There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
There are many advantages and disadvantages of variance in statistics. One disadvantage is that you never know what answer you'll get.
The advantages of using weighted averages are that it smooths out fluctuations due to statistical outliers. The disadvantage is that this gives a uniformity in the statistics and can make it difficult to project trends.
Descriptive statistics are very useful for showing and summarizing data when any complex models are nit needed. However, it does not explain the relationship between two or more pieces of data and it does not leave any room to explain randomness in the data.
There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
no
One advantage of inferential statistics is that large predictions can be made from small data sets. However, if the sample is not representative of the population then the predictions will be incorrect.
Please someone answer this
There are many advantages and disadvantages of variance in statistics. One disadvantage is that you never know what answer you'll get.
There are so many advantages of statistics in business. They will help in planning and making critical decisions that are related to the business.
Official statistics are more likely to be correct and upto date, however because it is government controlled they maybe bias or not showwing the simple data.
If we're talking about statistics: There is no superior observational study, each study has its advantages and disadvantages.
The advantages of using weighted averages are that it smooths out fluctuations due to statistical outliers. The disadvantage is that this gives a uniformity in the statistics and can make it difficult to project trends.
They give estimates of unknown parameters which can then be used to make predictions based on distributions which are better known.
Descriptive statistics are very useful for showing and summarizing data when any complex models are nit needed. However, it does not explain the relationship between two or more pieces of data and it does not leave any room to explain randomness in the data.
Statistics are pointing to an expected increase in email advertising due to its success rate being roughly 10% higher than website sidebars in the years 2002-2007. The economy has currently suppressed sucess rates, so exact benefit statistics are hard to locate.