Normally you would find the critical value when given the p value and the test statistic.
Assume the z-score is relative to zero score. In simple terms, assume that we have 0 < z < z0, where z0 is the arbitrary value. Then, a negative z-score can be greater than a positive z-score (yes). How? Determine the probability of P(-2 < z < 0) and P(0 < z < 1). Then, by checking the z-value table, you should get: P(-2 < z < 0) ≈ 0.47725 P(0 < z < 1) ≈ 0.341345
You will need to use tables of z-score or a z-score calculator. You cannot derive the value analytically.The required z-score is 0.524401
The p-value is the probability of any event or the level of significance for any statistical test. The z-score is a transformation applied to a Random Variable with any Normal distribution to the Standard Normal distribution.
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.
1.1236
Normally you would find the critical value when given the p value and the test statistic.
Assume the z-score is relative to zero score. In simple terms, assume that we have 0 < z < z0, where z0 is the arbitrary value. Then, a negative z-score can be greater than a positive z-score (yes). How? Determine the probability of P(-2 < z < 0) and P(0 < z < 1). Then, by checking the z-value table, you should get: P(-2 < z < 0) ≈ 0.47725 P(0 < z < 1) ≈ 0.341345
You will need to use tables of z-score or a z-score calculator. You cannot derive the value analytically.The required z-score is 0.524401
The p-value is the probability of any event or the level of significance for any statistical test. The z-score is a transformation applied to a Random Variable with any Normal distribution to the Standard Normal distribution.
The rejection region for a hypothesis is the set of values such that if the null hypothesis is true, then the probability of observing a value for the test statistic (the z-score) for a random variable that may be assumed to have a Normal distribution, is at least as great as the value actually observed is less than by chance. The latter is an arbitrarily selected value called the p-value - often 5% or 1%.Note that z-scores may be used only if the random variable is approximately Normally distributed - not otherwise.
No. p-values are probabilities but they are not the only ones.
The z-score is a statistical test of significance to help you determine if you should accept or reject the null-hypothesis; whereas the p-value gives you the probability that you were wrong to reject the null-hypothesis. (The null-hypothesis proposes that NO statistical significance exists in a set of observations).
The one-tailed z-value is: P(Z < z) = 0.9693 => z = 1.8706
The only possible value of p is 3.
Prob (-1.31 < z < 0.31) = 0.5266
You need to perform the Z-test on the calculator to find the P-value. The data should be entered by pressing "STAT". Here is a link to guide you; http://calculator.maconstate.edu/mean_test_z/index.html