Assume that a simple random sample has been selected from a
normally distributed population and test the given claim.
In a study of the effects of prenatal cocaine use on infants, the
following sample data were obtained for weights at birth:
n = 195, = 2600 grams, s = 621
grams.
a) Use a 0.01 significance level to test the claim that babies born
to cocaine users have a mean weight that is less than the mean of
3103 grams for babies born to mothers who do not use
cocaine.
Claim: ---Select--- < > ≥ ≤ ≠ = 3103 |
Ho: ---Select--- < > ≥ ≤ ≠ = 3103 |
H1: ---Select--- < > ≥ ≤ ≠ = 3103 |
b) What is the rejection result?
Not enough information.Reject the null hypothesis. Do not reject the null hypothesis.
c) What is the conclusion? Does it appear that birth weights are
affected by cocaine use?
There is not significant evidence that the mean is less than 3103 grams. It appears that birth weights are affected by cocaine use.There is significant evidence that the mean is less than 3103 grams. It appears that birth weights are affected by cocaine use. There is not significant evidence that the mean is less than 3103 grams. It does not appear that birth weights are affected by cocaine use.There is significant evidence that the mean is less than 3103 grams. It does not appear that birth weights are affected by cocaine use.
(a) Ho: = 3103
Ha: < 3103
(b) n = 195
sample man = 2600
sample sd = 621
Assuming that the data is normally distributed, also as the population sd is not given, we will calculate t ststaistics
The t-critical value for a left-tailed test, for a significance level of α=0.01
tc = −2.346
As the t stat falls in the rejection area, we reject the Null hypothesis.
(c)
There is significant evidence that the mean is less than 3103 grams. It appears that birth weights are affected by cocaine use.
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