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BA201 and BA321
Continuous
Probability- Excel and Equations
Excel- commands used in this topic in Office 97 and Office 2000

§ Probability of x values (left tail) §
§ Probability of x values (right tail) §
§ Probability of z values (left tail) §
§ Probability of z values (right tail) §
§ x value associated with a given probability (left tail) §
§ x value associated with a given probability (right tail) §
§ z value associated with a given probability (left tail) §
§ z value associated with a given probability (right tail) §
§ Standardize § Equations §
1. Probability of x values (from left tail)
For the probability (left tail) of a range of x values in the Normal distribution: Paste Function-Statistical-Normdist (cumulative = true yields the cumulative probability; cumulative = false yields the probability mass function.)
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2. Probability of x values (right tail)
For the probability (right tail) of a range of x values in the Normal distribution: Paste Function-Statistical-Normdist (cumulative = true yields the cumulative probability; cumulative = false yields the probability mass function.). Then in another cell put =1 - (cell reference to Normdist). Copy and paste that formula into the cells adjacent to each x. See Probability of x values (left tail) above. Assuming that the first x is in A1, mean in B1, standard deviation in C1 and cumulative is true, then the cell command would look like this:

3. Probability of z values (left tail)
For the cumulative probability (left tail) of a range of z values in the Standard Normal distribution: Paste Function-Statistical-Normsdist. Copy and paste that formula into the cells adjacent to each Z.


4. Probability of z values (right tail)
For the cumulative probability (right tail) of a range of z values in the Standard Normal distribution: Paste Function-Statistical-Normsdist. Then in another cell put =1 - (cell reference to Normsdist). Copy and paste that formula into the cells adjacent to each Z. See Probability of z values (left tail) above. Assuming that the first Z value is in A1, then the cell command would look like this:

5. x value associated with a given probability (left tail)
For an x value associated with a given probability (left tail) in the Normal distribution: Paste Function-Statistical-Norminv. Copy and paste the formula into the cells adjacent to each probability.


6. x value associated with a given probability (right tail)
For an x value associated with a given probability (from right to left) in the Normal distribution: Paste Function-Statistical-Norminv. Then in another cell put =1 - (cell reference to Norminv). Copy and paste that formula into the cells adjacent to each probability. See x value associated with a given probability (left tail) above. Assuming that the first probability is in A1, mean in B1 and standard deviation in C1, then the cell command would look like this:

7. z value associated with a given probability (left tail)
For a z value associated with a given probability (left tail) in the Standard Normal distribution: Paste Function-Statistical-Normsinv. Copy and paste that formula into the cells adjacent to each probability.


8. z value associated with a given probability (right tail)
For a z value associated with a given probability (right tail) in the Standard Normal distribution: Paste Function-Statistical-Normsinv. Then in another cell put =1 - (cell reference to Normsinv). Copy and paste that formula into the cells adjacent to each probability. See z value associated with a given probability (left tail) above. Assuming that the first probability is in A1, then the cell command would look like this:

9. Standardize
To standardize an x value: Paste Function-Statistical-Standardize.
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Continuous Probability
Equations
§ Z Score §
§ Equations not used at this topic site §
Equations used at this topic site
Z Score
1. Zo = [xo - m] / s
where
Zo = Z score
xo = data value
m = population mean
s = population standard deviation
Equations not used at this topic site
Normal Approximation to Binomial
1. Use the normal approximation to the binomial if np > 5 and n(1 - p) > 5 and use m = np and s = Ö( np[1 - p] ) to calculate Z.
(a) If "equal to or less than" (£) in binomial probability statement, add 0.5 units to x before doing the normal calculation.
(b) If "equal to or greater than" (³) in binomial probability statement, subtract 0.5 units to x before doing the normal calculation.
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