Examples of using Random sample in English and their translations into Korean
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Programming
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Computer
Simple random sample.
This is a wide range of computational algorithms that rely on repeated random samples.
Simple random sample.
This font was posted on 06 May 2015 and is called"Intellecta Monograms Random Samples" font.
Simple random sample.
We may use various types of online surveys to collect opinions and feedback from a random sample of visitors.
Simple random sample.
You can easily split your data into different sets for different purposes using the validation column utility(either with a purely random sample or stratified random). .
Simple random sample.
In order to build and train such a model, Blumenstock and research assistants from Kigali Institute of Science and Technology called a random sample of about a thousand customers.
A random sample from CIFAR-10 image set.
For example, the recorded conversations are not a random sample of all possible conversations.
The study's random sample consisted of 229 individuals who ranged from 50 to 68 years of age at the start of the study.
For example, the recorded conversations are not a random sample of all possible conversations.
If we took a random sample of a million people who majored in math, the subset who are portrait artists might be relatively small.
The histogram shows that, when using normpdf, the resulting random sample has a standard normal distribution.
The study's general population random sample consisted of 229 individuals ranging in age from 50 to 68 at the start of the study.
Create a data set that has the same size as the hospital data set and contains random samples chosen with replacement from the hospital data set.
Every month a random sample of 20 modules are tested by Hanwha Q CELLS Testing of OSC(optical sorting criteria).
Assuming this proportion to be accurate, find the probability that a random sample of 700 documents will contain at least 30 with some sort of error.
From 6000 random samples, and allowing for naturally occurring mutations, he established seven different clusters of DNA.
Clearly, these countries are neither a random sample nor representative for the human population.
The lack of random samples, inability to do deep sentiment analyses(i.e. go beyond what people think about specific topics) and deciphering the intricacies of hundreds of native dialects are some of the challenges researchers are working to overcome.
The Finrisk and Findiet studies took a random sample of Finns across the entire country aged 25-74.
I generated two random samples of 5,000 accounts that mentioned either Corbyn's or May's Twitter account between May 25 and June 5.* Then I pulled the timeline of each account using Twitter's Timeline API and calculated its average daily tweet frequency.
Finally, in Emotional Contagion,the participants who bore the burden of the research were a random sample from the population most likely to benefit from the results(namely, Facebook users).
I generated two random samples of 5,000 accounts that mentioned either Corbyn's or May's Twitter account between May 25 and June 5.
A power value of 0.9039 means that if you go out and repeat the same experiment many times(taking a new random sample each time), about 90.39% of the time you will end up correctly rejecting the null hypothesis.
Several years ago, we did a one-percent random sample of research, and it gave us 750 people out of 50,000, I can't remember the exact number, and we were able to print that in a professional journal as characterizing the whole group.
For example, a marketing analyst wants to determine whether mailed advertisements that were sent to a random sample of households result in a response rate that is different from the national average of 6.5%(target value).