Two sets of data with identical means would have, by default, the same standard deviation

A) True
B) False


B

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A researcher designs a study to measure whether receiving a free season pass to a beautiful ski resort near Bountiful, Utah, increases the number of days a subject who has lived in the area for 1 to 3 years skis during the season

An independent samples t-test of correlation is used to measure the effect of receiving a season pass upon number of ski days. If, instead, the researcher decided to measure the subjects' responses by asking them to check one of these four replies on a survey, "Much more often than last year," "More often than last year," "Just about the same as last year," or "Less often than last year," why would the independent samples t-test have to be abandoned for a Mann-Whitney U test instead? (Select all that apply.) a. The variable of skiing is measured at the nominal instead of the ratio level. b. The variable of skiing is now measured at the ordinal instead of ratio level. c. The variable amount skied is now measured at the nominal level instead of the ratio level. d. The variable amount skied is now measured at the ordinal level instead of the ratio level. e. Both variables' levels have changed. f. The independent samples t-test used demands ratio-level or interval-level data. g. The Mann-Whitney U test allows for ordinal level values, but not nominal.

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The nurse is caring for a client from the Mexican culture who is moaning and groaning in response to pain. The nurse plans care understanding that this response is viewed in the client's culture as

a. a means to eliminate the pain. b. a method of expressing unmet needs. c. a woman-like and weak response to pain. d. an expression of acceptance of pain.

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The nurse suspects a client's heart is failing when which of the following heart sounds is assessed?

1. S1 2. S2 3. S3 4. S4

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Which of the following is a common error found in research reports?

A) overinterpreting the results B) including an abstract C) writing a summary D) drawing conclusions from results

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