Sentences with phrase «about p values»

So the next debate should not be about P values — it should be about what to replace them with.

Read the full piece for more about the P value's history and the changes that may be in store.

Not exact matches

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.

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.

A forward P / E ratio of 16.5 times earnings isn't anything to write home about, even if the stock trades on a forward free cash flow - to - enterprise value (market cap plus net debt) yield of 5.2 %.

Grainger's 10 - year average P / E ratio has been 19.0 (see the dark blue box in the right panel), meaning that the market has tended to value it about 27 % higher than the historic valuation of all the companies at 15.0.

It seems to me that the church has been simply supine before the mores of Western culture, according to which it is indecent to talk about death in polite society P «Theological Perspectives on Aging,» Human Values Institute Conference, May 12 - 14, 1986; published in Second Opinion: A Journal of Health, Faith, and Ethics, November 1986].

STATISTICAL SUGGESTION As a biostatistician, I concur with Charles Seife's critical comments about the abuses of the so - called p - value as a measure of statistical significance of data in «The Mind - Reading Salmon» [Advances].

In any case, changing one arbitrary standard to another would do nothing about the widespread misinterpretation and misuse of P values, or change the fact that a statistically significant P value can be calculated for an effect that is insignificant in practical terms.

In other words, the P value is a statement about the data, not the hypothesis.

Sadly, though, he and the other candidates might actually understand P values just about as well as many practicing scientists — which is to say, not very well at all.

In February, a similar study of PRO 2000 that only involved about one - third as many women found 30 % fewer HIV infections in the treated group, but with a p - value of 0.10 — a positive trend that did not reach statistical significance.

I was surprised to read an article on the evolution of human values that didn't have anything at all to say about race, gender or birth control (18 April, p 28).

Instead of simply displaying a final P value — the odds of getting a significant result by chance if the experiment were repeated many times — the output includes intermediate results and offers cautions about possible misinterpretations.

What is highly problematic about these claims is that the three correlated implementation strategies noted, again as significantly associated with teachers» students» test - based performance on the PARCC and SBAC mathematics assessments, were «statistically significant» (determined by standard p or «probability» values under which findings that may have happened due to chance are numerically specified).

As per the American Statistical Association's (ASA) recently released «Statement on P - Values,» statistical significance «is not equivalent to scientific, human, or economic significance... Any effect, no matter how tiny, can produce a small p - value [i.e., «statistical significance»] if the sample size or measurement precision is high enough» (p. 10); hence, one must always check for practical significance when making claims about statistical significance, like Kane et al. actually do here, but do here in a similar inflated veinP - Values,» statistical significance «is not equivalent to scientific, human, or economic significance... Any effect, no matter how tiny, can produce a small p - value [i.e., «statistical significance»] if the sample size or measurement precision is high enough» (p. 10); hence, one must always check for practical significance when making claims about statistical significance, like Kane et al. actually do here, but do here in a similar inflated veinp - value [i.e., «statistical significance»] if the sample size or measurement precision is high enough» (p. 10); hence, one must always check for practical significance when making claims about statistical significance, like Kane et al. actually do here, but do here in a similar inflated veinp. 10); hence, one must always check for practical significance when making claims about statistical significance, like Kane et al. actually do here, but do here in a similar inflated vein.

Joseph South comments about teachers not necessarily knowing what an R score means or what a p - value means.

With a price tag this high, buying the P» 9981 isn't about features or specs or how it stacks up in value against other devices on the market.

If you started with a $ 500,000 portfolio of low - P / B value stocks in the summer of 2007, by the spring of 2009 you would have been left with about $ 170,000.

And using P / E won't tell you anything about the value of a stock.

Morningstar sees it as undervalued, FASTGraphs sees it as overvalued, and simply comparing PG's current P / E to its normal P / E suggests that it is about fairly valued.

But FASTGraphs also shows us that PG's normal P / E ratio is 19.9, and a fair value line drawn with that P / E ratio suggests that PG is about fairly valued.

Posted in About, Austrian Economics, Value Investment, tagged Benjamin Graham, Graham P / E10 on April 9, 2010 10 Comments»

You write about very low P / E investing, it's interesting because many value investors will avoid the lowest P / E stocks.

I don't care about next years or the year after earnings, I care about the next 20 years since a stock's value reflects the long - run (or should) Taking a more normalized forward eps suggests the P / E is much lower.

You will like to educate yourself about some vital terms such as share price, dividend yield, price yield, earning per share (EPS), Price Earnings Ratio (P / E), Price to Book Value, Bullish and Bearish markets etc..

Value Line's «Relative P / E» for JNJ is 1.02 (red circled area in clip below), meaning the company's P / E ratio is right about at the average of the 1,700 stocks VL analyzes.

While low P / E stocks, also known as value stocks, tend, on average over the long run, to outperform, my research shows that about 39 % of all low P / E stocks have a negative return for the 12 months following their selection.

Posted in About, Stocks, Value Investment, tagged BM, High Minus Low, HML, P / B, Price - to - book Value on December 11, 2009 2 Comments»

«If one hypothesized that momentum has similar predictive power around the world, equal to the historical average of value and momentum over each of our four regions, then the ex post «failure» of Japanese momentum is not at all statistically impressive (a p - value of about 26 %).

Posted in About, Stocks, Value Investment Tagged BM, High Minus Low, HML, P / B, Price - to - book Value 2 Comments

The first two components (explaining about 80 % of P / B variation) represent «perennial value»; that is, cheap stocks that remain cheap.

To bring this back to my usual 15 % limit, we'd need to see a debt haircut of about 75 M — we'll add this as a negative debt adjustment to my P / S multiple, so my fair value's now:

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(Ken Fisher's The Only Three Questions That Count includes a lengthy discussion about why P / E ratios don't always have predictive value.)

If the finding that stocks were priced at three times fair value in 2000 were an illusion, the P / E10 level (Shiller's valuation metric) would tell us nothing about where stock prices would be in 10 years or in 20 years.

Learn about P / E ratios, price - to - book - value ratios, price - cash flow ratios, debt - to - equity ratios, plus other steps to strong investment portfolio analysis.

This factor is closely tied with P / BV, which is why this metric can be used as a screening criteria (If you wish to read more about reproduction value, you can stop by my review of Value Investing: From Graham to Buffett and Beyvalue, you can stop by my review of Value Investing: From Graham to Buffett and BeyValue Investing: From Graham to Buffett and Beyond).

Maybe this is why there is such a bad vibe between PS users and 360 users... They know that Mircosoft makes much more valued hardware games than Sony, but feel so foolish about likeing it.

It's new role as a good companion to PS4 will further extend its value & still carries on the original vision of playing console class games via a portable device, and I like the image of the woman using her Vita with PS now at the office, bringing to mind the idea that I could literally have top notch games accessible to me in a variety of places and don't have to worry about carrying around a ton of extra stuff.

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

I want to clarify that I'm not talking about statistical models of physical processes, but rather the statistical models upon which statistical inference (p - values, confidence intervals) is founded.

The prior distribution p (q) that is used in this calculation is chosen to reflect prior knowledge and uncertainty (either subjective or objective) about plausible parameter values, and in fact, is often simply a wide uniform distribution.

However, as shown in Table 4, for CMIP3 - AO and CMIP3 - AS, the rank histograms of all but one variable for one ensemble are not significantly different from the uniform distribution (Only in SAT of CMIP3 - AS, the p value for bias is about 0.04, significant at the 5 % level).

This may be totally off, since I know squat about climate science & the high - powered statistical programs used, but when there is a dearth of data in the social sciences (not enough to give low enough p values on correlations & regressions, simply due to small numbers of data, which is sometimes due to loading in too many control variables), we sometimes turn to chi - square & log - linear analysis to see if actual data reveal patterns incongruent with expected patterns.

In a one on one with PC Quest, P Sanjeev of Huawei shares the value of Huawei products in the market and tells us about the consumer business group of Huawei.

Inside the box (unboxing the Xiaomi Mi A1): Handset, data cable (USB to USB Type C), travel charger 5V / 2A, user guide, warranty card, and SIM Ejector Pin SAR Value: 1.26 W / kg @ 1g head and 0.17 W / kg @ 1g body (15 mm distance) Body: Build and finishing is very good, weight is 163 gram, easy to use and hold, comfortable, metal body with curvy design SIM Type: Nano SIM + Nano SIM / Micro SD card (Hybrid slot), 4G VoLTE supported Weight and Dimensions: 163 grams, 7.3 mm thick Screen: 5.5 inches, 1920 x 1080 pixels resolution, viewing angles, touch response and color reproduction are very good, 2.5 D curved glass and corning gorilla glass protected for added protection Connectivity: 4G, VoLTE (work on both SIM), WiFi, GPS, IR Blaster and Bluetooth Sensors: Accelerometer, Proximity, light and magnetic, Gyro, hall and Step counter LED Notification: Yes, single color OTG: Yes supported RAM: 4 GB (about 2.8 GB free on first boot) ROM: 64 GB (about 52 GB free on first boot) Micro SD: Yes 128 GB MAX OS: Android Nougat 7.1.2, will get Android Oreo and Android P updates, this is pure android and not running MIUI

To leverage my experience in transforming and leading 8 global PS teams in different industries (telecom, networking, storage, security, IT consulting, construction) and platforms (On - prem, SaaS): I am passionate about continuous innovating and improving service offerings value to delight customers and increase product adoption.

This difference is certainly statistically significant, but the p value tells us nothing about its clinical importance.

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