-2.58,2.58
1.64
The critical value at a significance level of 0.01 depends on the statistical test being used. For a two-tailed z-test, the critical z-values are approximately ±2.576. For a t-test, the critical value will vary based on the degrees of freedom associated with the sample size. It's essential to refer to the relevant statistical table or calculator for the exact critical value based on the specific test and context.
Yes and it is z=x+iy
The critical value is an FINISHED
The two tailed critical value is ±1.55
'z' is used to denote integers in german. 'z' denotes zahlen
-2.58,2.58
1.75
1.64
1.31
The Z-score is just the score. The Z-test uses the Z-score to compare to the critical value. That is then used to establish if the null hypothesis is refused.
It depends on whether the interval is one sided or two sided. The critical value for a 2-sided interval is 1.75
1.96
The answer will depend on whether the critical region is one-tailed or two-tailed.
No, the Z-test is not the same as a Z-score. The Z-test is where you take the Z-score and compare it to a critical value to determine if the null hypothesis will be rejected or fail to be rejected.
You put an apostrophe after the z ie. This is Baz' chair.