In: Statistics and Probability
The mean weight of males aged over 30 years in a certain population is 76 KG. Recently there was some tendency among this population to practice exercises to reduce weight. A random sample of size 40 is selected and it is found that sample mean and standard deviation are 74 and 8 respectively. Do the data provide sufficient evidence to conclude that the mean weight for this population has reduced. Use 5% significance level.
please can someone help
Solution :
Null and alternative hypotheses :
The null and alternative hypotheses are as follows :
Test statistic :
To test the hypothesis the most appropriate test is one sample t-test. The test statistic is given as follows :
Where, x̅ is sample mean, s is sample standard deviation, n is sample size and μ is hypothesized value of population mean under H0.
Where, x̅ = 74 kg, μ = 76 kg, s = 8 kg and n = 40
The value of the test statistic is -1.5811.
P-value :
Since, our test is left-tailed test, therefore we shall obtain left-tailed p-value for the test statistic. The left-tailed p-value is given as follows :
P-value = P(T < t)
P-value = P(T < -1.5811)
P-value = 0.0610
The p-value is 0.0610.
Decision :
Significance level = 5% = 0.05 and p-value = 0.0610
(0.0610 > 0.05)
Since, p-value is greater than the significance level of 5%, therefore we shall be fail to reject the null hypothesis (H0) at 5% significance level.
Conclusion :
At 5% significance level, there is not sufficient evidence to conclude that the mean weight for the population has reduced.
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