Respuesta :
Answer:
Step-by-step explanation:
a)
Here researcher claims that the mean weight loss for those on low-carbohydrate or Mediterranean diets is greater than the mean weight loss for those on a conventional low-fat diet
Set the null and alternative hypotheses to test the above claim as below.
[tex]H_0:\mu_1\leq\mu_2\\\\=H_0:\mu_1-\mu_2\leq 0[/tex] versus [tex]H_A:\mu_1 > \mu_2\\\\H_A:\mu_1 -\mu_2>0[/tex]
b)
Assume that the variance of the two populations are equal.
Under the null hypothesis, the test statistics is defined as
[tex]t= \frac{\bar x_1 - \bar x_2}{s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}[/tex]
where [tex]s_p=\sqrt{\frac{(n_1-1)s_1^2+(n_2-1)s_2^2}{n_1+n_2-2}}[/tex]
Use the foll owing Excel instructions and conduct the above test.
Step1: Enter the datainto two columns of spreadsheet.
Step2: Select Data Analysis from Data ribbon.
Step3: Select t-test. Two-sample Assuming equal variances.
Step4: Input the data range for variable 1 and variable 2.
Step5: Enter 0 as the Hypothesized Mean Difference.
Step6: Click OK.
Thus, the resultant outout is as follows:
Low-carb Low-fat
Mean 9.773333333 6.283333333
Variance 3.197885057 3.160747126
Observations 30 30
Pooled Variance 3.179316092
Hypothesized Mean Difference 0
df 58
t Stat 7.580610844
P(T < = t) one-tail 1.54916E - 10
t Critical one — tail 1.671552762
P(T <2) two-tail 3.09831E - 10
t Critical two - tail 2.001717484
1) From the above output, the test statistics is obtained as t = 7.5806
2) From the above output, the critical value for one-tailed testis obtained as [tex]t_{crit}=1.672[/tex]
Rejection rule: Reject [tex]H_0[/tex] if [tex]t_{crit}>1.672[/tex]
c)
At 5% level of significance, the calculated value of test statistics is greater than the critical value.
Therefore, reject the null hypothesis.
Hence, the nutritionist conclude that overweight people on low-carbohydrate or Mediterranean diets lost more weight than people on a conventional low-fat diet.