A food company has developed a high mineral sea salt (sodium). A nurse practitioner hypothesizes that getting more sodium from the new sea salt predicts an increase in blood pressure. Below are the sodium and BP measurements for a sample of participants that regularly use the new sea salt. What can the nurse practitioner conclude with an α of 0.10?
Sodium | BP |
8.3 8.2 8.3 8.2 8.4 8.4 8.3 8.2 8.3 |
167 196 190 187 149 141 160 190 175 |
a) What is the appropriate statistic?
---Select one--- (na, Correlation, Slope, Chi-Square)
Compute the option selected in
a):
b) Obtain/compute the appropriate values to make a
decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)
Critical value = ; Test statistic =
Decision: ---Select one--- (Reject H0, Fail to reject
H0)
d) Make an interpretation based on the
results.
a. More sodium intake significantly predicts an increase in blood pressure.
b. More sodium intake significantly predicts a decrease in blood pressure.
c. Sodium intake does not significantly predict blood pressure.
(a) The appropriate statistic is Correlation
To calculate pearsons co efficient r
From the data given, we get the following table and values
Count | x | y | xy | x2 | y2 |
1 | 8.3 | 167 | 1386.1 | 68.89 | 27889 |
2 | 8.2 | 196 | 1607.2 | 67.24 | 38416 |
3 | 8.3 | 190 | 1577 | 68.89 | 36100 |
4 | 8.2 | 187 | 1533.4 | 67.24 | 34969 |
5 | 8.4 | 149 | 1251.6 | 70.56 | 22201 |
6 | 8.4 | 141 | 1184.4 | 70.56 | 19881 |
7 | 8.3 | 160 | 1328 | 68.89 | 25600 |
8 | 8.2 | 190 | 1558 | 67.24 | 36100 |
9 | 8.3 | 175 | 1452.5 | 68.89 | 30625 |
Total | 74.6 | 1555 | 12878.2 | 618.4 | 271781 |
SUM (x) = 74.6, SUM (y) = 1555, SUM (xy) = 12878.2,
SUM (x2) = 618.4, (SUM x)2 = (74.6)2= 5565.16
SUM (y2) = 271781, (SUM y)2 = (1555)2 = 2418025
SUM (x) x SUM (y) = 74.6 x 1555 = 116003
n = 9
r = -0.8937
_________________________________________
(b) The Hypothesis Test
The Hypothesis:
H0: = 0 : There is no linear relationship between the 2 variables.
Ha : 0 : There is a linear relationship between the 2 variables.
The Test Statistic:
The Critical Value (2 tail): at = 0.05, df = n -2 = 7 is -2.365 and +2.365
The Decision Rule: If T obtained is < -t critical or if t obtained is > t critical, then Reject H0.
The Decision: Since t obtained (-5.27) is < -t critical(-2.365), We Reject H0.
The Conclusion: There is sufficient evidence at the = 0.01 level to conclude that there is a linear relationship between the 2 variables (i.e r is significant).
_________________________________________________________
Interpretation. Since there is a significant relationship and the same is negative, therefore
Option b: More sodium intake significantly predicts a decrease in blood pressure.
__________________________________________________________
A food company has developed a high mineral sea salt (sodium). A nurse practitioner hypothesizes that...
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