APPLICATION:
an experimental study was conducted by a researcher to
determine if a new time slot has an effect on the performance
of pupils in mathematics. Fifteen randomly selected learners
participated in the study. Toward the end of the investigation, a
standardized assessment was conducted. The sample mean x̄= 75 and s=5. In standardization of the test, the mean was
65 and standard deviation was 8. Based on the evidence at
hand, is the new time slot effective? Use α = 0.05.
Difference of two independent normal variables
Let "X" have a normal distribution with mean "\\mu_X" and variance "\\sigma_X^2."
Let "Y" have a normal distribution with mean "\\mu_Y" and variance "\\sigma_Y^2."
If "X" and "Y"are independent, then "X-Y"will follow a normal distribution with mean "\\mu_X-\\mu_Y" and variance "\\sigma_X^2+\\sigma_Y^2."
"\\mu_{X-Y}=75-65=10""s_{X-Y}=\\sqrt{(5)^2+(8)^2}=\\sqrt{89}"The following null and alternative hypotheses need to be tested:
"H_0:\\mu=0"
"H_1:\\mu\\not=0"
This corresponds to a two-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha=0.05,"
"df=n-1=15-1=14" degrees of freedom, and the critical value for a two-tailed test is "t_c=2.144787."
The rejection region for this two-tailed test is "R=\\{t:|t|>2.144787\\}"
The t-statistic is computed as follows:
Since it is observed that "|t|=4.105354>2.144787=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for two-tailed "\\alpha=0.05," "df=14, t=4.105354" is "p=0.001071," and since "p=0.001071<0.05=\\alpha," it is then concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is different than 0, at the "\\alpha=0.05" significance level.
Therefore, there is enough evidence to claim that the new time slot can be effective, at the "\\alpha=0.05" significance level.
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