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Bergmann Roulette Android latest 1 APK Download and Install. Best Free Bergmann Roulette Jackpot Game. Win Real Cash，Be the Big Boss!!! HAGO - Play With New Friends. With over 100 Million Downloads. Similar to Bergmann Roulette Poker World Mega Billions. Our German Roulette machine is as Original one, it's classical Roulette Gaming machine, German Bergmann Weltron Roulette Machine, bergmann roulette machines, roulette game machine, coin operated roulette machine, it's very popular in many countries. Product Description. Extremly Reliable.

Model

Dimension：48 * 39 * 71cm

Voltage：110V/220V

Play mode：

Single bet (number) prize is 12 multiples, a random chance up to
13~50 multiples.

Extra bonus：

(1).Bonus 1: Extra random 24.36.48.60 multiples bonus

(2).Bonus 2: Extra random 72.84.96.108,120 multiples bonus

(3).Bonus 1 and bonus 2 will be happened randomly.

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1.Coins/bills in, coins/tickets out

2.Extra bonus BONUS1/BONUS2. from 24-120 multiples randomly

3.Acrylic/music customized

4.Counter meter built inside for easy audit

5.Easy to assemble, Knock-down is acceptable

6. 100% MADE IN TAIWAN Fast online casino payout.

Willy wonka gambling machine. 【Play Video】

【Our Advantages】

23 years experienceQuality guarantee

【Certifications】

【Packing & Delivery】

【FAQ】

Q1. Can I have a sample order?
A: Yes, we welcome sample order to test and check quality.

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Q2. What about the lead time?
A:Sample needs 5 ~7 days, mass production time needs 1-2 weeks for order quantity more than

Q3. Do you have any MOQ limit ?
A: Low MOQ, 5~10 pcs for sample checking is available

Q4. How do you ship the goods and how long does it take to arrive?
A: We usually ship by DHL, FedEx or TNT. It usually takes 3-5 days to arrive.
Airline and sea shipping also optional.

Q5. How to payment?
A: We have T / T, Western Union, Paypal and Alibaba online credit card payment

As a bettor are you aware that you can use standard deviation to predict betting outcomes? Find out what the standard deviation is, how to calculate it and apply it to your betting.

In a previous article, we explained why bettors should not solely rely on the average, given its tendency to be influenced by outliers, and its inability to show the dispersion within a set of numbers.

Dispersion can be measured in many ways, one of which is the standard deviation - a quantity expressing by how much the value of a group differ from the mean value for the group. Different metrics are either used directly or are input parameters for a function or distribution.

Poisson vs. Normal Distribution

For example, bettors are known to use a Poisson distribution model to predict the number of goals scored per team in a soccer game. However, this distribution has just one input parameter - the average - and is a discrete distribution - produces outputs as whole numbers.

A Poisson distribution model can estimate directly the likelihood of scoring one goal, rather than the probability of a goal occurring between the 25^th and 30^th minute (although it can be extended to derive these).

Normal distribution - the bell or Gaussian distribution – is also popular. This is a different model to Poisson for a number of reasons but also because it's a continuous distribution, based on two parameters: the average and standard deviation.

Predicting goals spread in the Premier League

As a test case let's look at game goal difference in soccer. The goal difference per match seems to be normally distributed. The goal difference is the number of goals scored by the home team minus the goals scored by the away team, with a zero resulting in a draw.

Lets look at the data from the 2013/14 Premier League season:

Man City recorded the biggest home win - 7-0 against Norwich
Liverpool's 5-0 win at Tottenham was the biggest away victory
The average goal difference was 0.3789 (median & mode = 0)
The standard deviation was 1.9188.

A number of conclusions can be taken from the data. Primarily the most popular goal difference is a draw, and the distribution is close to symmetric, with a favour towards home wins. However, our focus for the article is the standard deviation.

Calculating the Standard Deviation

The normal distribution uses the two parameters (average and standard deviation) to create a standardised curve. In this, around 68% of the distribution lies within one standard deviation away from the mean, and 95% lies within 2 standard deviations.

In this case we expect 68% of games to end up between -1.5399 and 2.2977 goals (i.e. 0.3789 + 1.9188). The continuous nature of the curve does have its limitations: -1.5399 goal difference is not possible.

In order to estimate a home win by a goal difference of 1, 1 can be moved from a discrete (whole) value of 1, to represent the continuous range between 0.5 and 1.5. For each value we can then calculate its difference from the mean in terms of standard deviations.

The great thing about this is that we can now remodel the normal distribution as shown. In this case we’d need to find the area of the region shaded in orange.

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The area shaded in blue, showing the probability of less than 1 goal (or its continuous equivalent being less than 0.5 goals) can be found to be 52.15%.

While it is not the aim to delve deep into the calculation of this, it can be found using most spreadsheet software (in MS Excel: =NORM.DIST(0.5,0.3789, 1.9188,1). Casinos open christmas day. Similarly the probability of under 1.5 goals is 72.05%. Therefore we expect 19.53% between these two values.

Consequently out of 380 matches, we would have estimated 74.22 games ending with the home team winning with just one goal difference. In reality there were 75 games, so this was very close.

By repeating this for all goal differences, we can compare the actual and estimated number of games that ended up with different goal differences.

The table below shows that the discrepancy is minimal and the normal distribution appears to be a good fit - (there are ways to test for normality and this distribution fits nicely for 2013/14 EPL data).

Let's now assume the distribution is correct for the current Premier League season. So as a spread bettor you may want to know what the probability of a home team winning by one or more goals is in the Premier League? This is therefore equivalen