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Logtime: Logarithmic Time Perception With Aging

We will time how long it takes for the weight to travel through the air and return to the starting point.

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Efficient Market Hypothesis - Morningstar

To explain how Atlantis was moved from the Mediterranean to the Atlantic, (1969) argues that when Solon spoke with the Egyptians they told him Atlantis lay in the "far west", but he moved it to reflect the geographical knowledge of the Greeks of his own time period (the original geography instead reflected "the Egyptians of the Bronze Age, and their geographical horizons were exceedingly limited", i.e. the furthest west being Crete). In the late 1960s, Mavor had spoken to Marinatos who confirmed he still supported the Minoan hypothesis, although he didn't agree with Galanopoulos' and Mavor's identification of Santorini (Thera) with the metropolis of Atlantis:

(How: FIFO or selective?) Perhaps a finite memory wouldprovide a limit to the Logtime shrinkage.

This has the effect of increasing the value of the F-statistic due to the reduction of the denominator and leading to an increase in the power of the test to detect significant differences between means (this is discussed in more detail later). Mathematically, and as illustrated above, we partition the variability attributable to the differences between groups (SSconditions) and variability within groups (SSw) exactly as we do in a between-subjects (independent) ANOVA. However, with a repeated measures ANOVA, as we are using the same subjects in each group, we can remove the variability due to the individual differences between subjects, referred to as SSsubjects, from the within-groups variability (SSw). How is this achieved? Quite simply, we treat each subject as a block. That is, each subject becomes a level of a factor called subjects. We then calculate this variability as we do with any between-subjects factor. The ability to subtract SSsubjects will leave us with a smaller SSerror term, as highlighted below:

Aquatic ape hypothesis - Wikipedia

In a near infamous retail big data example, retailer Target correlated its baby-shower registry with its Guest ID program in order to determine when a shopper is likely pregnant. Target's Guest ID is a unique consumer ID that tracks purchase history, credit card use, survey responses, customer support incidents, email click-throughs, web site visits and more. The company supplements the consumer activities it tracks by purchasing demographic data such as age, ethnicity, education, marital status, number of children, estimated income, job history and life events such as when you last moved or if you have been divorced or ever declared bankruptcy.

By comparing shoppers who registered on the baby shower registry with the purchase history from their Guest ID, the retailer discovered changes in shopping habits as the woman progressed through her pregnancy. For example, during the first 20 weeks, pregnant women began purchasing supplements like calcium, magnesium and zinc. In the second trimester, pregnant women began buying larger jeans and larger quantities of hand sanitizers, unscented lotion, fragrance free soap and cotton balls; often extra-big bags of cotton balls. In total, the retailer identified about 25 products purchased by pregnant women.

By applying these purchase behaviors to all shoppers Target was able to identify women who were pregnant even though these women had not notified Target – or often anybody else – they were pregnant. Target used this discovery to create a pregnancy prediction model which assigned a pregnancy prediction score to shoppers. The retailer was then able to distribute baby product promotions to a very specific customer segment, timed to stages of pregnancy, and the financial results were off the charts. Not only did these women make new baby product purchases, but knowing that significant life events change a consumers overall shopping habits, Target was able to grow its revenues from $44 billion in 2002 when the analysis started to $67 billion in 2010. While the retailer does not publicly comment on this program, Target's president, Gregg Steinhafel, is on record sharing with investors that the company's "heightened focus on items and categories that appeal to specific guest segments such as mom and baby" heavily contribute to the retailers success.

Notwithstanding the consumer privacy and public relations considerations which must be deliberated, this is a powerful lesson for retailers.

This picture painted in 1841 by G. Bezzuoli, attempts to reconstruct anexperiment Galileo is alleged to have made during his time as lecturerat Pisa. Off to the left and right are men of ill will: theblasé Prince Giovanni de Medici (Galileo had shown adredging-machine invented by the prince to be unusable) and Galileo'sscientific opponents. These were leading men of the universities; theyare shown here bending over a book of Aristotle, where it is written inblack and white that bodies of unequal weight fall with differentspeeds. Galileo, the tallest figure left of center in the picture, issurrounded by a group of students and followers.

Here are 5 Retail Big Data examples that deliver big paybacks.

Nonetheless maintains beneath these distortions is a kernel of history - an Egyptian folk memory of Minoan Crete. In this sense Atlantis truly existed, but far less splendid than how it was exaggerated over time via retelling (with added imaginative features). Frost predated ' archaeological excavations on Crete in the 1930s, after which it was proposed a volcanic cataclysm destroyed Minoan civilisation on Thera and Crete. Frost (1909) came up with the idea that Minoan civilisation was not destroyed by a natural disaster, but by an invasion of Mycenaeans from the mainland of Greece (Mycenaeans had taken control of the Minoan major city Knossos, c. 1450 BCE), so "when Knossos was sacked, the sudden destruction of the ruler of the seas...concerned the Egyptians". In 1910, the Egyptologist supported the Atlantis-Minoan identification in his book ; at the time he was unaware Frost was the author of the 1909 article because it was printed anonymously (but in a footnote Baikie credits the latter source as the first to identify Minoan Crete with Atlantis).

In this design, within-group variability (SSw) is defined as the error variability (SSerror). Following division by the appropriate degrees of freedom, a mean sum of squares for between-groups (MSb) and within-groups (MSw) is determined and an F-statistic is calculated as the ratio of MSb to MSw (or MSerror), as shown below:

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For our exercise-training example, the null hypothesis (H0) is that mean blood pressure is the same at all time points (pre-, 3 months, and 6 months). The alternative hypothesis is that mean blood pressure is significantly different at one or more time points. A repeated measures ANOVA will not inform you where the differences between groups lie as it is an omnibus statistical test. The same would be true if you were investigating different conditions or treatments rather than time points, as used in this example. If your repeated measures ANOVA is statistically significant, you can run post hoc tests that can highlight exactly where these differences occur. How to run appropriate post-hoc tests for a repeated measures ANOVA in SPSS can be found ().

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However, we tend to adjust to our changing timescale, and our declining physical abilities tends to conceal the natureof the underlying change: since we see ourselves as "slowing down", weaccept that life around us seems to go faster.

The Customer Discovery Handbook - Alex Cowan

In 1909, was the first to identify Atlantis with Minoan Crete (in his own words: "the long lost Atlantis is neither more nor less than Minoan Crete"), but did so anonymously in a newspaper article. Four years later he identified himself as the author in the where he outlined his theory in more detail. In both his articles, Frost takes Plato at face value when he says the story of Atlantis was heard by Solon in Egypt and adapted into an unfinished poem. Although Solon did not finish his epic, he told the story to his relative Dropides, who passed it down orally through his family (whom Plato descended). In other words in Frost's view the Atlantis tale is an authentic tradition that contains a core of history; Plato was a recipient of this story via . Although Plato describes the story having been recorded by the priests, he points out that Solon is not said to have seen a written record despite the Egyptians asserting they will show him at a later time (questionable since this doesn't take place during the story). Plato doesn't either say the Egyptians consulted or read from their sacred documents when speaking with Solon, instead relying from their memory:

Hypothesis in Qualitative Research - ResearchGate

In the 1960's the Minoan hypothesis was developed by the Greek seismologist who put forward a new argument: that the metropolis of Atlantis was Thera while the great plain on Atlantis, Messara on Crete. This idea was supported by and , but rejected by the classicist who like Marinatos and Frost stuck with identifying Atlantis with Crete, not Santorini (Thera). In contrast, the classical scholar (1966) identified Atlantis with Thera, but criticised Galanopoulos, Mavor and even Luce for reading Plato too literally; in Carpenter's opinion there was no metropolis or plain and these were imaginary features added by Plato as embellishments (). In , Carpenter notes the Atlantis story "derived from genuine oral family tradition" (via Solon in Egypt) and Atlantis "was no other than Santorini". However, in his view Plato intentionally re-located Atlantis from the Mediterranean:

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