AIOU SOLVED ASSIGNMENT 3 CODE 654 SEMESTER SPRING 2016

TEACHING OF ISLAMIC STUDY CODE 654 ASSIGNMENT 3 SPRING 2016

Aiou solved assignment 3 for your B.Ed course code 654 the Islamic Study is now available at our blog and you can find it in complete solution form. This course 654 has four assignments and this is the third solved assignment which has five questions and we are giving you the solution of all these five questions in detailed form and the questions are as under:-

Q 01:- Islamyat kay mazmoon ki nisaab sazi kin aloom  par mushtamil hoti hai? Samaji aloom, history, politics and economics kay sath Islamyat kay mazmoon kay taaluq ki wizahat karain.

Q 02:- Sanvi level par Islamyat kay nisaab kay liye kon kon say muqasid muqarar kiye gay hain? Ilm riazi, tibeyat aur geograpia, Islamyat kay mutaliya main kaisay moawnat kartay hain, Mufasal tareer karain.

Q 03:- Taleemi zarooryat ko pura karanay main Masjid ki kiya aahmiyat hai? Mazi kay aahum dini madaras darul aloom duband aur nidwa ul ulma lakhnau ki taleemi khidmat par sair hasil baihis karain.

Q 04:-

Q 05:-

Leave the remaining four and five questions find here the solution.

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AIOU SOLVED ASSIGNMENT 2 CODE 1430 AUTUMN 2015

AIOU SOLVED ASSIGNMENT 2 MATH AND STATE

TYPE I AND TYPE-II ERRORS IN HYPOTHESIS TESTING

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 for the test. Therefore, you should determine which error has more severe consequences for your situation before you define their risks.

Type I error:- When the null hypothesis is true and you reject it, you make a type I error. The probability of making a type I error is a, which is the level of significance you set for your hypothesis test. An a of 0.05 chance that you are wrong when you reject the null hypothesis. To lower this risk, you must use a lower value for a (Alpha). However, using a lower value for alpha means that you will be less likely to detect a true difference if one really exists.

Type II Error:- When the null hypothesis is false and you fail to reject it, you make a type II error. The probability of making a type II error is β which depends on the power of the test. You can decrease your risk of committing a type II error by ensuring your test has enough power. You can do this by ensuring your sample size is large enough to detect a practical difference when one truly exists. The probability of rejecting the null hypothesis when it is false is equal to 1- β. This value is the power of the test.

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