A digital blood pressure gauge is under fire for its inaccuracy, so the medical association has selected a group of 15 patients. They were asked to have their (systolic) blood pressure taken first by an accredited physician (with accurate readings of systolic pressure), and then to go home and use the digital blood pressure gauge themselves. The data for the 15 patients tested:
Patient | Physician | Gauge |
A |
112 |
126 |
B | 109 | 108 |
C | 139 | 116 |
D | 141 | 123 |
E | 120 | 138 |
F | 99 | 123 |
G | 128 | 119 |
H | 118 | 122 |
I | 116 | 116 |
J | 120 | 118 |
K | 111 | 114 |
L | 123 | 108 |
M | 114 | 130 |
N | 121 | 123 |
O | 132 | 127 |
Question: Do average systolic readings made by patient users of the gauge differ significantly from those taken by physicians? Use a 95% confidence interval (CI).
Physician | Gauge | Difference |
112 | 126 | -14 |
109 | 108 | 1 |
139 | 116 | 23 |
141 | 123 | 18 |
120 | 138 | -18 |
99 | 123 | -24 |
128 | 119 | 9 |
118 | 122 | -4 |
116 | 116 | 0 |
120 | 118 | 2 |
111 | 114 | -3 |
123 | 108 | 15 |
114 | 130 | -16 |
121 | 123 | -2 |
132 | 127 | 5 |
Sample mean of the difference using excel function AVERAGE(), x̅d = -0.5333
Sample standard deviation of the difference using excel function STDEV.S(), sd = 13.5376
Sample size, n = 15
95% Confidence interval :
At α = 0.05 and df = n-1 = 14, two tailed critical value, t-crit = T.INV.2T(0.05, 14) = 2.145
Lower Bound = x̅d - t-crit*sd/√n = -0.5333 - 2.145 * 13.5376/√15 = -8.0302
Upper Bound = x̅d + t-crit*sd/√n = -0.5333 + 2.145 * 13.5376/√15 = 6.9635
-8.0302 < µd < 6.9635
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