Saj gayi hai milad ki mehfil, kiya hai khoob nazara, Kaif o masti mein dooba hai dekho aalam sara, Dhoond rahi hai, Aap ki rehmat bakhshish ka bahana, Ey Hasnain ke Nana, Ey Hasnain ke Nana, Ey Hasnain ke Nana, Ey Hasnain ke Nana… Beautified are festivities of your birth, What an awe-inspiring sight of mirth!
Reverent ecstasy submerses, The entire heavens and earth Searches, Your mercy searches an excuse to forgive those of worth O grandfather of the Hasnain, O grandfather of the Hasnain O grandfather of the Hasnain, O grandfather of the Hasnain….
What a lovely naat I like this naat sharif very much. This site uses Akismet to reduce spam. Learn how your comment data is processed. Ey Hasnain Ke Nana Lyrics. Abdul rehman November 24, Honey khan December 2, Usman December 2, Aqsa December 23, Sk Wajeed February 8, Masha Allah naat.
Maasha Allah naat. Amjad November 1, Wonderfull naat i am reading in mehfil.
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Ahmed January 23, I need this naat. Leave a Reply Cancel reply. Shah e mardaan, shair e yazdaan, kuwat e parwardigar La fatah illa Ali, la saif ….Contact us - Sitemap. NET - Heritage F. Welcome to F. Guests are not required to login during this beta-testing phase. Title Text Type Author Language. A Project of the Heritage Society. Mowla hi Mowla Kiya Karo. Mowla ke pyar ko hum. Mowla tum bin kaun hamara. Mahabanou Ratansi - Geet and Ghazals - Toronto.
Navroz Mubarak - Lyrics. Nooran ala noor ki dekho yehi to paichan hai. Kamal Taj - Jawab aur Shikwa - Chicago. Payoji maine Mowla ka darshan paayo.
Khursheed - Tarif e Imam. Phoolon ki hai barsaat chalo Mowla ayen hai.
Raziya - Unknown Composer - Toronto. Pukaro naam Ali ka pukaro. Khursheed - Mehfil e Karim. Raas ramva aaavo raas ramva. Shazia - Aawo Raas Ramieyen - Pakistan. Ruh Siya Ham Ruh Siya.Musallay Pe Mainay Ali Ka Qasda Juheen Gungunaaya Sawere Sawere
Saaqi e ba wafa manam, Dam hamma dam Ali Ali. Sona kero suraj ugyo kiran kiran ujas. Suratiya Mowla ki muratiya Mowla ki base more man mein. Khursheed - Tarif-e-Imam - Toronto.Ek bacchi Jo thi moosiye kaazim ke dilka chayn.
Har eid pe karti thi musalle pe jaake bayn. Abke baras eid peaaiye behre khuda. Bibi masooma- e - qum ka tha ye nouha. Qaid bhi aisi jahan aap rukoo me rahe.
Aur yahan mere lab maaile fariyad the - 2. My yahan aap wahan karte hai nouha Gairo ke zanjeer bhi padthi rahe marsiya. Waqt ki zanjeer ne qaid mujhe bhi kiya - 2.
Maine paigaam hawavon se ye bheja Meri tarha raat din karti hai tum par fugha'n. Dono hai zindaan me Aap wahan mai yaha'n- 2. Tooti umeedein meri qalb hua nouha gar. Kohe sitam gir pada dukhtare mazloom par - 2.
Rehgaya phir bhi fazavon me ye nouha Aur ye furqat ka gum aur ye qalbe hazee. Aap nahi aayenge kya mai ye karlu yaqee - 2. Nouha din raat yahi karti hoon baba Ab to chale aaiye aagayi sar par qaza. Zebe musalla hu mai sunlo meri ilteja - 2. Gum ye kisi beti ko ab na dikhaye khuda. Maine sahe hai jo gum jaanta hai dil mera - 2. Bibi masooma - e - qum ka tha ye nouha.
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The mean is a particularly informative measure of the "central tendency" of the variable if it is reported along with its confidence intervals. As mentioned earlier, usually we are interested in statistics (such as the mean) from our sample only to the extent to which they can infer information about the population.
The confidence intervals for the mean give us a range of values around the mean where we expect the "true" (population) mean is located (with a given level of certainty, see also Elementary Concepts). Note that the width of the confidence interval depends on the sample size and on the variation of data values. The larger the sample size, the more reliable its mean.
The larger the variation, the less reliable the mean (see also Elementary Concepts). The calculation of confidence intervals is based on the assumption that the variable is normally distributed in the population. Shape of the Distribution, Normality. An important aspect of the "description" of a variable is the shape of its distribution, which tells you the frequency of values from different ranges of the variable.
Typically, a researcher is interested in how well the distribution can be approximated by the normal distribution (see the animation below for an example of this distribution) (see also Elementary Concepts). Simple descriptive statistics can provide some information relevant to this issue. For example, if the skewness (which measures the deviation of the distribution from symmetry) is clearly different from 0, then that distribution is asymmetrical, while normal distributions are perfectly symmetrical.
More precise information can be obtained by performing one of the tests of normality to determine the probability that the sample came from a normally distributed population of observations (e. However, none of these tests can entirely substitute for a visual examination of the data using a histogram (i. The graph allows you to evaluate the normality of the empirical distribution because it also shows the normal curve superimposed over the histogram. It also allows you to examine various aspects of the distribution qualitatively.
For example, the distribution could be bimodal (have 2 peaks). This might suggest that the sample is not homogeneous but possibly its elements came from two different populations, each more or less normally distributed. In such cases, in order to understand the nature of the variable in question, you should look for a way to quantitatively identify the two sub-samples. To index Purpose (What is Correlation. The measurement scales used should be at least interval scales, but other correlation coefficients are available to handle other types of data.
Correlation coefficients can range from -1. The value of -1. A value of 0. The most widely-used type of correlation coefficient is Pearson r, also called linear or product- moment correlation. Simple Linear Correlation (Pearson r). Pearson correlation (hereafter called correlation), assumes that the two variables are measured on at least interval scales (see Elementary Concepts), and it determines the extent to which values of the two variables are "proportional" to each other.