QUESTION 1Which of the following scenarios would best be analyzed using a chi-square test of...

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QUESTION 1Which of the following scenarios would best be analyzed using a chi-square test of independence?determining whether males or females have a higher mean score on a test of interpersonal sensitivity.examining the distribution of grades in a classtesting whether more males or females are coffee drinkers versus non-coffee drinkersdetermining if a smoking cessation program reduces smoking behavior in a sample of patients0.5 points QUESTION 2A researcher who is conducting a chi-square test of independence would most likely use which of the following?a scatterplota bar graph containing standard error barsa contingency tablea histogram0.5 points QUESTION 3A contingency table is also referred to as:histogramscatterplotfrequency tablecross-tabulation table0.5 points QUESTION 4In addition to chi-square, what is another example of a nonparametric statistic?Kruskall-Wallis H TestMann-Whitney U TestBoth Kruskall-Wallis and Mann-Whitney are nonparametricNone of the above.0.5 points QUESTION 5The Mann-Whitney U Test is the nonparametric equivalent to which parametric statistic?independent samples t-testregressionANOVAchi-square0.5 points QUESTION 6Which of the following is an advantage of using nonparametric statistical procedures?Non-parametric statistics are less restricted by assumptionsNon-parametric statistics have less statistical powerNon-parametric statistics require that the dependent variable be normally distributedNonparametric statistics are more likely to reject the null hypothesis0.5 points QUESTION 7Which of the following is a disadvantage of using nonparametric statistical procedures?Non-parametric statistics have less statistical powerNon-parametric statistics are less restricted by assumptionsNon-parametric statistics are more likely to reject the null hypothesisNon-parametric statistics require that the dependent variable be normally distributed0.5 points QUESTION 8To calculate degrees of freedom for a chi-square test, a researcher must take the:number of rows minus one, times the number of columns minus onesample size minus twosample size minus onenumber of rows minus one0.5 points QUESTION 9Which of the following is NOT an example of a parametric statistic?rFchi-squaret0.5 points QUESTION 10The most commonly used nonparametric statistic is the:one-way, repeated-measures ANOVAPearson correlation coefficientchi-squareindependent samplesttest

Pooja · Accepted Answer

QUESTION 1
1. Which of the following scenarios would best be analyzed using a chi-square test of independence?
	
	
	Determining whether males or females have a higher mean score on a test of interpersonal sensitivity.
	
	
	examining the distribution of grades in a class
	
	
	testing whether more males or females are coffee drinkers versus non-coffee drinkers
	
	
	determining if a smoking cessation program reduces smoking behavior in a sample of patients
0.5 points
QUESTION 2
1. A researcher who is conducting a chi-square test of independence would most likely use which of the following?
	
	
	a scatterplot
	
	
	a bar graph containing standard error bars
	
	
	a contingency table
	
	
	a histogram
0.5 points
QUESTION 3
1. A contingency table is also referred to as:

QUESTION 1 Which of the following scenarios would best be analyzed using a chi-square test of independence? determining whether males or females have a higher mean score on a test of interpersonal...

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QUESTION 2

QUESTION 3

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		determining whether males or females have a higher mean score on a test of interpersonal sensitivity.
		examining the distribution of grades in a class
		testing whether more males or females are coffee drinkers versus non-coffee drinkers
		determining if a smoking cessation program reduces smoking behavior in a sample of patients

		a scatterplot
		a bar graph containing standard error bars
		a contingency table
		a histogram

		Kruskall-Wallis H Test
		Mann-Whitney U Test
		Both Kruskall-Wallis and Mann-Whitney are nonparametric
		None of the above.

		Non-parametric statistics are less restricted by assumptions
		Non-parametric statistics have less statistical power
		Non-parametric statistics require that the dependent variable be normally distributed
		Nonparametric statistics are more likely to reject the null hypothesis

		Non-parametric statistics have less statistical power
		Non-parametric statistics are less restricted by assumptions
		Non-parametric statistics are more likely to reject the null hypothesis
		Non-parametric statistics require that the dependent variable be normally distributed

		number of rows minus one, times the number of columns minus one
		sample size minus two
		sample size minus one
		number of rows minus one

		one-way, repeated-measures ANOVA
		Pearson correlation coefficient
		chi-square
		independent samplesttest