Question #204036

 The owner of a mobile phone store in Greenhills shopping center was not happy when he learned that the average number of cellphones sold daily was 8 items only. He hired a new seller and was told to tally the daily sales for 20 days. The new sale records are 9, 9, 9, 8, 9, 9, 11, 12, 12, 16, 10, 12, 8, 11, 17, 18, 15, 14, 17, and 14. by using the default significant level do the collected data enough to indicate that their sale got increased?


1
Expert's answer
2021-06-07T15:07:53-0400
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, 17,14

n=20,ixi=240n=20, \sum_ix_i=240

xˉ=120ixi=24020=12\bar{x}=\dfrac{1}{20}\sum_ix_i=\dfrac{240}{20}=12

i(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=202

s2=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\approx10.631579


s=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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