Statistics is a branch of mathematics that can be applied to quantitative data which can help to determine the conclusion about the characteristics of a large population. It is mostly used in the sectors of social sciences, business, studies, research, etc. People are asking for statistics assignment help online from all over the world.
Today we are living in a world where information is used with large size of data. The concepts of statistics can be applied in our daily life for any purposes like- calculating money to spend, time, etc. Students are also using statistics in their research, projects, and homework. Nowadays they are asking for statistics homework help to complete their projects.
What is the meaning of statistics?
Statistics is a mathematical process that is used to manipulate, organize, analyze and interpret results from numerical data. It is important to know the concepts of statistics and the use of data. Statistics can also be used in forecasting any data and predicting future values of any data. These all are can be done by using a sample that represents a population of data. The conclusions made by the statistical analysis are accurate and also can be represented visually through charts, diagrams, tables, etc.
Sometimes students are facing problems regarding statistical analysis and they are asked how to do their statistics homework through the internet. So here are some most important definitions that must know by the students before working with statistics for analysis.
Important definitions on Statistics
Sample: A subset of data that is selected in several ways from a population of data.
Population: a set of data that is used with common characteristics and the samples are drawn from the set for analysis statistically.
Parameter: These are the data that are summarized for a population and describes the population.
Variables: These are the data that are summarized for a sample and describes the sample.
Types of Statistics
There are two kinds of statistics. Those are- descriptive statistics, inferential statistics.
Descriptive statistics:
The statistics are used to summarize a data set with a description of the coefficients.
Descriptive statistics are of four types based on the data properties; those are –
- Measures of frequency: this measures the occurrence or how often an event occurs. the measures are- count, percentages, frequency, etc.
- Measures of central tendency: this measures the distribution of a variable. the measures include- mean, median, mode.
- Measures of dispersion: this measures the spread of the data or a variable that can affect the average value of the data. the measures include- range, standard deviation, variance.
- Measures of position: these measures are used to compare a value to a normalized value or relation between the standardized value. the measures are- quartile ranks, percentile ranks.
The quantitative data can be analyzed through descriptive statistics where we can only describe the data. if we want to get conclusions from the analysis of data then we have to include inferential statistics.
Inferential statistics:
These statistics include the comparison between groups, comparison across times, predictions of the future values of data rather than the only description of the data. there are different types of inferential statistics such as-
t-test: this is a statistical test used to compare means of data. there are several ways to compare the means like-
- one-sample t-test
- dependent sample t-test
- independent sample t-test
- paired t-test
ANOVA: this is a statistical test used to compare multiple means of data. there are several ways to compare means like-
- one way ANOVA
- two-way ANOVA
- within groups ANOVA
- between groups ANOVA
- factorial ANOVA
Regression: it is a statistical method that is used to predict the values of variables and also the relation between variables. there are several kinds of regression like-
- Linear Regression
- Non-Linear Regression
- Logistic Regression
- Logit Regression
- Probit Regression
- Log-Linear Regression Etc.
chi-square test: this is a statistical test used to see the relation between the variables which are qualitative in nature.
F- test: this is the test used to signify the overall means of data.
Also to infer the results with the help of inferential statistics there must be a need to include some hypotheses statements. these statements are stated in two ways- null hypothesis and alternative hypothesis. the null hypothesis depicts no relation or no differences exist between the values of data or variables and the alternative hypothesis depicts the opposite.
The steps to use the inferential statistics are as follows:
- propose a theory
- identify the population data
- create the hypotheses
- organize the variables
- create a sample from the population
- conduct statistical tests based on the objective of the analysis
There are lots of limitations also to using statistics for analyzing purposes. As we can say that the qualitative characteristics are ignored while calculating with statistical methods. There is no way to calculate any individual facts rather it is included in the aggregate facts. This method can explain what is happening by using the data but cannot depict the cause of happenings.
There are lots of detailed concepts that must be known when one is analyzing statistically. Most of the students face problems while they are working with different kinds of data and want to get solve the problems with the help of statistics. Students are also asked about statistics assignment help UK online.
There are lots of statistical experts available online who are helping students and businesses as well for the statistical analysis of their data according to their objectives. Also, people can get advanced statistics assignment help from expert writers who can help them with analyzing with advanced statistical methods.
There are various websites that are providing help for statistical analysis and UR assignment is also famous for providing online statistics assignment help. They have lots of experts from different regions of the UK who have in-depth knowledge of statistics and solve the problems in an effect which is a very understandable way and easy to understand by the students as well as any individual who are beginners and want to work with statistics. From the experts of UR assignment, students can also get Numerical Analysis Homework Help and ANOVA Assignment Help Online.
