In this paper I am acquittance to perform a one- doged, one-sample t¬- examen in exhibition to test the zip derive that the modal(a) issuing of ounces of metric texture per stroke equals sixteen. A manufacturing business of a particular marker of cereal maintains there is an fairish of sixteen ounces of cereal per case. On the other hand, a consumer reconcile radical asserts the average is fewer than sixteen ounces per box. The consumer group is going to deposit a twelvemonth action lawsuit for moody announce if the average is fewer than sixteen ounces per box. I was hired by the consumer group to keep an eye on whether the consumer group is correct or the cereal manufacturer is correct. gibe to Sprinth alto wedgeher (2003, p. 249), Sometimes, however, a researcher non unaccompanied assumes that a smashed deflection between samples result blow over entirely also predicts the direction of the difference¬. When this happens, the statistical finale is not based on both(prenominal) tails of the distribution, but unless one. In this instance, the sign of the t ratio is crucial. When conducted in this way, the t test is called a one-tail t test. The calculation of a one- tail t test is akin to that of the two-tail t. The only differences be in the way the alternative shot is written and in the rule use for looking up the table entertain of t [italics in original].
I willy-nilly selected 20 supermarkets, and from separately supermarket I randomly selected one box of the manufacturers cereal. I then weighed the cereal in each box for all twenty boxes. I came up with numbers ranging from 12.4 universe the terminal to 18.4 being the highest weight of the cereal. I then used the one-tailed, one-sample t test to test the null hypothesis that the average number of ounces of cereal per box equals sixteen. after completing the one-tailed, one-sample t test I compared the alpha take aim to the significance and firm to carry on the null hypothesis. If you want to get a rich essay, nightspot it on our website: Orderessay
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