Using Standard Normal Distribution

How this work?

What do you like to guess?

Please enter the missing values

First and second values cannot be the same

First value cannot be larger than second value

To calculate the Mean and the Standard deviation, enter the historical previous values

You need at least two values that are not equivalent in order to have a standard deviation greater than zero

Please enter the missing values

Cannot use the same value for all the fields

Please try entering other values for the z-score to be within range of -3.9 and 3.9

Probability of the decision occuring

Mean (μ) = **{{mean}}**

Standard Deviation (σ) =**{{sd}}**

z-score for**{{numbers1}} ** = (x – μ (mean)) / σ (standard deviation) = **{{z}}**

which is rounded to**{{rounded}}**

Now in the table, we will look for the value of**{{rounded}}**

which equal to probability =**{{match}}**

Standard Deviation (σ) =

z-score for

which is rounded to

Now in the table, we will look for the value of

which equal to probability =

Mean (μ) = **{{mean}}**

Standard Deviation (σ) =**{{sd}}**

z-score for**{{numbers1}} ** = (x – μ (mean)) / σ (standard deviation) = **{{z}}**

which is rounded to**{{rounded}}**

Now in the table, we will look for the value of**{{rounded}}**

which equal to probability =**1-{{1-match}} ={{match}}**

Standard Deviation (σ) =

z-score for

which is rounded to

Now in the table, we will look for the value of

which equal to probability =

Mean (μ) = **{{mean}}**

Standard Deviation (σ) =**{{sd}}**

z-score for**{{numbers1}} ** = (x – μ (mean)) / σ (standard deviation) = **{{z}}**

which is rounded to**{{rounded}}**

Now in the table, we will look for the value of**{{rounded}}**

which equal to probability =**{{match1}}**

z-score for**{{numbers2}} ** = (x – μ (mean)) / σ (standard deviation) = **{{z2}}**

which is rounded to**{{rounded2}}**

Now in the table, we will look for the value of**{{rounded2}}**

which equal to probability =**{{match2}}**

Standard Deviation (σ) =

z-score for

which is rounded to

Now in the table, we will look for the value of

which equal to probability =

z-score for

which is rounded to

Now in the table, we will look for the value of

which equal to probability =

We are going to subtract the upper limit by the lower limit

**{{match2}} - {{match1}}** = **{{match}}**

We are going to subtract the upper limit by the lower limit

**{{match1}} - {{match2}} ** = **{{match}}**

We are going to subtract both values

**{{match1}} - {{match2}} ** = **{{match}}**

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