In: Statistics and Probability
A researcher would like to determine whether an over-the-counter herbal nasal spray has an effect on mental alertness for infants. A sample of n = 18 infants is obtained, and each baby is given a standard dose of the spray one hour before being tested for mental alertness. For the general population of infants, scores on a mental alertness screening test are normally distributed with μ = 60. The infants in the sample had an average score of M = 54 and an s = 8.
Can the researcher conclude that scores on the screening test are significantly different after administering the spray? Use a two-tailed test with α = .05. Be sure to state your null hypothesis, a decision about that null hypothesis, and a conclusion explaining your results with an APA format statement. Calculate Cohen’s d if necessary.
The provided sample mean is Xˉ=54
and the sample standard deviation is s = 8,
and the sample size is n = 18.
(1) Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
Ho: μ = 60
Ha: μ ≠ 60
This corresponds to a two-tailed test, for which a t-test for one mean, with unknown population standard deviation, will be used.
(2) Rejection Region
Based on the information provided, the significance level is α=0.05,
and the critical value for a two-tailed test is
t_c = 2.11
The rejection region for this two-tailed test is
R={t:∣t∣>2.11}
(3) Test Statistics
The t-statistic is computed as follows:
(4) Decision about the null hypothesis
Since it is observed that
∣t∣=3.182>tc=2.11,
it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value is p = 0.0055,
and since p = 0.0055<0.05,
it is concluded that the null hypothesis is rejected.
(5) Conclusion
It is concluded that the null hypothesis Ho is rejected.
Therefore, there is enough evidence to claim that the population mean μ is different than 60, at the 0.05 significance level.
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