Question : i want to compare two means (40 and 32.34) and i think that it can be done by indipendent sample t test in spss softwar and i want to know is there any significant difference (p value) between 2 means?
please help me
Answer : Analytical Software at SPSS.com. Specializing in data mining, customer relationship management, business intelligence and data analysis.
Question : The direction in my project states 'Calculate the 95% confidence interval using the sample standard deviation and a proper z* value'.
My professor said that SPSS does not have Z-tests and I have to do it by hand. He gave me the formula xbar + zalpha/2 s/sqrrootn
I'm not sure if he's said that the z* value is that formula or if that's how to calculate the Z-test with a 95% CI. How do I calculate a Z-test and is that what he's asking for?
Answer : If you consult a normal distribution table, you'll find that z for 95% confidence is 1.960. Alpha is 0.05, and alpha/2 is 0.025.
Some tables will have 0.025 as the column heading, others will have 0.975. It depends on what portion of the curve the area lies under.
Question : In statistics, I have to 'compare the means of all dependent variables against who the variable voted (yes/no) in 2004'. Basically variables vs. the independent variable of voting.
I will compare the dependent variables: organizational membership, # of organization belonging to, & education, VERSUS independent variables: of age and voted. I did a crosstab on SPSS.
What does it convey when it says 'the largest means will have the largest inference'.
-----Variables came from 2004 ANES D..
Answer : Means Comparison: Also called a t-test. Basically, what you're doing, is trying to find out if the difference between the means of various dependent variables is a significant one, thus proving or disproving the null hypothesis that the means of two normally distributed populations are equal.
You compare the mean, the standard deviation, and the sample size of two sets of data with a t-test, and if your P value is less than 0.05, you conclude that the difference is significant..in other words, the variable made a difference.