Homework Help is Here – Start Your Trial Now!
Math
Statistics
True or False 1. Chi-square test of independence requires that there is no less than 1 observed frequency and that no more than 20% of the observed frequencies is less than 5. 2. Scatter plot can be used to visualize the relationship between two variables measured in at least nominal scale. 3. To test the significance of the Pearson's correlation coefficient, one assumption is that the data should follow the bivariate normal distribution. 4. A Pearson's correlation coefficient of zero means that there is no any relationship that exists between the two variables. 5. Spearman's and Kendall's correlations can be used to measure any kind of relationship between two variables as long as they are measured in at least ordinal scale.

True or False 1. Chi-square test of independence requires that there is no less than 1 observed frequency and that no more than 20% of the observed frequencies is less than 5. 2. Scatter plot can be used to visualize the relationship between two variables measured in at least nominal scale. 3. To test the significance of the Pearson's correlation coefficient, one assumption is that the data should follow the bivariate normal distribution. 4. A Pearson's correlation coefficient of zero means that there is no any relationship that exists between the two variables. 5. Spearman's and Kendall's correlations can be used to measure any kind of relationship between two variables as long as they are measured in at least ordinal scale.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 26PFA
See similar textbooks
icon
Related questions
Question
True or False 1. Chi-square test of independence requires that there is no less than 1 observed frequency and that no more than 20% of the observed frequencies is less than 5. 2. Scatter plot can be used to visualize the relationship between two variables measured in at least nominal scale. 3. To test the significance of the Pearson's correlation coefficient, one assumption is that the data should follow the bivariate normal distribution. 4. A Pearson's correlation coefficient of zero means that there is no any relationship that exists between the two variables. 5. Spearman's and Kendall's correlations can be used to measure any kind of relationship between two variables as long as they are measured in at least ordinal scale.
Transcribed Image Text:True or False 1. Chi-square test of independence requires that there is no less than 1 observed frequency and that no more than 20% of the observed frequencies is less than 5. 2. Scatter plot can be used to visualize the relationship between two variables measured in at least nominal scale. 3. To test the significance of the Pearson's correlation coefficient, one assumption is that the data should follow the bivariate normal distribution. 4. A Pearson's correlation coefficient of zero means that there is no any relationship that exists between the two variables. 5. Spearman's and Kendall's correlations can be used to measure any kind of relationship between two variables as long as they are measured in at least ordinal scale.
Expert Solution
steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
SEE MORE TEXTBOOKS