00:01
Okay, for this problem, we're going to refer back to some context from a previous problem.
00:06
And we're going to do some adjustments to some mean information that we know about cattle, cow, and steers that are going to be sold at auction.
00:15
So we were told the angus weight, the mean weight of yearly angus steers is 1152 pounds.
00:23
So it's an average for these cattle.
00:28
And the standard deviation is 84 pounds.
00:34
And what we want to know in this case is we want to know, we want to know they want to sell 1 ,000 -pound cows.
00:42
So they want their cows to be over 1 ,000 pounds.
00:48
What they're going to do is they're going to subtract 1 ,000 pounds from the mean to see if we know how that's going to change the mean.
00:56
So that's what we're going to do for this problem.
00:58
So they're trying to get us to see the effect on the information.
01:01
And in the end, we're also going to, so they want us to find the new mean and standard deviation.
01:13
And in the end, they want us to do a little bit of cost analysis on this too.
01:19
So let's go ahead and do this.
01:21
I can write it out at the end.
01:23
So we're going to do this.
01:24
We're going to say, well, let's take this in our plan for this problem.
01:29
We're going to take the mean minus 1 ,000.
01:33
We can do that.
01:35
To just the mean, we want to know what the mean is going to be for if you take cows that are only over 1 ,000.
01:40
So we can take our 1152 minus 1 ,000.
01:47
So now we know our new mean just equals to 1502 pounds.
01:55
All right.
01:59
So you can do that with means...