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Characterize the types of variables and measures required under a t-Test?
Dependent & independent
WHAT IS THE Difference between A t test and chi square?
t test is used when- a) variables are studied b)the size of sample is a small one.(n<30) chi square test is studied when a) attributes are studied
What statistical test should be used to compare whether one of two variables A or B has the greatest influence on variable set C?
t-test
Why are statistical procedures such as t-tests and analysis if variances not appropriate for use in qualitative studies?
Because a t-test is designed to measure the difference between means on variables that can be measured (interval data). For example, comparing the difference of height between males and females in centimetres. Qualitative studies are not interval data, but qualitative information is coded and analysed by frequencies - you are not comparing two normally distributed variables that can be measured on a continuous spectrum of measurement.
What is significance of x-t graph?
It depends on what the variables x and t represent.
How to test data using SPSS?
You can test data using T-Test in SPSS. Click Analyze > Compare Means > Independent-Samples T-Test to run an Independent Samples T-Test in SPSS. In the Independent-Samples T-Test window, you specify the variables to be analyzed. On the left side of the screen, you will see a list of all variables in your dataset.
Characterize the types of variables and measures required under a t-Test?
Dependent & independent
WHAT IS THE Difference between A t test and chi square?
t test is used when- a) variables are studied b)the size of sample is a small one.(n<30) chi square test is studied when a) attributes are studied
What statistical test should be used to compare whether one of two variables A or B has the greatest influence on variable set C?
t-test
Using vector to add objects and display their member variables?
import java.util.Vector; suppose-:::: test t=new test(); /**this is how we add elements to vector*/ Vector v=new Vector(); v.addElements(t);
When an inference procedure is done involving a comparison of two quantitative variables how is the choice between using a two-sample t test or a one-sample matched-pairs test determined?
A matched test is appropriate only if the two variables are measures taken for the same subject.
What are the differences between a two sample t-test and a chi-square test, and how do they each contribute to statistical analysis?
A two-sample t-test is used to compare the means of two independent groups, while a chi-square test is used to determine if there is a relationship between two categorical variables. The t-test helps determine if there is a significant difference in means, while the chi-square test helps determine if there is a significant association between variables. Both tests are important tools in statistical analysis for making inferences about populations based on sample data.
What is the difference between a paired t-test and a chi-square test, and when would you choose to use one over the other in statistical analysis?
A paired t-test is used to compare the means of two related groups, while a chi-square test is used to determine if there is a significant association between two categorical variables. You would choose a paired t-test when comparing means of related groups, such as before and after measurements. You would choose a chi-square test when analyzing categorical data to see if there is a relationship between the variables.
How you measure a force?
You can measure a force with a force meter or by calculating it by using one of two equations depending on the available variables: ma=F or F=m(v1 + v2)/t
How many phonemes in the word test?
There are four phonemes, or speech sounds, in the word test: t / e / s / t
Why are statistical procedures such as t-tests and analysis if variances not appropriate for use in qualitative studies?
Because a t-test is designed to measure the difference between means on variables that can be measured (interval data). For example, comparing the difference of height between males and females in centimetres. Qualitative studies are not interval data, but qualitative information is coded and analysed by frequencies - you are not comparing two normally distributed variables that can be measured on a continuous spectrum of measurement.
What are the key differences between a chi-squared test and a t-test, and how do you decide which one to use in your statistical analysis?
The key difference between a chi-squared test and a t-test is the type of data they are used for. A chi-squared test is used for categorical data, while a t-test is used for continuous data. To decide which test to use in your statistical analysis, you need to consider the type of data you have and the research question you are trying to answer. If you are comparing means between two groups, a t-test is appropriate. If you are examining the relationship between two categorical variables, a chi-squared test is more suitable.
