Sacramento Kings today......

[flyingillini]

Do they continue their supremacy today or does it end?

 

[KVB]

Don't mush the Kings, Illini.

Don't mush the Kings.

We now about you a Landers, the ulitmate musher.

So I say again, don't mush the Kings.

 

[jjgold]

Everyone on them

 

[charliebrown]

Today as in Saturday?

 

[Jrgum3]

Everyone on them

I'm not on them. I flip flopped on this game and if the Kings get me again it wouldn't be the first time this year and nor will it be the last time. I can't get them right because they're inconsistent but I'm on the Pelicans here because I think they're deeper than the Kings and will find a way to get it done against a Kings team that is largely inconsistent.

 

[flyingillini]

Kings look bad, real bad.

 

[jjgold]

NBA home courts are just too tough

 

[flyingillini]

NBA home courts are just too tough

I turned on a movie, game was over at half time

 

[KVB]

I turned on a movie, game was over at half time

I have not watched any of it, but I do know it is NOT over.

 

[flyingillini]

I have not watched any of it, but I do know it is NOT over.

As "Landers" would say " Do you watch basketball" Variance my friend variance. Watch a movie KVbster. Game is done.

 

[KVB]

As "Landers" would say " Do you watch basketball" Variance my friend variance. Watch a movie KVbster. Game is done.

Only have PFL up at the moment.

That's the Professional Fighter's League.

All I can say about PFL is...

 

[flyingillini]

Only have PFL up at the moment.

That's the Professional Fighter's League.

All I can say about PFL is...

i am watching it too, my 91 year old dad just said " what the hell is this garbage , can we put a movie on" haha

 

[KVB]

I took a little Kings +9.5 (-105) LIVE so I don't think we're done here.

 

[flyingillini]

I took a little Kings +9.5 (-105) LIVE so I don't think we're done here.

You learned this in the 10th grade KVbster,
The variance (σ2), is defined as the sum of the squared distances of each term in the distribution from the mean (μ), divided by the number of terms in the distribution (N). You take the sum of the squares of the terms in the distribution, and divide by the number of terms in the distribution (N).

 

[KVB]

You learned this in the 10th grade KVbster,
The variance (σ2), is defined as the sum of the squared distances of each term in the distribution from the mean (μ), divided by the number of terms in the distribution (N). You take the sum of the squares of the terms in the distribution, and divide by the number of terms in the distribution (N).

 

[flyingillini]

Variance is the average squared deviations from the mean, while standard deviation is the square root of this number. Both measures reflect variability in a distribution, but their units differ: Standard deviation is expressed in the same units as the original values (e.g., minutes or meters).

 

[KVB]

Variance is the average squared deviations from the mean, while standard deviation is the square root of this number. Both measures reflect variability in a distribution, but their units differ: Standard deviation is expressed in the same units as the original values (e.g., minutes or meters).

 

[flyingillini]

In statistics, variance measures variability from the average or mean. It is calculated by taking the differences between each number in the data set and the mean, then squaring the differences to make them positive, and finally dividing the sum of the squares by the number of values in the data set.

 

[KVB]

In statistics, variance measures variability from the average or mean. It is calculated by taking the differences between each number in the data set and the mean, then squaring the differences to make them positive, and finally dividing the sum of the squares by the number of values in the data set.

 

[KVB]

I took a little Kings +9.5 (-105) LIVE so I don't think we're done here.