Hi all,
I am having hardtime to calculate the weighted standard deviation. I have different values in column A and its weight in Colum B. How can i calculate WSD of the values considering the weightage of each value. That would be great if anyone could suggest the solution. Thanks in advance.
Rohb
<TABLE style="WIDTH: 96pt; BORDER-COLLAPSE: collapse" cellSpacing=0 cellPadding=0 width=128 border=0><COLGROUP><COL style="WIDTH: 48pt" span=2 width=64><TBODY><TR style="HEIGHT: 15pt; mso-height-source: userset" height=20><TD class=xl65 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; WIDTH: 48pt; BORDER-BOTTOM: #ece9d8; HEIGHT: 15pt; BACKGROUND-COLOR: transparent" width=64 height=20>Value</TD><TD class=xl65 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; WIDTH: 48pt; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent" width=64>Weight</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>0.15</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.22</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>0.65</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.54</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>2.5</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.14</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>6</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.04</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>12</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.03</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>23.5</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.02</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>77.5</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.00</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>124</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.00</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl63 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>Sum
weight
</TD><TD class=xl67 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">1.00</TD></TR></TBODY></TABLE>
I am having hardtime to calculate the weighted standard deviation. I have different values in column A and its weight in Colum B. How can i calculate WSD of the values considering the weightage of each value. That would be great if anyone could suggest the solution. Thanks in advance.
Rohb
<TABLE style="WIDTH: 96pt; BORDER-COLLAPSE: collapse" cellSpacing=0 cellPadding=0 width=128 border=0><COLGROUP><COL style="WIDTH: 48pt" span=2 width=64><TBODY><TR style="HEIGHT: 15pt; mso-height-source: userset" height=20><TD class=xl65 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; WIDTH: 48pt; BORDER-BOTTOM: #ece9d8; HEIGHT: 15pt; BACKGROUND-COLOR: transparent" width=64 height=20>Value</TD><TD class=xl65 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; WIDTH: 48pt; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent" width=64>Weight</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>0.15</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.22</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>0.65</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.54</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>2.5</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.14</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>6</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.04</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>12</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.03</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>23.5</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.02</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>77.5</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.00</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl66 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>124</TD><TD class=xl64 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">0.00</TD></TR><TR style="HEIGHT: 12.95pt; mso-height-source: userset" height=17><TD class=xl63 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; HEIGHT: 12.95pt; BACKGROUND-COLOR: transparent" height=17>Sum
weight
</TD><TD class=xl67 style="BORDER-RIGHT: #ece9d8; BORDER-TOP: #ece9d8; BORDER-LEFT: #ece9d8; BORDER-BOTTOM: #ece9d8; BACKGROUND-COLOR: transparent">1.00</TD></TR></TBODY></TABLE>