Question #204194

. A nutritionist is promoting a diet plan for shedding up to 5kg weights within a month without any involvement in comprehensive daily exercises. Some overweight persons had lost 4.1, 2.7, 6.6, 9, 3.8, 6.0, 4.2, 2.0, 3.0, 3.2, 6.3, 2.4, 4.4, 6.2 and 4.5 kgs in a month after following the diet plan. At 5% level of significance, determine whether the efficacy of the diet plan is currently being overrated


1
Expert's answer
2021-06-08T06:55:49-0400
xˉ=115(4.1+2.7+6.6+9.0+3.8+6.0+4.2\bar{x}=\dfrac{1}{15}(4.1+2.7+6.6+9.0+3.8+6.0+4.2

+2.0+3.0+3.2+6.3+2.4+4.4+6.2+4.5)+2.0+3.0+3.2+6.3+2.4+4.4+6.2+4.5)

=68.415=4.56=\dfrac{68.4}{15}=4.56


s2=1N1i(xixˉ)2s^2=\dfrac{1}{N-1}\sum_i(x_i-\bar{x})^2

s2=1151((4.14.56)2+(2.74.56)2+(6.64.56)2s^2=\dfrac{1}{15-1}\big((4.1-4.56)^2+(2.7-4.56)^2+(6.6-4.56)^2

+(9.04.56)2+(3.84.56)2+(6.04.56)2+(9.0-4.56)^2+(3.8-4.56)^2+(6.0-4.56)^2

+(4.24.56)2+(2.04.56)2+(3.04.56)2+(4.2-4.56)^2+(2.0-4.56)^2+(3.0-4.56)^2

+(3.24.56)2+(6.34.56)2+(2.44.56)2+(3.2-4.56)^2+(6.3-4.56)^2+(2.4-4.56)^2

+(4.44.56)2+(6.24.56)2+(4.54.56)2)+(4.4-4.56)^2+(6.2-4.56)^2+(4.5-4.56)^2)

=51.57614=3.684=\dfrac{51.576}{14}=3.684




s=s2=3.6841.919375s=\sqrt{s^2}=\sqrt{3.684}\approx1.919375

Hypothesized Population Mean μ=5\mu=5

Sample Standard Deviation s=1.919375s=1.919375

Sample Size n=15n=15

Sample Mean xˉ=4.56\bar{x}=4.56

Significance Level α=0.05\alpha=0.05


Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

H0:μ5H_0: \mu\geq5

H1:μ<5H_1: \mu<5

This corresponds to left-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 α=0.05,\alpha=0.05,

df=n1=14df=n-1=14 ​​degrees of fredom, and the critical value for left-tailed test itc=1.76131.t_c=-1.76131.

The rejection region for this left-tailed test is R={t:t<1.76131}.R=\{t:t<-1.76131\}.


The tt - statistic is computed as follows:



t=xˉμs/n=4.5651.919375/150.89063t=\dfrac{\bar{x}-\mu}{s/\sqrt{n}}=\dfrac{4.56-5}{1.919375/\sqrt{15}}\approx-0.89063

Since it is observed that t=0.89063>1.76131=tc,t=-0.89063>-1.76131=t_c, it is then concluded that the null hypothesis is not rejected.

Therefore, there is not enough evidence to claim that the population mean μ\mu is less than 5,5, at the α=0.05\alpha=0.05 significance level.


Using the P-value approach: The p-value for left-tailed, the significance level α=0.05,df=14,t=0.89063,\alpha=0.05, df=14, t=-0.89063, is p=0.1940,p=0.1940, and since p=0.1940>0.05=α,p=0.1940>0.05=\alpha, it is concluded that the null hypothesis is not rejected.

Therefore, there is not enough evidence to claim that the population mean μ\mu is less than 5,5, at the α=0.05\alpha=0.05 significance level.


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Comments

Assignment Expert
15.07.21, 21:42

Dear lebo, please use the panel for submitting a new question.


lebo
05.07.21, 11:42

Experience has shown that a certain lie detector will show a positive reading (indicates a lie) 10% of the time when a person is telling the truth and 95% of the time when a person is lying. Suppose that a random sample of 5 suspects is subjected to a lie detector test regarding a recent one-person crime. Find the probability of observing no positive reading if all suspects plead innocent and are telling the truth.

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