Many food products contain small quantities of substances that would give an und

Question

Many food products contain small quantities of substances that would give an undesirable taste or smell if they are present in large amounts. An example is the "off-odors" caused by sulfur compounds in wine. Oenologists (wine experts) have determined the odor threshold, the lowest concentration of a compound that the human nose can detect. For example, the odor threshold for dimethyl sulfide (DMS) is given in the oenology literature as 25 micrograms per liter of wine (mug/I). Untrained noses may be less sensitive, however. Here are the DMS odor thresholds for 10 beginning students of oenology. 23 30 41 31 34 32 21 37 35 26 Assume (this is not realistic) that the standard deviation of the odor threshold for untrained noses is known to be sigma = 7 mug/l. A normal quantile plot confirms that there are no systematic departures from normality. (a) Make a stemplot to verify that the distribution is roughly symmetric with no outliers. (A Normal quantile plot confirms that there are no systematic departures from Normality. Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) (b) Give a 95% confidence interval for the mean DMS odor threshold among all beginning oenology students. (Round your answers to three decimal places.) (') (c) Are you convinced that the mean odor threshold for beginning students is higher than the published threshold, 25 mu/I? Carry out a significance test to Justify your answer. (Use alpha = 0.05. Round your value for z to two decimal places and round your P-value to four decimal places.) z = P-value = State your conclusion. Reject the null hypothesis, there is significant evidence that the mean odor threshold for beginning students is higher than the published threshold. Reject the null hypothesis, there is not significant evidence that the mean odor threshold for beginning students is higher than the published threshold. Fail to reject the null hypothesis, there is significant evidence that the mean odor threshold for beginning students is higher than the published threshold. Fail to reject the null hypothesis, there is not significant evidence that the mean odor threshold for beginning students is higher than the published threshold.

Explanation / Answer

a)

b) for above sample mean=31

std error of mean =std deviaition/(n)1/2 =2.214

for 95% CI, z=1.96

hence 95% confidence interval =sample mean -/+ z*std error = 26.661 ; 35.339

c)z=(31-25)/2.214 =-2.71

p value =0.0034

reject the null hypothesis there is significant evidence .........

2 13 2 6 3 0124 3 57 4 1

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