Sentences with phrase «p values of»

All analyses were performed using IBM SPSS Statistics 20.0 for Windows (IBM, Armonk, NY, USA) and p values of 0.05, 0.01, and 0.001 were used for significance.

P values of less than 0.05 were considered significant.

As predicted by the I - Change Model, P values of attitude, social influence and self - efficacy increased after taking intention into account.

To account for multiple comparisons, P values of ≤.01 were considered significant.

We used 2 - sided P values of less than.05 as the criterion for statistically significant differences.

In Table 4, p values of the nine climate variables (plus SAT trend for the ensembles performing the historical simulation) are also shown.

On the other hand, the p values of many of the results from the SMEs are smaller than the threshold.

P values of Chi - square statistics calculated from rank histogram of the six climate model ensembles

It's just that it's so easy to corrupt — you can «prove» anything with (the misuse of) statistics, especially if you're prepared to accept P values of 0.1 as being significant, RR values very close to unity and confidence intervals which encompass unity (ie no effect), if you're prepared to leave out «inconvenient» results and to gloss over «unfortunate» facts such as lack of biological plausibility, dose response, tiny sample sizes and massive confounding factors.

Naomi Oreskes seems to think that p values of < 0.05 are just «convention» and apparently knows nothing about standard deviation.

Squares represent P values of ORs for each year of the analysis.

Point colors correspond to adjusted P values of >.10 (light gray), ≤.10, >.05 (dark gray), ≤.05, >.01 (orange), and ≤.01 (blue).

One common misinterpretation is that a P value of.05 implies a 95 percent probability that the effect is real (or, in other words, that the chance of a false positive is only 5 percent).

If the data yield a P value of.05, the risk of a false positive is 26 percent, Colquhoun calculates.

A P value of less than.05 should be labeled as merely «suggestive,» they say, not significant.

If you're testing a long shot, say with a 10 percent chance of being effective, the false positive risk for a P value of.05 is 76 percent.

Which in turn drives researchers to finagle their data to get a P value of less than.05.

For retention block 4, we compared the median latency and median excess path length for navigation to store locations that had been learned while stimulation was applied with those learned in the absence of stimulation during blocks 1, 2, and 3, using the Wilcoxon signed - rank test, with a P value of less than 0.05 considered to indicate statistical significance.

A P value of less than 0.0083 was considered significant (Table 1).

Probes with a mean detection P value of > 0.01, non-cytosine guanine dinucleotide (CpG) probes, Y - chromosome probes, and 65 single nucleotide polymorphism (SNP) probes were removed.

The Adonis test yielded an R2 value of 0.287 and a p value of 0.001.

Data presented as mean OR (with 95 % CI) of the purebred group relative to mixed - breed dogs, mean P value of the matched control sampling sets, and the number of times (of 50) that those matched control sampling sets indicated a significant difference in probability that mixed - breed and purebred categories differed in prevalence of each condition (denoted in italics)

While the historical data in the South Pacific region show a highly significant upward trend in the incidence of high intensity events, the satellite - based record shows a less prominent and significant trend of 2.5 m / s per decade with a p value of 0.09.

The fitting of actual prices to theory has a p value of 10 ^ -LCB--60 -RCB-, and the out of sample fit is as good as many theories» in - sample fit, p < 0.001.

I know that with data as noisy as global temperature you need to go out at least 17 to 20 years to achieve a p value of 0.05 or better.

Among the SMEs, the p value of HadCM3 - AO is almost on the threshold (0.05), and MIROC - MPE - A is larger than this threshold.

We can also estimate the p value of these components and test the hypothesis of a uniform distribution.

The investigators would have been notified of the results prior to completion of the study only if a difference in pregnancy rates or STI rates with a critical P value of less than or equal to.001 was observed between either the pharmacy access group or the advance provision group compared with the clinic access group.

Interactions were tested via the Wald test, with a p value of < 0.01 considered to indicate statistical significance given the large sample size available and the multiple testing involved.42 All analyses were carried out using Stata.43

A priori hypotheses about direct and indirect effects were tested using a p value of.05 or less.

Both sets of assumptions were checked and relaxed if there was strong evidence (using a more stringent p value of.001 due to the number of tests involved) that they were inappropriate, and all models were estimated using robust maximum likelihood.

In the third step, we conducted a priori tests concerning differential relations of w1 predictors with both latent constructs using a p value of.05.

We used a more stringent p value of.001 for significance for these post hoc tests.

Variables with a P value of less than 0.25 in the initial univariate χ2 tests were initially entered into the regression equation and were removed in a stepwise fashion if they had a P value of less than 0.1 on likelihood ratio tests.

A 95 % confidence level was used to interpret the statistical significance of probability tests, corresponding to a P value of <.05.

Not exact matches

While Global X lists a P / E of 21 on its website, Bogart said fund managers often toss out negative earnings entirely or cap negative earnings at a certain value and use that capped amount when calculating P / E.

The below graph compares corporate profits after tax (blue) with the S & P 500 stock index (red), with both normed to a value of 100 in 1957:

FORTUNE — The ratio of share price to annual earnings — usually expressed as P / E or simply PE — is the simplest and most widely used metric to gauge the relative value of a pair of companies.

Most of the stocks in this sector are trading at fair value or slightly above — the sector is trading between 14 and 18 times earnings — but Ronan says not to worry about the pricier P / E.

In order to quantify the anomalous nature of the test result, we calculate the probability (a p - value) from an exponential distribution fit to the mini flash crashes during Control Period 2 (that is, the distribution of mini flash crashes in all three - minute windows shown in Fig 3, fit to an exponential distribution).

Value investors and non-value investors alike have long considered the price earnings ratio, which is also known as the p / e ratio for short, a useful metric for evaluating the relative attractiveness of a company's stock price compared to the current earnings of a firm.

The most popular way to measure value is the price - earnings ratio, or P / E ratio, which represents the multiple of earnings that an investor is paying to own a stock.

The overvaluation of the p / e ratio corrected itself in the 2008 - 2009 crash when Google's stock price lost so much value it obliterated most of the gains made since the IPO.

Even if you knew what earnings would be next year... A fair value P / E ratio of 15 makes more sense The pool of money that's sitting in cash worldwide has never been greater.

Another indicator that goes further than the P / E ratio is the enterprise value of the company.

Third, academic research has found that valuation metrics, such as the earnings yield (E / P) or the CAPE 10 earnings yield, and valuation spreads have predictive value in terms of future returns.

This again is why it is crucial that you do not rely on P / E ratios as accurate measures of value here.

It's true - if you run that research from 1965 to the present, the «predicted» value of the S&P 500 P / E, based on current inflation and interest rates, is indeed about 22.

However, the vast majority of evidence suggests that P / E ratios are an unreliable way to measure the true value of stocks.

General Electric (GE)- With a P / E of 17.3 I think GE is trading at fair value and I'd like to add more to position in the stock.