Best Homework Statistics
Statistics is considered as one of the most complex subjects as is one of that kind of subject which can be associated with other subjects like economics, Math’s, Finance and many more. Statistics is regarded as both Science as well as an organization of data. To describe statistics in an easy language, it is a science of collecting the data and then analyzing and interpreting this numerical data in large quantity so that it can be used for the purpose of decision making.
Students feel homework statistics as one of the most complex work to do and with university rules becoming strict day by day; sometimes it becomes very tough for the student to do their Homework statistics alone by themselves. Question in Statistics are sometimes very tricky and it takes a lot of effort as well as time to solve it. Considering the huge requirement of Statistics homework help and because of complex statistics requirements, Assignment Consultancy has more than 100 experts who provide assignment helps solely on Statistics homework. Our experts are highly qualified and they not only help in solving the statistics assignment but also help them in understanding the concepts in an easy manner. Our experts solve the work with detailed analysis so that student can understand and present in easily in classroom.
Fields in Statistics:
Statistics is used by the scientist in various fields of Research. However it can be classified into following 5 fields. They are as follows:
Areas of Statistics:
Following are the areas of Statistics:
- Data Collection
- Chi-Square Test
- Non Parametric Tests
- Time Series Analysis
- Discrete Distribution
- Bivariate Regression
- Analysis of Variance
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Other Homework Statistics Covered by Assignment Consultancy is as follows:
|Analysis of Variance Homework Statistics Help||Index Numbers Homework Statistics Help||Percentiles and Quartiles Homework Statistics Help||SPSS Homework Statistics Help|
|Bayesian Estimation Homework Statistics Help||kurtosis Statistics Help||Poisson Distributions Statistics Help||Standard Deviation Homework Statistics Help|
|Binomial Distribution Homework Statistics Help||Linear Programming Statistics Help||Program Evaluation & Review Technique Homework Statistics Help||STATA Homework Statistics Help|
|Biostatistics Homework Statistics Help||Markov Analysis Homework Statistics Help||Queueing Theory Statistics Help||Theory of Probability Homework Statistics Help|
|Chi Square Distributions Homework Statistics Help||Mean Homework Statistics Help||R Software Homework Statistics Help||Transportation Problem Homework Statistics Help|
|Coefficient of Variance Homework Statistics Help||Median Homework Statistics Help||Sampling Theory Homework Statistics Help||Tree Diagrams Homework Statistics Help|
|Forecasting Homework Statistics Help||Mode Homework Statistics Help||Simplex Method Homework Statistics Help||Variance Homework Statistics Help|
|Game Theory Homework Statistics Help||Normal Distribution Homework Statistics Help||Simulation Homework Statistics Help||Vital Statistics Homework Statistics Help|
|Hypothesis Testing Statistics Help||Operations Research Statistics Help||Skewness Statistics Help||What Is a Time Series Statistics Help|
|ANOVA Statistics Help||Data Mining Statistics Help||Negative Binomial Distribution Statistics Help||Sampling Distributions and Estimation Statistics Help|
|Bernoulli Distribution Statistics Help||Describing Data Visually Statistics Help||Nonparametric Tests Statistics Help||Standard Deviation Statistics Help|
|Beta Distribution Statistics Help||Descriptive Statistics Statistics Help||One-Sample Hypothesis Tests Statistics Help||Standard Error Statistics Help|
|Big Data Statistics Help||Differential Equations Statistics Help||Operations Research Statistics Help||Statistics Homework Help (Extended) Statistics Help|
|Bivariate Regression Statistics Help||Discrete Distributions Statistics Help||P-VALUE Statistics Help||Time Series Statistics Help|
|Central Limit Theorem Statistics Help||F-test Statistics Help||Pie Charts Statistics Help||Time series analysis Statistics Help|
|Chi-Square Test Statistics Help||Gamma Distribution Statistics Help||Probability Statistics Help||Two-Sample Hypothesis Tests Statistics Help|
|Clinical Trials Statistics Help||Geometric Mean Statistics Help||r squared Statistics Help||Types of Statistics Statistics Help|
|Contingency Tables Statistics Help||Goodness of Fit Statistics Help||Rank Correlation Statistics Help||Uses of Statistics Help|
|Continuous Distributions Statistics Help||Hypothesis Testing Statistics Help||Regression Statistics Help||Z-Score Statistics Help|
|Control Chart Statistics Help||Logistic Regression Statistics Help||Sample Mean Statistics Help||Z-test Statistics Help|
|Data Collection Statistics Help||Moving Average Statistics Help||Sample Size Statistics Help||Statistics Help|
What do you understand by the term T-Test Statistical Significance?Sample Questions Asked for Homework Statistics
A T-Test Statistical Significance is a comparison between two graphs or groups which almost reflects the real difference between the two population from where data were gathered.T-Test Statistical Significance can be illustrated with the help of an example:
Say for Example, we take data from two Cities of United States such as New York and California regarding the Average Income of per person. When we collected data of 2 persons each from New York and California, the average income come out to $9000 and $17000 respectively. Again, when we collected data of 20000 persons each from New York and California, the average income come out to $12000 and $16000 respectively and Finally when we collected data of 200000 persons each from New York and California, the average income come out to $135000 and $14800 respectively.
In the present case, the one which would reflect the real difference between the Average income of person of two cities of United States are the Average Income arrived from the data of 200000 people as Statistical difference between two groups would be best estimated from the sample size of the population. The higher the Sample size, better would be reliability on the data. Thus in a simple language, statistically significant t-test is the one where differences are likely to occur between two groups or two populations because the sample size of population taken is likely to be atypical.
- What is the meaning of Mean, Median, Mode and Range in terms of Statistics?
The most common term used in the world of Statistics are mean, median and mode. All these three terms are used to find the average of a Data Set. All the three ways have different perspective of Finding the average of the data set and any one method can prove to be very useful based on the kind of argument prevailing.
Mean is the simple average of the data available. To calculate the mean, just the total numbers available in the data set and divide it with the total number of data entries. To Explain Mean, we have used simple 5 data sets.
In the present case, there were 5 data Sets Collected. The total population Including all countries comes out to 2, 26 ,00 ,000 and therefore the mean would be total population divided by the total data entries which would be 4520000.
Median is generally the middle number of the Data taken. However, there is one Common set of rule which must be followed while Calculating Median, that data must be arranged in a format either from Highest to lowest or lowest to Highest and if the middle number of data Entry lies between two number than One must take the Average of two number for calculating mean.To Illustrate Median, we will use 6 simple Data Sets which would be as Follows:
Now the middle number of Data Set comes out to be both South America as well as Australia, so we will add both the population and divide it by 2, which would be 5400000. Hence Median for the Data Set would be 5400000.
Range is the measure of the Spread of the data. It is Calculated by taking the difference between the highest and Lowest Data Set.If we analyze the example of Median, the range would be the highest population minus lowest population which would be 7500000.