,.
(0.111111111,
(0.222222222,.
(0.333333333,.
(0.444444444
(0.555555556,
(0.666666667,.
(0.777777778,
Type of Gas Particles
(0.888888889, 1]
180
Histogram #3 (N=702)
160
140
120
100
80
60
40
20
Type of Gas Particles
W of Gas Particles
Nof Gas Particles
l of Gas Particles
[0.438746439,.
0.524216524,
(0.545584046,
(0.552706553,
(0.55982906,..
(0.566951567,
(0.574074074
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0.02 81.86
0.04 67.03
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0.10 36.77
21 (microooulombs)
100
90
70
60
50
B.
0.02
0,04
0.06
0.08
0.1
I (seconds)
mPR
(0.00, 100.00)| -824.25
(0.02,81.86)
-741.50
(0.06, 54.89)
-607.00
(0.08, 44.91)
-553.00
(0.10, 36.77)
504,33
R.
8822 8
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(a) The area above 7 on a N (5, 1.4) distribution
Round your answer to three decimal places.
Area=
the absolute tolerance is +/-0.001
(b) The area below 15 on a N (20, 3.1) distribution
Round your answer to three decimal places.
Area=
the absolute tolerance is +/-0.001
(c) The area between 86 and 100 on a N (100, 6.1) distribution
Round your answer to three decimal places.
Area=
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Gallons/person/year
Because whole milk is high in saturated fat, replacing whinte
milk with lower-fat milk decreases saturated fat intake, potentinity
reducing the risk of heart disease. However, milk is the most import
ant source of calcium in the North American diet, and calclum i
needed for bone health, so a reduction in total milk consampon
could contribute to an increase in the incidence of fractures dus o
low bone density, a condition called osteoporosis.¹¹
25
10
20
15
5
A nutrition scientist looking at this graph, however, would see
not just changes in the amount of milk Americans drank but the
nutritional and public health implications of these changes
well.
35
30
0
1970
1
74
78
L
82
86
90
HET
94 98
Year
- Total milk
-Lower-fat milks
- Whole milk
02
the person's nutritional status can be assessed (Figure 2.2).
record of an individual's food intake is
Obtain
06
10
1
14
18
Interpret the Data
If 1 gallon of milk has 4.8 grams
of calcium, how much less cal-
cium per person was…
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Attached
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95% CI for α99% CI for β
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CO
Determine the area of under the
Normal Curve for z = -2.3
2.3
area= [a]
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To test Ho: µ = 100 versus H,: µ# 100, a simple random sample size ofn=22 is obtained from a population that is known to be normally distributed. Answer parts (a)-(d).
Click here to view the t-Distribution Area in Right Tail.
.....
(a) If x = 105.8 and s = 8.9, compute the test statistic.
t =
(Round to three decimal places as needed.)
(b) If the researcher decides to test this hypothesis at the a = 0.01 level of significance, determine the critical values.
The critical values are
(Use a comma to separate answers as needed. Round to three decimal places as needed.)
(c) Draw a t-distribution that depicts the critical region(s). Which of the following graphs shows the critical region(s) in the t-distribution?
A.
O B.
OC.
(d) Will the researcher reject the null hypothesis?
A. There is not sufficient evidence for the researcher to reject the null hypothesis since the test statistic is between the critical values.
B. The researcher will reject the null hypothesis since the test statistic is…
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The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that
have formed at three teller windows. Answer the following questions.
Bank A
6.4
6.6
6.7
6.8
7.1
6.7
7.3
7.6
7.8
7.9
7.9
7.9
Bank B
4.1
5.4
5.9
6.2
7.8
8.6
9.3
10.0
1= Click the icon to view the table of Chi-Square critical values.
Construct a 99% confidence interval for the population standard deviation a at Bank A.
Omin < aBank A < min
(Round to two decimal places as needed.)
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stat2
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Calculate the Banzhaf power index for each voter. Suppose the voters in the order listed are A, B, C, and D.
{34: 22, 12, 9, 3}
O a.
BPI(A) = 0.5
BPI(B) = 0.3
BPI(C) = 0.2
BPI(D) = 0.1
O b.
BPI(A) = 0.5
ВР/(В) —D 0.3
BPI(C) = 0.1
ВР[D) %3D 0.1
c.
BPI(A) = 0.5
BPI(B) = 0.5
BPI(C) = 0
BPI(D) = 0
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Empirical Rule.
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I need to solve this please
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Childhood participation in sports, cultural groups,
and youth groups appears to be related to improved
self-esteem for adolescents (McGee, Williams,
Howden-Chapman, Martin, & Kawachi, 2006). In a
representative study, a sample of n = 100 adolescents
with a history of group participation is given a stan-
dardized self-esteem questionnaire. For the general
population of adolescents, scores on this questionnaire
form a normal distribution with a mean of p
%3D
50 and
%3D
15. The sample of group-
a standard deviation of o
%3D
participation adolescents had an average of M = 53.8.
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A regression model relating x, number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following regression output. Where n total = 38.
(NEED ANSWER FOR D)
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iid
Let Y;
Uniform(a0, b0), where 0 > 0 and 0 < a < b, i = 1, ... , n.
(a)
Consider Yn as an estimator of 0. Find a function of Yn that is unbiased for 0.
(b)
Find a sufficient statistic for 0.
(c)
the improved estimator)
How would you improve the estimator from part (a)? (You do not need to calculate
(d)
Does the CR bound apply here?
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℗ Do Homework - Section 3.11 - Profile 1 - Microsoft Edge
https://mylab.pearson.com/Student/PlayerHomework.aspx?homeworkId=644835720&questionId=12&flushed=false&cid=7318436¢erwin=yes
2t
The concentration C in milligrams per milliliter (mg/ml) of a certain drug in a person's blood-stream t hours after a pill is swallowed is modeled by C(t) = 7+
changes from 40 to 50 minutes.
1+1³
The change in concentration is about mg/ml.
(Type an integer or decimal rounded to the nearest thousandth as needed.)
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Estimate the change in concentration when t
Clear all
x
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Check answer
9:07 PM
4/22/2023
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