In: Math
suppose a woman wants to estimate her exact day of ovulation for contraceptive purposes. A theory exists that at the time of ovulation the body temperature rises 0.5 to 1.0 degrees F thus, changes in body temperature can be used to goes the day of ovulation.
suppose that for this purpose a woman measures her body temperature on awakening on the first 10 days after menstruation and obtains the following data: 95.8, 96.5, 97.4, 97.4, 97.3, 96.0, 97.1, 97.3, 96.2, 97.3.
A. what is the best point estimate of her underlying basal body temperature (population mean)
b. how precise is this estimate (calculate the standard error of the estimate)?
c. compute a 95% confidence interval for the underlying mean basal body temperature using the data. assume that her underlying mean basal body temperature has a normal distribution
(a)
From the given data, the following statistics are calculated:
n = 10
= 96.83
s = 0.6360
The best point estimate of her underlying basal body temperature (population mean) = = 96.83
(b)
How precise is this estimate (The standard error of the estimate) =s/
= 0.6360/
= 0.2011
(c)
= 0.05
ndf = n - 1 = 10 - 1 = 9
From Table, critical values of t = 2.2622
Confidence Interval:
96.83 (2.2622 X 0.2011)
= 96.83 0.4550
= (96.3750 ,97.2850)
Confidence Interval:
96.3750 < < 97.2850