## How do you find the probability of something greater than?

If you want a “greater-than” probability — that is, p(X > b) — take one minus the result from Step 4. If you need a “between-two-values” probability — that is, p(a < X < b) — do Steps 1–4 for b (the larger of the two values) and again for a (the smaller of the two values), and subtract the results.

## What does it mean if z-score is too high?

So, a high z-score means the data point is many standard deviations away from the mean. This could happen as a matter of course with heavy/long tailed distributions, or could signify outliers. A good first step would be good to plot a histogram or other density estimator and take a look at the distribution.

**What does Normdist mean in Excel?**

The NORMDIST function is one of the statistical functions. It is used to return the normal distribution for the specified mean and standard deviation. The NORMDIST function syntax is: NORMDIST(x , mean , standard-deviation , cumulative-flag) x is the value you want to calculate the distribution for, any numeric value.

**What if z-score is greater than 1?**

A z-score (aka, a standard score) indicates how many standard deviations an element is from the mean. A z-score equal to 1 represents an element that is 1 standard deviation greater than the mean; a z-score equal to 2, 2 standard deviations greater than the mean; etc.

### What if probability is greater than 1?

Probability of an event cannot exceed 1. probability of any thing will lie between 0 to 1.

### Is having a high z-score good or bad?

The value of the z-score tells you how many standard deviations you are away from the mean. If a z-score is equal to 0, it is on the mean. A positive z-score indicates the raw score is higher than the mean average.

**What does Normdist mean in statistics?**

NORMDIST(x, mean, standard_dev, cumulative) Returns the probability of getting less than or equal to a particular value in a normal distribution.

**Why is the z-score of the mean equal to zero?**

The simple answer for z-scores is that they are your scores scaled as if your mean were 0 and standard deviation were 1. Another way of thinking about it is that it takes an individual score as the number of standard deviations that score is from the mean.

#### What do you need to know about normdist?

The arithmetic mean of the distribution. Standard_dev Required. The standard deviation of the distribution. Cumulative Required. A logical value that determines the form of the function. If cumulative is TRUE, NORMDIST returns the cumulative distribution function; if FALSE, it returns the probability mass function.

#### Which is the correct value for the normdist function?

Cumulative Required. A logical value that determines the form of the function. If cumulative is TRUE, NORMDIST returns the cumulative distribution function; if FALSE, it returns the probability mass function. If mean or standard_dev is nonnumeric, NORMDIST returns the #VALUE! error value.

**When to use normdist if mean is nonnumeric?**

If mean or standard_dev is nonnumeric, NORMDIST returns the #VALUE! error value. If standard_dev ≤ 0, NORMDIST returns the #NUM! error value. If mean = 0, standard_dev = 1, and cumulative = TRUE, NORMDIST returns the standard normal distribution, NORMSDIST.

**Do you divide the result by 100 in normdist?**

When using the “false” option, divide the result by 100. When using the “false” option, divide the result by 100. That’s not even wrong. NORMDIST (x, mean, dev, FALSE) does not return a probability; it returns the density function, which is the slope of the cumulative distribution function.