A pharmaceutical company manufacturing the Paracetamol tablets with the Average weight of 500 mg and population variance of 36 mg. A quality officer in a company wants to investigate whether the weight of Paracetamol tablets is differed from 500 mg. To investigate He taken 50 tablets at the time of manuracturing and find that the average weight of 50 tablets is 504.5 mg. Make the hypothesis test that the average weight of tablets is differ from or not at 95% confidence level.

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A pharmaceutical company manufacturing the Paracetamol tablets with the Average weight of 500 mg and
population variance of 36 mg. A quality officer in a company wants to investigate whether the weight of
Paracetamol tablets is differed from 500 mg. To investigate He taken 50 tablets at the time of manuracturing
and find that the average weight of 5o tablets is 504.5 mg.
Make the hypothesis test that the average weight of tablets is differ from or not at 95% confidence level.
Transcribed Image Text:A pharmaceutical company manufacturing the Paracetamol tablets with the Average weight of 500 mg and population variance of 36 mg. A quality officer in a company wants to investigate whether the weight of Paracetamol tablets is differed from 500 mg. To investigate He taken 50 tablets at the time of manuracturing and find that the average weight of 5o tablets is 504.5 mg. Make the hypothesis test that the average weight of tablets is differ from or not at 95% confidence level.
Step 1- Hypotheses -:
Null hypothesis H,: u = 500 (or) The population average weight of tablets is equal to 500 mg
Alternative hypothesis H,: u# 500 (or) The population average weight of tablets is not equal to 500 mg
Step 2 - Calculation of z test statistic:
Given values are,
x bar = sample mean = 504.5 mg
H = population mean = 500 mg
o = Population standard deviation =6 [ because population variance o = 36]
n= sample size = 50
Substitute the above values in z test statistic formula as given
= z
vn
504.5-500
V50
4.5
6/7.071
4.5
0.85
= 5.30
Thus, the z test statistic is 5.30
Step 3:z-table value:
Given Significance level is a = 0.05.
Now, Za/2 is the z critical value at 95% confidence level is ±1.96 (refer from the standard normal z table values
i.e., Za/2 = Z0.05/2 =±1.96
step 4 - Rejection rule:
we rejecting null hypothesis H, if z test statistic value outside the range of z critical values. otherwise accept
null hypothesis H, at 95% confidence level.
Step 5- Conclusion:
Since, the z test statistic (5.30) is outside the z critical values of (-1.96 to +1.96). Thus, we have sufficient
evidence to reject the null hypothesis H, at 95% confidence level.
Hence, null hypothesis H, is rejected.So, the average weight of tablets is not equal to 500 mg
Transcribed Image Text:Step 1- Hypotheses -: Null hypothesis H,: u = 500 (or) The population average weight of tablets is equal to 500 mg Alternative hypothesis H,: u# 500 (or) The population average weight of tablets is not equal to 500 mg Step 2 - Calculation of z test statistic: Given values are, x bar = sample mean = 504.5 mg H = population mean = 500 mg o = Population standard deviation =6 [ because population variance o = 36] n= sample size = 50 Substitute the above values in z test statistic formula as given = z vn 504.5-500 V50 4.5 6/7.071 4.5 0.85 = 5.30 Thus, the z test statistic is 5.30 Step 3:z-table value: Given Significance level is a = 0.05. Now, Za/2 is the z critical value at 95% confidence level is ±1.96 (refer from the standard normal z table values i.e., Za/2 = Z0.05/2 =±1.96 step 4 - Rejection rule: we rejecting null hypothesis H, if z test statistic value outside the range of z critical values. otherwise accept null hypothesis H, at 95% confidence level. Step 5- Conclusion: Since, the z test statistic (5.30) is outside the z critical values of (-1.96 to +1.96). Thus, we have sufficient evidence to reject the null hypothesis H, at 95% confidence level. Hence, null hypothesis H, is rejected.So, the average weight of tablets is not equal to 500 mg
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