Statistics help papers assist one avoid getting stuck when writing a statistical research paper. This article stresses on the techniques that have more extensive applications in statistical work. Also, it gives special attention to the types of statistics and the statistical research topics that could be applied by to statistics homework help for high school students and college students.

**Types of statistics**

Statistics field has two major divisions, descriptive statistics and inferential statistics. Each of these segments is crucial through an offering of distinct techniques which accomplish different objectives. Inferential statistics helps scientists or researchers to take findings from a sample group and then generalizing them to a large population. Descriptive statistics in contrast, describe the activities taking place in a data set or a population. Statistical research papers, it well describes these two types of statistics.

**Descriptive statistics **

Majority of people when they say write a research paper for me about statistics, descriptive statistics comes in their mind. The main goal in this branch is to describe. The features of a set of data are described by the numerical measures. In this portion of statistics, there are several items such as;

- Measurements such as a kurtosis and skewness
- Average which comprise mean, median, mode, or midrange.
- Spread of the data set which is measured with the standard deviation or range.
- Correlation and relationships exploration between paired data.
- Overall descriptions of data such as five data summary.
- Presentation of statistical results in graphical form.

These measures are crucial and regularly used because they help researchers to observe the patterns among data and make positive conclusions of that data. However, descriptive statistics describes the data set or population under study. Therefore, results are limited to a specific group and cannot be generalized.

** **** Descriptive Statistics**

In the statistical papers, four types of descriptive statistics are discussed:

### Measure of frequency

This shows the frequency or how often something occurs. In research papers Measure of frequency is used to show the occurrence of given a response. They include frequency, percent and count

### Measure of central tendency

This helps when locating the distribution by various points. They include mean mode and median. In research work, it can be used to show an average or show the response.

### Measures of Dispersion or Variation

Through measure of dispersion one can identify how scores spread by stating intervals. This includes Variance, Range and Standard Deviation.

- Range = High/Low points
- Variance or Standard Deviation = difference between observed score and mean

- d) Measures of Position

In this descriptive statistics depend on standardized scores and also help in describing how scores fall in relation to one another. Under research, this is often used when you need to compare scores to a normalized score (e.g., a national norm) they include Percentile Ranks and Quartile Ranks.

Presentation of descriptive statistics is usually presented numerically or in pictorial form. Numerical statistics include used of numbers meaningful to the research under question. Pictorial statistics include the use of graphs and pictures to present numerical data.

**Inferential statistics **

They are produced through mathematical calculations that are complex and therefore allow researchers to infer trends about a larger population from the sample results. It is complex to examine each member of a population. Therefore, researchers use inferential statistics to examine relationships between variables within a sample which help in making predictions about how those variables will relate to a larger population. Inferential statistics include:

- T-test
- ANOVA
- Chi-Square
- ANCOVA

## **Descriptive vs. inferential statistics**

Despite its usefulness in learning the spread and midrange of the data, we cannot use descriptive statistics to make any generalizations. This is because we term measurements such as standard deviation and mean as exact numbers.

Despite the use of similar calculations such as standard deviation and the mean, the focus in inferential statistics is different. This is because it begins with a sample and then generalizes to a population.

## **Statistics project ideas for high school**

When the data is interesting to the students, statistical activities such as the collection, interpretation and analysis of data becomes more fun to them. However, according to statistical researches, it is not always the most exciting subject for students. There is a lot of crunching numbers, data entry into calculators and computers, and analyzing data. Through statistical research papers, we can study this important subject in a manner that is more exciting for students. A centerpiece of that can be statistics project. This include

- School census project.
- Public School Teachers, Base Salary, and Additional Income.

**Online Statistics Homework help topics for college students**

Research topics projects for college students can be exhaustive as they cover a wide range of data. This therefore means the use of samples to represent the general data set or population. Because of many mathematical formula and tests such as t-test, a student finds it a bulky work to work out. Through statistical papers, college students can find topics example of projects and an illustration of how they are worked out. Students can always have this projects handled by a professional by typing write my paper for me and we will take it from here.

### Example of projects for college students include:

- Economics and Business forecasting through the use of Time Series Analysis.
- Male and female literacy rate in Africa.
- A regression analysis of National Income and Expenditure from 1990 to 2014.
- A statistical analysis on the effect of NPK fertilizer on crop growth.

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