Question #98267
The average number of damaged tins per week for a local supermarket is 35 tins. The company wishes to decrease this figure and introduces a training program for the warehouse staff to encourage a more careful approach to handling the goods. After the training program, the number of damaged tins per week is monitored, over a period of 51 weeks, with the following results:
30 44 19 32 25 30 16 41 28 45 26 38 30 33 24 15 48 28 20 18 31 15 32 40 42 29 35 45 12 29 33 23 40 28 20 32 28 26 38 34 22 30 27 36 31 27 37 32 34 22 32
Show that the mean of the above sample is 30 with a standard deviation of 8.35.
Hence, perform a hypothesis test at the 10% significance level and determine if the training program has had the desired effect
1
Expert's answer
2019-11-08T14:24:00-0500

Number: N=51N=51.

Sum: =1532\sum=1532


mean=xˉ=15325130mean=\bar{x}={1532 \over 51}\approx30

(xixˉ)2=3485.9215686275\sum(x_i-\bar{x})^2=3485.9215686275

Variance=s2=(xixˉ)2N1=3485.9215686275511Variance=s^2={\sum(x_i-\bar{x})^2 \over N-1}={3485.9215686275 \over 51-1}\approx

69.718431372549\approx69.718431372549

standard deviation=s=Variancestandard \ deviation=s=\sqrt{Variance}\approx

69.7184313725498.35\approx\sqrt{69.718431372549}\approx8.35

H0:μ=35H_0:\mu=35

H1:μ<35H_1:\mu<35

Left-tail test

The critical value (cutoff point) is z=1.2816|z|=1.2816 In left-tail hypothesis testing, any z score less than the critical value will be rejected. 


Z=30358.35/514.2763<1.2816Z={30-35 \over 8.35/\sqrt{51}}\approx-4.2763<-1.2816

Since 4.2763-4.2763 is less than 1.2816,-1.2816, we reject the null hypothesis. We accept the alternative hypothesis.

Yes, the training program has had the desired effect.



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