Correlation between a continous and nominal data in SPSS

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To check for correlation between continuous data and nominal data in SPSS, one can use techniques such as ANOVA or t-tests, rather than logistic regression, which is typically used for binary outcomes. The "type of GPS receiver" as nominal data can be analyzed to see if there are significant differences in "latency" across the different types. Post-hoc tests may be necessary to identify specific group differences if ANOVA shows significance. It's important to ensure that the assumptions of the chosen statistical test are met before proceeding. Understanding the right statistical approach is crucial for accurate analysis of the relationship between these data types.
sheila92lala
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How do i check for correlation or test for association between a continuous data and nominal data in SPSS? My nominal data is the "type of GPS receiver" and the continuous data is "latency" in seconds.
 
Isnt this done with logistic regression?
 

Thread 'Hypothesis testing: Defining H0, HA hypotheses so that ( H_A)_A' makes sense'

The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...
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