Question #207130

3. The owner of a cell phone store at Greenhill Shopping Center was not happy when he learned that the

average number of cell phones sold daily was only 8 mobile phones. He hired a new seller and told him to

tally the daily sales for 20 days. The following are the number of cell phones sold for the past 20 days.

9

11

12

6

12

8

17

14

10

12

11

18

15

14

17

Does the collected data present sufficient evidence to indicate that the average number of cell phones sold

daily has increased? Use 0.05 level of significance. Assume normality in the population.


1
Expert's answer
2021-07-16T13:41:09-0400
9,9,9,8,9,9,11,12,12,16,9, 9, 9, 8, 9, 9, 11, 12, 12, 16,10,12,8,11,17,18,15,14,17,1410, 12, 8, 11, 17, 18, 15, 14, 17,14n=20,ixi=240n=20, \sum_ix_i=240xˉ=120ixi=24020=12\bar{x}=\dfrac{1}{20}\sum_ix_i=\dfrac{240}{20}=12i(xixˉ)2=(912)2+(912)2+(912)2\sum_i(x_i-\bar{x})^2=(9-12)^2+(9-12)^2+(9-12)^2+(812)2+(912)2+(912)2+(1112)2+(8-12)^2+(9-12)^2+(9-12)^2+(11-12)^2+(1212)2+(1212)2+(1612)2+(1012)2+(12-12)^2+(12-12)^2+(16-12)^2+(10-12)^2+(1212)2+(812)2+(1112)2+(1712)2+(12-12)^2+(8-12)^2+(11-12)^2+(17-12)^2+(1812)2+(1512)2+(1412)2+(1712)2+(18-12)^2+(15-12)^2+(14-12)^2+(17-12)^2+(1412)2=202+(14-12)^2=202s2=i(xixˉ)2n1=202201=20219s^2=\dfrac{\sum_i(x_i-\bar{x})^2}{n-1}=\dfrac{202}{20-1}=\dfrac{202}{19}10.631579\approx10.631579s=s23.260610s=\sqrt{s^2}\approx3.260610

Hypothesized Population Mean μ=8\mu=8

Sample Standard Deviation s=3.260610s=3.260610

Sample Size n=20n=20

Sample Mean xˉ=12\bar{x}=12

Significance Level α=0.05\alpha=0.05


Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

H0:μ8H_0: \mu\leq8

H1:μ>8H_1: \mu>8


This corresponds to right-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=19df=n-1=19 degrees of freedom and the critical value for right-tailed test is tc=1.729133.t_c=1.729133.


The rejection region for this right-tailed test is R={t:t>1.729133}.R=\{t:t>1.729133\}.


The tt - statistic is computed as follows:



t=xˉμs/n=1283.260610/205.486257t=\dfrac{\bar{x}-\mu}{s/\sqrt{n}}=\dfrac{12-8}{3.260610/\sqrt{20}}\approx5.486257

Since it is observed that t=5.486257>1.729133=tc,t=5.486257>1.729133=t_c, it is then concluded that the null hypothesis is rejected.


Therefore, there is enough evidence to claim that the population mean μ\mu is greater than 8,8, at the α=0.05\alpha=0.05 significance level.


Using the P-value approach: The p-value for right-tailed, the significance level 

α=0.05,t=5.486257,df=19\alpha=0.05, t=5.486257, df=19 is p=0.000014,p=0.000014, and since p=0.000014<0.05=α,p=0.000014<0.05=\alpha, it is concluded that the null hypothesis is rejected.


Therefore, there is enough evidence to claim that the population mean μ\mu is greater than 8,8, at the α=0.05\alpha=0.05 significance level.



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