Cordelia  Klein

Cordelia Klein


Introduction Into Matched Or Paired Samples In Statistics

This Statistics video tutorial provides a basic introduction into matched or paired samples.  It explains how to use the T-test and the student's t-distribution to determine whether or not if you should reject the null hypothesis in favor of the alternative hypothesis.  It also explains how to construct a confidence interval and calculate the margin of error at a specified significance level.

#statistics  #probability #testing 

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Introduction Into Matched Or Paired Samples In Statistics
Cordelia  Klein

Cordelia Klein


Introduction Into Matched Or Paired Samples In Statistics

This Statistics video tutorial provides a basic introduction into matched or paired samples.  It explains how to use the T-test and the student's t-distribution to determine whether or not if you should reject the null hypothesis in favor of the alternative hypothesis.  It also explains how to construct a confidence interval and calculate the margin of error at a specified significance level.

#statistics  #probability #testing 

vinay bajrangi


Why We Need To Match Kundli Before Marriage?

When a date is set for marriage between two individuals, perhaps the first thing that the two families do is go for kundli matching by date of birth. Considered one of the most significant and foremost aspects of an arranged Indian marriage, matching Kundli or horoscopes is necessary before two people decide to get hitched, whether they are having a love or arranged marriage. Since matching kundlis can help you to know about any impending problems that await you on the other side of your marriage, experienced astrologers like Dr. Vinay Bajrangi always advise their clients to match horoscopes before marriage to avoid any major mishaps in the future.
Some of the reasons why astrologers recommend using a horoscope match calculator for marriage are as follows –
Compatibility - Kundli matching is important to ascertain compatibility between two individuals in terms of their mental and physical conditions, including mindset, temper, attitude and behaviour. It is considered the basic premise for a successful union. In order to assess that there is a sufficient amount of mutual desirability between the couple, the horoscopes are also analysed for physical attraction, because that is an important tool for a long-lasting relationship.
Finances/Career - Kundli matching is also a way to know about the future prospects of your spouse like career growth, business progress, promotion, financial stability, etc.
Dashas - Sometimes, the negative impact of Dashas (planetary combinations) can ruin your future as a married couple. There is a chance that a person’s horoscope could have Dashas like the ‘Mangal Dasha’ and ‘Shani Dasha’ right since the time they are born, depending upon the stars and the planets’ positions at that time. Such Dashas can create several problems at a later stage of marriage, about which none of the partners can do anything. The process of Kundli matching can help you overcome the negative impact before taking the step towards the marriage altar.
Health – Kundli matching helps you find out about the health prospects of your children, who would be born later in your life. The 8th guna of your Kundli, Nadi, represents childbirth and potential problems that might arise out of it. Therefore, Kundli matching is significant not just for yourself but also for the future generations to come.
Love Marriage – In case of love marriages, matching kundlis or using a horoscope match calculator for marriage is equally important as it helps the couple take care of any possible negative impacts awaiting them in the future. Matching of horoscopes is a sure-shot way to resolve any impending problems for a married couple.

Astrological Combinations for Healthy Marriage

The compatibility of partners as well as their health and finances are all necessary points that should be taken care of before finalizing a match. Birth charts of the two individuals provide all the answers, provided you consult a highly experienced astrologer for the same. In case of malefic effects of the planets, your married life might feel hindrance, which can be avoided with the help of some specific astrological combinations, as given below –

• Mercury and Venus are the two most significant planets in an individual’s horoscope.
• Manglik Yoga, one of the most malefic yogas, is formed in a person’s birth-chart when Mars is in the 1st, 4th, 7th, 8th or the 12th house. This yoga can be nullified only when two persons with similar yoga get married.
• Saturn and Rahu are two other planets that hold great significance in a person’s kundli with respect to his or her marriage prospects.
• When the moon is in the 2nd house of the Venus, it is considered to be highly inauspicious for the bride’s life span.
• The lifespan of both the groom and the bride is similar when the kundli shows a connection between planets Mercury and Venus.
• A groom’s life is at risk when Mercury aspects planets Sun and Rahu. Same is the case when Venus aspects planets Sun, Moon and Rahu.
• An individual whose kundli shows Jupiter aspected by Venus or Rahu aspected by Sun and Moon can expect more than one marriage in their life.

Marriage is a holy union guided by planets and houses in your birth-chart, as well as by a multitude of astrological combinations. Talk to an ace astrologer like Dr. Vinay Bajrangi to know more about kundali matching and its various aspects. What you must understand is that avoiding kundli matching before love or arranged union could keep you unaware of the vagaries of married life, if any. An individual’s nature as well as future is predicted through their kundli and it helps to seek help from a knowledgeable astrologer before making final decision about marriage. Meanwhile, if you want to have your doubts and queries addressed as per the Vedic Astrology, you can connect with Dr. Bajrangi on or on phone - +91 9278665588 / 9278555588.

#kundli matching by date of birth #horoscope match calculator for marriage #free kundli matching #horoscope matching for marriage #free horoscope matching by name

How is Sample Size Related to Standard Error, Power, Confidence Level, and Effect Size?

When conducting statistical analysis, especially during experimental design, one practical issue that one cannot avoid is to determine the sample size for the experiment. For example, when designing the layout of a web page, we want to know whether increasing the size of the click button will increase the click-through probability. In this case, AB testing is an experimental method that is commonly used to solve this problem.

Moving to the details of this experiment, you will first decide how many users I will need to assign to the experiment group, and how many we need for the control group. The sample size is closely related to four variables, standard error of the sample, statistical power, confidence level, and the effect size of this experiment.

In this article, we will demonstrate their relationships with the sample size by graphs. Specifically, we will discuss different scenarios with one-tail hypothesis testing.

Standard Error and Sample Size

The standard error of a statistic corresponds with the standard deviation of a parameter. Since it is nearly impossible to know the population distribution in most cases, we can estimate the standard deviation of a parameter by calculating the standard error of a sampling distribution. The standard error measures the dispersion of the distribution. As the sample size gets larger, the dispersion gets smaller, and the mean of the distribution is closer to the population mean (Central Limit Theory). Thus, the sample size is negatively correlated with the standard error of a sample. The graph below shows how distributions shape differently with different sample sizes

#statistics #statistical-power #statistical-analysis #data-science #sample-size

What is MATCH (MATCH) | What is MATCH token | MATCH (MATCH) ICO

What is MATCH Token?

MATCH token is a utility token for the De-Fi and Decentralized Bet (De-Bet) platforms. MATCH token is developed by a group of people who want to share the equal great opportunity to the holders through a decentralized network. MATCH token leverages the decentralized (blockchain) network because it offers more greatness compared to a centralized network. They believe as a token, it can be nurtured to become a priceless token to the holders while at the same time to be used on an application that provides secure and transparent transactions on top of a smart contract designed to get all involved persons to have the same opportunities to grow their accounts actively and passively on an ecosystem

Where MATCH token is deployed and why?

MATCH token is running on top of the TRON network which is one of the largest blockchain-based operating systems in the world. The token leverages the TRON network because it offers high-throughout, high-availability, and high-scalability. Supported by 1,332 nodes across the globe, TRON can support MATCH tokens in rendering a swift transaction time with the lowest fees compared to other smart contract networks, whereas pace is one of the nowadays application requirements. TRON TPS has exceeded the TPS of Bitcoin and Ethereum, which is one of our main reasons for selecting TRON as our main blockchain network.

Can MATCH token’s value steady and tend to be increased?

MATCH token team’s vision is to grow the token’s value by using it actively and passively in an ecosystem. Thus, the value of the token can be maintained and tend to be increased over time. This vision can be gained through De-Fi and Decentralized Bet (De-Bet) platforms.

How does the MATCH token apply De-Fi in the ecosystem?

The other proven way that can be used to grow the holders’ account passively is through a liquidity stake as part of Decentralized Finance running on top of blockchain systems to apply the Automatic Market Makers (AMM) principle. The token holders can become Liquidity Providers that could earn Swap Fee and MATCH tokens through mining based on existing APY (Annual Percentage Yield). As a Liquidity Provider, you are eligible to earn a portion of fees from the Liquidity Pool as much as 0.3% from each swap activity performed in the platform with respect to pool shares. By staking your token in the Liquidity Pool, you can be eligible to yield a MATCH token based on the current APY. The transparent calculation is performed in the background systematically without any human interference and purely mathematical logarithm and financial investment fusion.

What is Decentralized Bet (De-Bet)?

MATCH token is a token that can only be used actively on a decentralized application (DApp) named De-Bet which is a transparent and trusted sports betting. Moreover, De-Bet is the first decentralized betting for sports in the TRON network. De-Bet focuses on User Experience and the Smart Contract technology that can help Makers and Takers to play their own roles without any human’s interference, in order to get another uplifted level of amusement in the betting arena with the benefit of Blockchain technology. De-Bet will be delivered in two phases: (1) Decentralized Betting Smart Contract and (2) Decentralized Betting for other Providers in Smart Contract. For detailed information on improvement and process flow can be found in our whitepaper (link).

How can I participate in MATCH token development?

MATCH token team will initiate ICO (Initial Currency Offering) through Private Sale and Pre-Sale events.

When is the MATCH Token Private Sale started?

The Private Sale will be opened on 6-13 Dec 2020 for limited investors. Throughout this Private Sales, we expect to gain 1,250,000 MATCH tokens with 5 TRX for each MATCH token. Be the first holder of MATCH Token! By joining this private sale you will have the opportunity to get MATCH tokens at 50% of the market price.

  • Private Sale price: 5 TRX
  • Minimum contribution: 500 TRX
  • Normal price: 10 TRXQ



When is the MATCH Token Pre-Sale started?

There will be a Pre-Sale on 20 - 27 December 2020 which will be opened to the public for enthusiastic investors. From this Pre-Sale, we expect to acquire 5,000,000 MATCH tokens with 6 TRX for each MATCH token. By joining this pre-sale you will have the opportunity to get MATCH tokens at 60% of the market price.

  • Private Sale price: 6 TRX
  • Minimum contribution: 500 TRX
  • Normal price: 10 TRX

How do I get MATCH tokens during the Sale event?

It is very simple. What you need to do is have TRX in your wallet and you can just click the “Buy MATCH token" link on our site.

Can you recommend a digital wallet?

Most people are using the TRON Link wallet. Disclaimer: The MATCH team does not endorse, recommend, or make any representations with respect to digital wallets. It’s advisable to always conduct your own due diligence before trusting any third party or third-party technology.

How can I get a MATCH token after the Sale event?

You will be able to trade MATCH once MATCH listed in which we aim to be listed in January 2021. Disclaimer: Please note that the MATCH team does not endorse, recommend, or make any representations with respect to Internet lists or exchanges more generally. Every exchange has a different process for trading MATCH tokens and their customer support and policies and practices may vary widely. It’s advisable to conduct your own due diligence before trusting any third party or third-party technology.

Can I get an airdrop from MATCH Token?

MATCH will announce the airdrop the very first time we launch our product, and the airdrop itself will be dropped in Q1 2021. Make sure you will not miss this opportunity, follow our community channel to keep yourself updated

Instagram :

ICO DATE: Dec 6, 2020 - Dec 27, 2020

Private Sale: Dec 6 — Dec 13, 2020

Private Sale price: 5 TRX (50% Discount from the public sale price)

Pre-Sale: Dec 20 — Dec 27, 2020

Private Sale price: 6 TRX (40% Discount from the public sale price)

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#blockchain #crypto #match #match token

Factors That Can Contribute to the Faulty Statistical Inference

Hypothesis testing is a procedure where researchers make a precise statement based on their findings or data. Then, they collect evidence to falsify that precise statement or claim. This precise statement or claim is called the null hypothesis. If the evidence is strong to falsify the null hypothesis, we can reject the null hypothesis and adapt the alternative hypothesis. This is the basic idea of hypothesis testing.

Error Types in Statistical Testing

There are two distinct types of errors that can occur in formal hypothesis testing. They are:

Type I: Type I error occurs when the null hypothesis is true but the hypothesis testing results show the evidence to reject it. This is called a false positive.

Type II: Type II error occurs when the null hypothesis is not true but it is not rejected in hypothesis testing.

Most hypothesis testing procedure performs well controlling type I error (at 5%) in ideal conditions. That may give a false idea that there is only a 5% probability that the reported findings are wrong. But it’s not that simple. The probability can be much higher than 5%.

Normality of the Data

The normality of the data is an issue that can break down a statistical test. If the dataset is small, the normality of the data is very important for some statistical processes such as confidence interval or p-test. But if the data is large enough, normality does not have a significant impact.


If the variables in the dataset are correlated with each other, that may result in poor statistical inference. Look at this picture below:

Image for post

In this graph, two variables seem to have a strong correlation. Or, if a series of data is observed as a sequence, that means values are correlated with its neighbors, and there may have some clustering or autocorrelation in the data. This kind of behavior in the dataset can adversely impact the statistical tests.

Correlation and Causation

This is especially important when interpreting the result of a statistical test. “Correlation does not mean causation”. Here is an example. Suppose, you have study data that shows, more people who do not have college education believe that women should get paid less than men in the workplace. You may have conducted a good hypothesis testing and prove that. But care must be taken on what conclusion is drawn from this. Probably, there is a correlation between college education and the belief that ‘women should get paid less’. But it is not fair to say that not having a college degree is the cause of such belief. This is a correlation but not a direct cause ad effect relationship.

A more clear example can be provided from medical data. Studies showed that people with fewer cavities are less likely to get heart disease. You may have enough data to statistically prove that but you actually cannot say that the dental cavity causes heart disease. There is no medical theory like that.

#statistical-analysis #statistics #statistical-inference #math #data analysis