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Q: What is An area of statistics which comprises those methods concerned with the analysis of subset of data leading to predictions or inferences about the entire set of data.?
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What is the advantage of inferential statistic?

Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized.


What is the main purpose of descriptive statistics?

Descriptive statistics is the branch of statistics concerned with the collection, organization, summation and presentation of data.


What is the branch of math concerned with collection interpretation of data?

STATISTICS


What is relation between accounting and statistics?

relation between accounting and statistics is:it helps in the rational [true} decision making. statistics is concerned with typical value, behaviour or trend over a period of time of series of observations. statistics are useful in developing accounting data and their interpretation


In Hockey what is the difference between a point and a goal?

As far as team statistics are concerned, points are awarded for winning or losing a game in overtime whereas goals are the number of times the puck went into the net. As far as a player's statistics are concerned, points are the sum of the number of goals the player scored and the number of assists the player was awarded.


What is a statition?

"Statition" appears to be a misspelling of "statistician," which is "a person or profession concerned with statistics or the collection and/or study of numerical parametric characterizing sets or populations."


What is difference between statistic and statistics?

The score of each individual or a single data is called STATISTIC. As a result, STATISTICS is the act of creating, comparing, interpreting, and analyzing data. Because the population is nearly impossible to reach, statistics is concerned with the sample rather than the population.


When we are concerned with whether we are correct in inferring that a cause produced an effect we are concerned with what?

When we are concerned with whether we are correct in inferring that a cause produced an effect, we are concerned with causality. Causality is the relationship between cause and effect, where one event (the cause) leads to another event (the effect). To establish causality, we often rely on evidence, logic, and experimentation to make valid inferences about the relationship between the cause and the effect.


Do cows live in Tennessee?

Yes they do. Tennessee, in fact, has a population of 1,730,000 cattle as far as 2015 statistics are concerned. Ninety-eight percent (98%) of these are beef cattle.


Which department is concerned with the efficient use of your national resources in order to create a more productive economy?

The department that is concerned with the efficient use of your national resources in order to create a more productive economy is the Bureau of Economic Analysis. This provides economic statistics including the GDP.


What is statistics about?

Statistics If Data Science is like a language, statistics is the grammar. In a nutshell, data science is statistics. Statistics is the process of studying and interpreting huge data sets. Statistics are as important and worthwhile to us as air whenever it comes to data processing and so also gathering insights. You're an analyst, not a data scientist, if you're implementing an ML model or regression, or creating trials. We can use statistics to decipher the hidden details in massive datasets. Everything is based on statistics, so let's look at how to better comprehend statistics in data science. Learn more about Statistics and its role in data science at Learnbay.co institute.


Why are statistics always concerned with mass phenomenon and never a single observation?

Statistics deals with determination of enough data points to be able to predict future outcomes. A single observation is not enough to establish reality or predict the future outcome. If you flip a coin and it lands heads, is it enough to say that every time you flip a coin it will be heads? Of course not!