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 Brittany_6462 #1 Posted : Friday, May 28, 2021 8:05:01 PM Rank: MemberGroups: Registered Joined: 4/20/2021Posts: 19Thanks: 0 timesWas thanked: 0 time(s) in 0 post(s) I am confused what sort of information should I be using from the table to answer this questions. I thought the passage said there was no correlation? Back to top User Profile
 INSTR_Katrina_128 #2 Posted : Sunday, May 30, 2021 5:07:19 PM Rank: Advanced MemberGroups: Registered Joined: 5/18/2021Posts: 60Thanks: 0 timesWas thanked: 0 time(s) in 0 post(s) This is a really tricky question. It helps if you've taken a stats course before and have done hypothesis testing. Otherwise, it's just... weird. πThe main thing to focus on is the value of p = 0.197 or 19.7%.With hypothesis testing, we are trying to test some sort of hypothesis (duh?).There is always a NULL hypothesis and an ALTERNATIVE hypothesis. In the case of a correlation, these would be:NULL HYPOTHESIS: There is NO correlation between the two variables.ALTERNATIVE HYPOTHESIS: There IS a correlation between the two variables.Then, we need to choose a "confidence level" with which we want to be certain of our results. A value of 95%-confidence is pretty popular, and is usually a good place to start if you don't know what to choose. But, if you're given some data (like a p-value or probability-value), you can also look there.Note that if we have 95% confidence, then we have 5% doubt. Or, if we have 90% confidence, then we have 10% doubt.Here's the big thing to remember: IF THE P-VALUE IS SMULL, REJECT THE NULL. (I've written it stupidly on purpose).So, if we set our level of confidence at 80% (which means we have 20% doubt), then we can reject the null hypothesis and conclude that the variables are correlated with each other BECAUSE our p-value is LESS than our doubt value of 20%. Since the p-value is SMULL we reject the null.πππΆπNeed a master's degree in stats to do this one... π« Back to top User Profile
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