A webassign.net The correlation coefficient r is a sample statistic. What does it tell us about the value of the population correlation coefficient p (Greek letter rho)? You do not know how to build the formal structure of hypothesis tests of p yet. However, there is a quick way to determine if the sample evidence based on p is strong enough to conclude that there is some population correlation between the variables. In other words, we can use the value of r to determine if p # 0. We do this by comparing the value |r| to an entry in the correlation table. The value of a in the table gives us the probability of concluding that p + 0 when, in fact, p = 0 and there is no population correlation. We have two choices for a: a = 0.05 or a = 0.01. Critical Values for Correlation Coeffident n- 0.05 « = 0.01 a - 0.05 a- 0.01 a - 0.05 r- 0.01 3 1.00 1.00 13 0.53 0.68 23 0.41 0.53 4 0.95 099 14 0.53 0.66 24 0.40 0.52 0.88 096 15 0.51 0.64 25 0.40 0.51 6. 0.81 092 16 0.50 0.61 26 0.39 0.50 0.75 087 17 0.48 0.61 27 0.38 0.49 0.71 083 18 0.47 0.59 28 0.37 0.48 0.67 080 19 0.46 0.58 29 0.37 0.47 10 0.63 0.76 20 0.44 0.56 30 0.36 0.46 0.60 0.73 21 043 0.55 12 0.58 071 22 0.42 0.54 (a) Look at the data below regarding the variables x = age of a Shetland pony and y = weight of that pony. Is the value of |r| large enough to conclude that weight and age of Shetland ponies are correlated? Use a = 0.05. (Use 3 decimal places.) 3 6 12 18 16 188 60 95 140 178 critical r Conclusion O Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. O Reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. O Fail to reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. O Fail to reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. (b) Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of |r| large enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use a = 0.01. (Use 3 decimal places.) x 975 100 1004 992 65 935 986 922 148 y 40 145 71 critical r Conclusion O Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
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A webassign.net
The correlation coefficient r is a sample statistic. What does it tell us about
the value of the population correlation coefficient p (Greek letter rho)? You
do not know how to build the formal structure of hypothesis tests of p yet.
However, there is a quick way to determine if the sample evidence based on
p is strong enough to conclude that there is some population correlation
between the variables. In other words, we can use the value of r to
determine if p # 0. We do this by comparing the value |r| to an entry in the
correlation table. The value of a in the table gives us the probability of
concluding that p + 0 when, in fact, p = 0 and there is no population
correlation. We have two choices for a: a = 0.05 or a = 0.01.
Critical Values for Correlation Coeffident
n- 0.05 « = 0.01
a
- 0.05 a- 0.01
a
- 0.05 r- 0.01
3
1.00
1.00
13
0.53
0.68
23
0.41
0.53
4
0.95
099
14
0.53
0.66
24
0.40
0.52
0.88
096
15
0.51
0.64
25
0.40
0.51
6.
0.81
092
16
0.50
0.61
26
0.39
0.50
0.75
087
17
0.48
0.61
27
0.38
0.49
0.71
083
18
0.47
0.59
28
0.37
0.48
0.67
080
19
0.46
0.58
29
0.37
0.47
10
0.63
0.76
20
0.44
0.56
30
0.36
0.46
0.60
0.73
21
043
0.55
12
0.58
071
22
0.42
0.54
(a) Look at the data below regarding the variables x = age of a
Shetland pony and y = weight of that pony. Is the value of |r| large
enough to conclude that weight and age of Shetland ponies are
correlated? Use a = 0.05. (Use 3 decimal places.)
3
6
12
18
16
188
60
95
140
178
critical r
Conclusion
O Reject the null hypothesis, there is sufficient evidence to show that
age and weight of Shetland ponies are correlated.
O Reject the null hypothesis, there is insufficient evidence to show
that age and weight of Shetland ponies are correlated.
O Fail to reject the null hypothesis, there is insufficient evidence to
show that age and weight of Shetland ponies are correlated.
O Fail to reject the null hypothesis, there is sufficient evidence to show
that age and weight of Shetland ponies are correlated.
(b) Look at the data below regarding the variables x = lowest
barometric pressure as a cyclone approaches and y = maximum wind
speed of the cyclone. Is the value of |r| large enough to conclude that
lowest barometric pressure and wind speed of a cyclone are correlated?
Use a = 0.01. (Use 3 decimal places.)
x
975
100
1004
992
65
935
986
922
148
y
40
145
71
critical r
Conclusion
O Reject the null hypothesis, there is sufficient evidence to show that
lowest barometric pressure and maximum wind speed for cyclones
Transcribed Image Text:A webassign.net The correlation coefficient r is a sample statistic. What does it tell us about the value of the population correlation coefficient p (Greek letter rho)? You do not know how to build the formal structure of hypothesis tests of p yet. However, there is a quick way to determine if the sample evidence based on p is strong enough to conclude that there is some population correlation between the variables. In other words, we can use the value of r to determine if p # 0. We do this by comparing the value |r| to an entry in the correlation table. The value of a in the table gives us the probability of concluding that p + 0 when, in fact, p = 0 and there is no population correlation. We have two choices for a: a = 0.05 or a = 0.01. Critical Values for Correlation Coeffident n- 0.05 « = 0.01 a - 0.05 a- 0.01 a - 0.05 r- 0.01 3 1.00 1.00 13 0.53 0.68 23 0.41 0.53 4 0.95 099 14 0.53 0.66 24 0.40 0.52 0.88 096 15 0.51 0.64 25 0.40 0.51 6. 0.81 092 16 0.50 0.61 26 0.39 0.50 0.75 087 17 0.48 0.61 27 0.38 0.49 0.71 083 18 0.47 0.59 28 0.37 0.48 0.67 080 19 0.46 0.58 29 0.37 0.47 10 0.63 0.76 20 0.44 0.56 30 0.36 0.46 0.60 0.73 21 043 0.55 12 0.58 071 22 0.42 0.54 (a) Look at the data below regarding the variables x = age of a Shetland pony and y = weight of that pony. Is the value of |r| large enough to conclude that weight and age of Shetland ponies are correlated? Use a = 0.05. (Use 3 decimal places.) 3 6 12 18 16 188 60 95 140 178 critical r Conclusion O Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. O Reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. O Fail to reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. O Fail to reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. (b) Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of |r| large enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use a = 0.01. (Use 3 decimal places.) x 975 100 1004 992 65 935 986 922 148 y 40 145 71 critical r Conclusion O Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones
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