Type 1 And Type 2 Error With Examples : Complete Clarity In 10 Min.

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Clear explanations, perfect examples

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[@GarimaSingh-pm2fy]

Great explaination 👍

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Thank you so much for your valuable comments and appreciation! 🙏☺️

[@sheznaz9905]

Very informative..😅thanku But I need both one one example with questions answers plzz help me tomorrow is my presentation 😢

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[@amitkeskar2566]

#deeplearner #Successfulcareerhub Type 1 and Type 2 Errors with Example: Decision Error: ▪︎No Hypothesis is 100% certain. Because the test is based on probabilities, there is always a chance of making an incorrect conclusion. ▪︎ When you do a Hypothesis test, two types of errors are possible; Type I and type II. ▪︎ The risks of these two errors are inversely related and determined by the level of significance and the power of the test, respectively. ■ Type I Error ( Producer's Risk) 1. A type I error occurs When the researcher rejects a null Hypothesis When it is true. 2. The significance level is the probabilities of committing type I error. 3. This probability is also called alpha and is denoted by @. 4. An alpha of 0.05 indicates that you are willing to accept a 5% chance that you are wrong When you rejects a null Hypothesis. 5. You lower this risk, you must use a lower value of @ ■ Type II Error ( Consumer's Risk) 1. Type II Error occurs When the null Hypothesis is farse and you fall to reject it. 2. The probability if making a type II error is Beta, which depends of the power of test. 3. You can decrease your Risk of committing a type II error by ensuring your test has enough power. 4. You can do this by ensuring your sample size is large enough to detect a practical difference When one truely exists. ■ Power of Test: 1. The probability of rejecting the null Hypothesis correctly is equal to 1-B. This value is the Power of the test. 2. The probability of non committing a Type II error is called the Power of the test. 3. 100 × (1-B) is called the the "Power of test". 4. Thus, if B=0.1, power is 100×(1-0.1) or 90%. ■ Hypothesis in Court: 1. A person comes into court charged with a crime. 2. A Jury must decide whether the person is innocent, (Null Hypothesis) or guilty ( Alternate Hypothesis) 3. Even though the person is charged with the crime, at the beginning of the trial ( and until the Jury declares other wise), the accused is Assumed to be innocent. 4. Only if overwhelming evidence of the persons guilt can be shown is the Jury expected to declare the person guilty otherwise the person is considered innocent .

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That's a great summary. Thank you Amit for your valuable comments 🙏😊