What statistic would be appropriate for an associational research question involving the correlation between two non-normally...
What statistic would be appropriate for an associational research question involving the correlation between two non-normally distributed, skewed continuous variables?
Homework Answers
The Spearman rank-order correlation coefficient
It is a non parametric measure of the strength and direction of association that exists between two variables measured on at least an ordinal scale.
The test is used for either ordinal variables or for continuous variables
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What statistic would be appropriate for an associational
research question involving the correlation between two
non-normally...
What statistic would be appropriate for a difference research question involving the comparison of two independent...
What statistic would be appropriate for a difference research question involving the comparison of two independent groups on a normally distributed continuous dependent variable? my Answer: Independent samples T-Test. Is this correct? rationale please
Question 22 2 pts Match the following research designs to the appropriate inferential statistic Predictor: categorical...
Question 22 2 pts Match the following research designs to the appropriate inferential statistic Predictor: categorical with rChoo 4 levels; Outcome: se ] categorical with 2 levels Predictor: categorical with (Choose ] 2 levels; Outcome: continuous Predictor continuous; Outcome: continuous VI Choose ] Mean correlation coefficient (r) t-test ANOVA (F) Chi-Square Standard Deviation Predictor: categorical wi 4 levels: Outcome: Which stat? For the following examples, choose the most appropriate
A research analyst states that the correlation between two variables is statistically significant from zero (with...
A research analyst states that the correlation between two variables is statistically significant from zero (with r = 0.85). Which of the following conclusion is appropriate? High values of one variable tend to be associated with low values of the other variable. For every unit of change in one variable tend to be associated with .85 values of the other variable. (C) Any association between the two variables does not appear to be linear. (D) 0.85 indicates...
Measures of correlation are used for identifying relationships between different types of variables. The most appropriate...
Measures of correlation are used for identifying relationships between different types of variables. The most appropriate measure of correlation to use for any given data set, depends on the type of variables and levels of measurement. Which is best? For this discussion, begin by creating an example of a correlational study. Consider what variables it would analyze and what type of data would be collected. Then, develop a main response in which you address the following: Briefly identify the topic...
Question 8 (1 point) Normally distributed data are normally referred to as 1) bell-shaped. 2) asymmetrical...
Question 8 (1 point) Normally distributed data are normally referred to as 1) bell-shaped. 2) asymmetrical 3) skewed 4) 134%,ktxl. Question 9 (1 point) What is the null hypothesis for a Chi-square test? 1) The two variables have a significant relationship. 2) The two variables have equal means. 3) The two variables are independent. 4) The two variables are dependent.
1-2. The sample of n = 30 people is selected and the sample correlation between two...
1-2. The sample of n = 30 people is selected and the sample correlation between two variables is r = 0.468. 1. What is the test statistic value for testing whether the true population correlation coefficient is equal to zero? (calculate t-test statistic) 2. What is the t- critical value for alpha= 0.01. and what you can conclude about population correlation ( is there significant correlation between two variables).
If im trying to determine correlation between two variables, BMI & ethnicity what kind of stastical...
If im trying to determine correlation between two variables, BMI & ethnicity what kind of stastical test should i run? Race is a independent categorical , and nominal. BMI is dependent is quantitive and continuous
What is your initial understanding of a correlation between two variables? What does correlation mean to...
What is your initial understanding of a correlation between two variables? What does correlation mean to you, as your first thought? Describe how to present data to make it more understandable to yourself and others. Explain various types of charts or graphs and appropriate levels of data (nominal, ordinal, scale) for each. How does this fit in with the comment "it's not one size fits all"?
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
To determine if a set of ungrouped raw data is normally distributed, what test statistic would...
To determine if a set of ungrouped raw data is normally distributed, what test statistic would we use? Select one: a. A z-statistic b. An F-statistic c. Anderson-Darling d. A chi-square
Question 22 2 pts Match the following research designs to the appropriate inferential statistic Predictor: categorical with rChoo 4 levels; Outcome: se ] categorical with 2 levels Predictor: categorical with (Choose ] 2 levels; Outcome: continuous Predictor continuous; Outcome: continuous VI Choose ] Mean correlation coefficient (r) t-test ANOVA (F) Chi-Square Standard Deviation Predictor: categorical wi 4 levels: Outcome: Which stat? For the following examples, choose the most appropriate
Question 8 (1 point) Normally distributed data are normally referred to as 1) bell-shaped. 2) asymmetrical 3) skewed 4) 134%,ktxl. Question 9 (1 point) What is the null hypothesis for a Chi-square test? 1) The two variables have a significant relationship. 2) The two variables have equal means. 3) The two variables are independent. 4) The two variables are dependent.
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
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