Assume that a simple random sample is selected from a normally
distributed population.
A study was conducted of babies born to mothers who use cocaine
during pregnancy, and the following sample data were obtained for
weights at birth: n = 192, = 2700 grams,
s = 651 grams.
a) Use a 0.05 significance level to test the claim that the
standard deviation of birth weights of infants born to mothers who
use cocaine is different from the standard deviation of 696 grams
for birth weights of infants born to mothers who do not use cocaine
during pregnancy.
Claim: ---Select--- < > = ≠ ≤ ≥ 696 |
Ho: ---Select--- < > = ≠ ≤ ≥ 696 |
H1: ---Select--- < > = ≠ ≤ ≥ 696 |
b) What is the rejection result?
Do not reject the null hypothesis.Reject the null hypothesis. Not enough information.
c) What is the conclusion? Does cocaine use by mothers appear to
affect the variation of the weights of their babies?
There is not significant evidence that differs from 696 g. Cocaine use appears to affect the variation of weights.There is significant evidence that differs from 696 g. Cocaine use does not appear to affect the variation of weights. There is not significant evidence that differs from 696 g. Cocaine use does not appear to affect the variation of weights.There is significant evidence that differs from 696 g. Cocaine use appears to affect the variation of weights.
a)
claim:
H1: σ ≠ 696
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: σ = 696
Alternative Hypothesis, H1: σ ≠ 696
Rejection Region
This is two tailed test, for α = 0.05 and df = 191
Critical value of Χ^2 are 154.621 and 231.165
Hence reject H0 if Χ^2 < 154.621 or Χ^2 > 231.165
Test statistic,
Χ^2 = (n-1)*s^2/σ^2
Χ^2 = (192 - 1)*651^2/696^2
Χ^2 = 167.1
P-value Approach
P-value = 0.2137
As P-value >= 0.05, fail to reject null hypothesis.
b)
Do not reject the null hypothesis
c)
There is not significant evidence that differs from 696 g. Cocaine use does not appear to affect the variation of weights
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