A Binomial Distribution Calculator is a tool used to calculate the probability of a certain number of successes in a given number of trials, where each trial has a fixed probability of success. It is based on the Binomial Distribution, which is a statistical model used to calculate the probability of a certain number of successes in a given number of independent trials.
@import url(‘https://fonts.googleapis.com/css?family=Droid+Serif|Raleway’);
.axis–y .domain {
display: none;
}
h1 {
text-align: center;
font-size: 50px;
margin-bottom: 0px;
font-family: ‘Raleway’, serif;
}
p {
color: black;
margin-bottom: 15px;
margin-top: 15px;
font-family: ‘Raleway’, sans-serif;
}
#words {
color: black;
font-family: Raleway;
max-width: 550px;
margin: 25px auto;
line-height: 1.75;
padding-left: 100px;
}
#words_calc {
color: black;
font-family: Raleway;
max-width: 550px;
margin: 25px auto;
line-height: 1.75;
padding-left: 100px;
}
#hr_top {
width: 30%;
margin-bottom: 0px;
border: none;
height: 2px;
color: black;
background-color: black;
}
#hr_bottom {
width: 30%;
margin-top: 15px;
border: none;
height: 2px;
color: black;
background-color: black;
}
#words label, input {
display: inline-block;
vertical-align: baseline;
width: 350px;
}
#buttonCalc {
border: 1px solid;
border-radius: 10px;
margin-top: 20px;
padding: 10px 10px;
cursor: pointer;
outline: none;
background-color: white;
color: black;
font-family: ‘Work Sans’, sans-serif;
border: 1px solid grey;
/* Green */
}
#buttonCalc:hover {
background-color: #f6f6f6;
border: 1px solid black;
}
#words_intro {
color: black;
font-family: Raleway;
max-width: 550px;
margin: 25px auto;
line-height: 1.75;
}
P(X=43) = 0.03007
P(X<43) = 0.06661
P(X≤43) = 0.09667
P(X>43) = 0.90333
P(X≥43) = 0.93339
function pvalue() {
//get input values
var p = document.getElementById(‘p’).value*1;
var n = document.getElementById(‘n’).value*1;
var k = document.getElementById(‘k’).value*1;
//assign probabilities to variable names
var exactProb = jStat.binomial.pdf(k,n,p);
var lessProb = jStat.binomial.cdf(k-1,n,p);
var lessEProb = jStat.binomial.cdf(k,n,p);
var greaterProb = 1-jStat.binomial.cdf(k,n,p);
var greaterEProb = 1-jStat.binomial.cdf(k-1,n,p);
//output probabilities
document.getElementById(‘k1’).innerHTML = k;
document.getElementById(‘k2’).innerHTML = k;
document.getElementById(‘k3’).innerHTML = k;
document.getElementById(‘k4’).innerHTML = k;
document.getElementById(‘k5’).innerHTML = k;
document.getElementById(‘exactProb’).innerHTML = exactProb.toFixed(5);
document.getElementById(‘lessProb’).innerHTML = lessProb.toFixed(5);
document.getElementById(‘lessEProb’).innerHTML = lessEProb.toFixed(5);
document.getElementById(‘greaterProb’).innerHTML = greaterProb.toFixed(5);
document.getElementById(‘greaterEProb’).innerHTML = greaterEProb.toFixed(5);
}