How to Choose Original Air Jordan Shoes

Air Jordan’s popularity deserves a global thumbs up. Not to mention the price that drains the wallet, people are still hunting for the Air Jordan. Naturally, this is comparable to the quality we get, not to mention the history behind some Air Jordan shoes.

Not only because the price is expensive, but there are several Air Jordans released in limited quantities so that Air Jordans appear with the quality of Perfect Kicks (PK), Unauthorized Authentic (UA), PK God, Perfect Pairs, and other designations to distinguish the quality from imitation products. . Most counterfeit Air Jordan products are manufactured in Asia, especially in China.

Come on, let’s discuss some of the distinctive qualities and details of Air Jordan that need to be checked to find out whether your Air Jordan is a genuine product or a fake:

1. Make sure the product is packed in the right box

On the original Air Jordan, the sticker or label on the box will contain complete information such as the color pattern and the corresponding serial number. Meanwhile, counterfeit products are sold with detailed information that does not match the shoes, but be careful if the shoes are not packaged in a box at all or the box looks weird.

2. Check the sticker on the outside of the box

All Air Jordan boxes are equipped with an official factory sticker on one side. The text on the sticker must match and every word is displayed in the correct spacing and spelling, also check the accuracy of the product name, size, color combination and country of manufacture.

3. Confirm the nine-digit serial number

All Air Jordan products are equipped with a serial number listed on the sticker on the box, usually this serial number has 9 digits, you can check it on the Nike website. Make sure the serial number listed on the box matches the serial number displayed on the website, the serial number is displayed just below the country of origin of the product.

4. Jumpman Logo

The Jumpman logo is found on the lid and side of the box while the Jumpman logo on the shoes is on the back of the shoe (or sometimes on the tongue), the Jumpman logo is the hallmark of Air Jordan, so make sure the Jumpman logo doesn’t look weird or looks tilted on one side especially on the hands, basketball, feet of the character. The color of the jumpman logo on the logo also doesn’t look faded, usually fake products have an unbalanced logo with rough edges and poor stitching.

5. Eyelets on shoelaces

The shoelaces on fake Air Jordans usually look bigger than the holes on the top and the distance of the bottom eyelets is further than the distance between the bottom and the top of the second shoelace, while the original Air Jordans have the same size and eyelet spacing. from bottom to top.

6. Make sure the shoe seller marks it with “100% Authentic”

Do not buy Air Jordan products with the description “custom”, “sample” or “variant” because these statements indicate that Nike does not sell them officially or other information such as “UA”, “PK God”, “KW Super” and other designations. means the shoes are fake.

7. Be wary of Air Jordans selling for under $100

Many Air Jordan shoes are released in limited editions, this is also what makes Air Jordans sell quickly because of the craze of interest among sneakerheads. This means that there is no reason for the seller to put a price below the recommended retail price, if there is an Air Jordan that is sold for under $100, it is very certain that the shoe is a fake because it will likely be difficult for you to find a genuine Air Jordan that is sold for under 1 million rupiah.

House Business People – How To Halt Generating Stupid Faults Like Other Net Network Marketers

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Magnetic Advertising:

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Understand Probability & Expected Value

One fair question to ask about probability distributions is, “What is the center?” The expected value is one of the central measurements of the probability distribution. Since it measures the mean, it is not surprising that this formula is derived from the mean.

To establish a starting point, we must answer the question, “What is the expected value?” Suppose we have a random variable associated with a probability experiment. Suppose we repeat this experiment over and over again. In the long run of several repetitions of the same probability experiment, if we average all our values ​​of the random variable , we will obtain the expected value.

In the following we will see how to use the formula for the expected value. We’ll look at discrete and continuous arrangements and look at the similarities and differences in the formulas.
Formulas for Discrete Random Variables

We start by analyzing the discrete cases. Given a discrete random variable X , suppose it has the values ​​x 1 , x 2 , x 3 ,. . . x n , and their respective probabilities are p 1 , p 2 , p 3 ,. . . p n . This says that the probability mass function for this random variable gives f ( x i ) = p i .

The expected value of X is given by the formula:

E ( X ) = x 1 p 1 + x 2 p 2 + x 3 p 3 +. . . + x n p n .

Using the probability mass function and summation notation allows us to write this formula more succinctly as follows, where the sum is taken from index i :

E ( X ) = x i f ( x i ).

This version of the formula is very helpful to look at as it also works when we have an infinite sample space. This formula can also be easily adapted for the continuous case.
An example

Flip the coin three times and let X be the number of heads. The random variable X is discrete and finite. The only possible values ​​we can have are 0, 1, 2 and 3. This has a probability distribution of 1/8 for X = 0, 3/8 for X = 1, 3/8 for X = 2, 1/8 for X = 3. Use the expected value formula to get:

(1/8) 0 + (3/8) 1 + (3/8) 2 + (1/8) 3 = 12/8 = 1.5

In this example, we see that, in the long run, we will get a total average of 1.5 heads from this experiment. This makes sense to our intuition because half of 3 is 1.5.
Formulas for Continuous Random Variables

We now turn to a continuous random variable, which we will denote by X . We will let the probability density function X be given by the function f ( x ).

The expected value of X is given by the formula:

E ( X ) = xf ( x ) d x.

Here we see that the expected value of our random variable is expressed as an integral.
Application of Expected Value

There are many applications for the expected value of a random variable. This formula makes an attractive appearance in St. Petersburg Paradox.