Sentences with phrase «few data points because»

Today, the market has few data points because there are so few publicly traded post-acute companies, and their results aren't so good.

He said that the 1.6 number was an outlier that was based on very few data points because we have never before in U.S. history seen valuations as high as those that applied in early 2000 (it was a P / E10 value in the low 30s that brought on the Great Depression).

Not exact matches

That's because it will be one of the few remaining data points that Federal Reserve Chair Janet Yellen and the rest of the Federal Open Market Committee will have before they decide whether or not to begin the process of raising interest rates at their upcoming meeting December 15th and 16th.

We do not show a table because there are relatively few data points (and in fact, not many games where the public is lower than 30 % on either side).

At this point during the telling of the story, a few grad students in the room inevitably start to gasp and put on «oh no» faces because they know what's coming next — which is, of course, that my adviser decided not to present my data after all.

Because of this and the generally low sign up bonuses people generally do not try to churn these cards, so there are very few data points.

It is a fact that the earth has been around for much longer than the 160,000 year climate record you point to, and it's not a «fact» that CO2 «never» exceed 280 ppm — another of your loose «facts» — because we're missing a few billion years of data.

There will never have been statistically significant global warming is the last few years, because statistical significance is heavily dependent on the amount of data points and hence the length of the record you are trending.

My guess is that you can't find anything post-2008 because there are so few data points that the error bars on short trends are going to swamp any chance of significance (right?).

As long as the long term trends you describe clearly show that the rates themselves have been increasing, readers can see these very short term variations as noise, but I thought the point deserved some attention, particularly because of prominence of Figure 2 in Barry Bickmore's post, and tbe NOAA data for the past few years.