Here are estimates of the daily intakes of calcium (in mg) for a sample of women between the ages of 18 and 24 who participated in a national study of women's bone health.
data |
808 |
882 |
1062 |
970 |
909 |
802 |
374 |
416 |
784 |
997 |
651 |
716 |
438 |
1420 |
1425 |
948 |
1050 |
976 |
572 |
403 |
626 |
774 |
253 |
549 |
1325 |
446 |
465 |
1269 |
671 |
696 |
1156 |
684 |
1933 |
748 |
1203 |
2433 |
1255 |
1100 |
a) Find a 95% confidence interval for the mean.
b) Suppose that the recommended daily allowance (RDA) of calcium for women in this age range is 1200mg. State an appropriate null and alternative hypothesis, give the test statistic, the P-value, and state your conclusion.
a)
sample mean, xbar = 899.7105
sample standard deviation, s = 437.226
sample size, n = 38
degrees of freedom, df = n - 1 = 37
Given CI level is 95%, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, tc = t(α/2, df) = 2.026
ME = tc * s/sqrt(n)
ME = 2.026 * 437.226/sqrt(38)
ME = 143.7
CI = (xbar - tc * s/sqrt(n) , xbar + tc * s/sqrt(n))
CI = (899.7105 - 2.026 * 437.226/sqrt(38) , 899.7105 + 2.026 *
437.226/sqrt(38))
CI = (756.01 , 1043.41)
b)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: μ = 1200
Alternative Hypothesis, Ha: μ ≠ 1200
Rejection Region
This is two tailed test, for α = 0.05 and df = 37
Critical value of t are -2.026 and 2.026.
Hence reject H0 if t < -2.026 or t > 2.026
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (899.7105 - 1200)/(437.226/sqrt(38))
t = -4.234
P-value Approach
P-value = 0.0001
As P-value < 0.05, reject the null hypothesis.
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