An orange grown in Florida usually has a thick and tightly fitting skin, and is also heavy with juice. Californians say that if you want to eat a Florida orange you have to get into a bathtub first. California oranges are light in weight and have thick skins that break easily and come off in hunks. The flesh inside is marvelously sweet, and the segments almost separate themselves. In Florida, it is said that you can run over a California orange with a ten-ton truck and not even wet the pavement. The differences from which these hyperboles arise will prevail in the two states even if the type of orange is the same. In arid climates, like California's, oranges develop a thick albedo, which is the white part of the skin. Florida is one of the two or three most rained-upon states in the United States. California uses the Colorado River and similarly impressive sources to irrigate its oranges, but of course irrigation can only do so much. The annual difference in rainfall between the Florida and California orange-growing areas is one million one hundred and forty thousand gallons per acre. For years, California was the leading orange-growing state, but Florida surpassed California in 1942, and grows three times as many oranges now. California oranges, for their part , can safely be called three times as beautiful.
I carried out a questionnaire exercise 4 years ago, attempting to replicate (as far as possible with only me as the resource) a questionnaire study done over a period of 3 years, with an initial population of 128,000, reducing to 2,000 by the end of the study by issuing a single online questionnaire to a very much smaller population based in a different part of the same country, whose population had not been part of the initial exercise. The results are all in SPSS but I also have them available in Excel. I carried out a descriptive analysis of the findings from my questionnaire and compared my results with the same questions from the original survey but am now being asked to compare my results in more depth with those from the original questionnaire. My statistical knowledge is sketchy 🙁 so I am not even sure whether the question I am going to ask here is a “good one”!). For both studies, only gender and age bands are known and I was wondering whether it would be possible to use the two sample t test to say whether the two populations are similar (or not) in their responses to individual questions in the two questionnaires. I have several books that I have consulted and online papers and I still can’t answer the question. Are you able to shed any light please? Thank you.
Although this sentence has a contrast transition , the criteria for contrasting are not the same. The criteria used for Aaron are height (tall) and strength (strong). We would expect similar criteria to be used for Bruce (maybe he is short and weak), but instead we have new criteria, namely appearance (handsome) and intelligence (intelligent). This is a common mistake for students when writing this type of paragraph or essay. Compare the following, which has much clearer criteria (contrast structure words shown in bold).