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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).

Q: How is z score and p value related?

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The one-tailed z-value is: P(Z < z) = 0.9693 => z = 1.8706

z-score of a value=(that value minus the mean)/(standard deviation). So if a value has a negative z-score, then it is below the mean.

Yes. If a score is below the mean, the z score will be negative.

1.41

A z table is used to calculate the probability of choosing something that is normally distributed. In order to use it, first a z score is needed. A z score is the number of standard distributions a value is away from the mean of the data. In order to find the z score, take the value of the datum, subtract the mean, then divide by the standard deviation. The result is a z score. Look up the z score on the table to find the probability of getting anything equal to or lesser than the value you chose.

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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

The one-tailed z-value is: P(Z < z) = 0.9693 => z = 1.8706

1.1236

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.

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

A z-score of 0 means the value is the mean.

z-score of a value=(that value minus the mean)/(standard deviation). So if a value has a negative z-score, then it is below the mean.

z-score of a value=(that value minus the mean)/(standard deviation)

z-score of a value=(that value minus the mean)/(standard deviation)

z-score of a value=(that value minus the mean)/(standard deviation)

A negative z score is a value that is less than the mean value.

You either look it up in a table of z scores or you can use a calculator such as the TI8 and use normalcdf.