In some occasions, you will have to write an essay in the extremely short amount of time on the exam in college or high school. Also, you may be a little bit of a procrastinator, and find yourself in a situation when the paper is due tomorrow morning, and you have not even chosen the topic yet. Even though a last-minute essay cannot look as great as a work prepared successively and carefully within the whole time given, you still have a chance to submit a decent paper. The working process will require your full attention and a lot of effort, even if you are assigned a simple essay. However, if you learn the next few tips, the essay writing will seem significantly easier and feasible even when you are short on time.

Firstly, clean up your working space to get started. Make sure you have everything you need on the table, take a pen, a few sticky notes, your laptop, and read through the assignment requirements. In case no prompt is given, search for good essay topics, and pick a few uncommon and interesting ones you will be able to write about. Making a final choice, think which topic is the most relevant to your current studies and will not take too much to research.

Afterwards, look for the most trustworthy sources or the ones you are certainly allowed to use. If you are not sure, access the online library or any free services where you can look for the books and articles for your essay. Use sticky notes to write down the information and put them in front of you to see how much data has been gathered and if you need to continue researching. Reread these notes from time to time and cross out the info you do not find relevant anymore.

When you have the data you need to produce a quality work, it is crucial to think about the structure of the future paper. If you are not sure how to write an essay outline properly, check what your essay type is first. Each type is organized differently, so you need to look up the structure every time you are given an essay homework. You can also search for an example of the essay on your topic, and adhere to its outline. No matter what kind of essay you are going to write, it is important to start with a thesis statement. It should declare what problem you will review in the paper, and which facts or arguments you will use to do it professionally. As these arguments will be discussed in the main part of the essay, outline the body paragraphs and put down a few sentences with the rough description of each paragraph. Think of the way you will engage the reader in the introduction, and which thought will be conclusive for the paper. When the direction of the work is clear from the outline, use it to draft the first version of the essay.

If you are not used to model essay writing, do not worry - your draft should not necessarily look like a masterpiece. It is only the depiction of your thoughts, and as you will have them written down, it will be easier to create a good essay. There is no best way to write an essay, so trust the working methods you usually use. You may like taking short breaks once in a few minutes, or write everything in one sit - just make sure to keep the focus on writing and avoid the urge to call a friend or watch something online. Thus, you will finish the paper faster, and will not feel guilty for engaging in other activities afterwards.

Do not forget to go through the essay a few times after the completion. Everyone makes typos and mistakes by accident, but it is about you to find and fix them before your teacher does. If you need help with an essay editing, try asking a friend or a family member to read and analyze your work. Also, you can order editing services in case your paper needs to be perfectly polished so that you can submit an ideal essay and get an excellent grade.

As these steps are simple to follow, you will not have any problems coping with an essay on time. Try the whole procedure at least once, and you will not have to use any other tips preparing an essay paper during your studies!

Which command gives descriptive statistics in Stata?

the summarize command
Generating summary statistics with summarize For summary statistics, we can use the summarize command. Let’s generate some summary statistics on mpg. We can use the detail option of the summarize command to get more detailed summary statistics.

How do you do descriptive analysis of data?

Steps to do descriptive analysis:

  1. Step 1: Draw out your objectives.
  2. Step 2: Collect your data.
  3. Step 3: Clean your data.
  4. Step 4: Data analysis.
  5. Step 5: Interpret the results.
  6. Step 6: Communicating Results.

What is the command for summary statistics in Stata?

Stata provides the summarize command which allows you to see the mean and the standard deviation, but it does not provide the five number summary (min, q25, median, q75, max). You can use the detail option, but then you get a page of output for every variable.

What is descriptive in data analysis?

Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data.

How do I get the variable information in Stata?

The describe command gives information about how the variable is stored in Stata, while the codebook provides diverse information, including the type of variable, range, frequent values, amount of missing, etc. Here we also use lookfor to find all variable names or variable labels that contain an “s”.

What are the four types of descriptive statistics?

There are four major types of descriptive statistics:

  • Measures of Frequency: * Count, Percent, Frequency.
  • Measures of Central Tendency. * Mean, Median, and Mode.
  • Measures of Dispersion or Variation. * Range, Variance, Standard Deviation.
  • Measures of Position. * Percentile Ranks, Quartile Ranks.

What is Tabstat command in Stata?

tabstat displays summary statistics for a series of numeric variables in one table. It allows you to specify the list of statistics to be displayed. Statistics can be calculated (conditioned on) another variable. tabstat allows substantial flexibility in terms of the statistics presented and the format of the table.

What are the five descriptive statistics?

Descriptive statistics are broken down into measures of central tendency and measures of variability (spread). Measures of central tendency include the mean, median, and mode, while measures of variability include standard deviation, variance, minimum and maximum variables, kurtosis, and skewness.

What is Egen in Stata?

The Stata command egen, which stands for extended generation, is used to create variables that require some additional function in order to be generated. Examples of these function include taking the mean, discretizing a continuous variable, and counting how many from a set of variables have missing values.

What is a byte in Stata?

Here we can see that the storage type is listed as “byte.” Byte indicates that the variable is stored as an integer between -127 and 100. The default data storage type for Stata is “float.” By inquiring with Stata using the help command, we see that the float variable type is much larger relative to. byte: .

What are the basic commands used in Stata?

Basic commands (review) • Stata’s screen • First steps (working directory, log file, memory setting) • Frequencies • Crosstabulations • Scatterplots/Histograms

How to open a working directory in Stata?

First steps: Opening/saving Stata files (*.dta) To open files already in Stata with extension *.dta, run Stata and you can either: • Use the menu: go to file->open, or • In the command window type use “c:\\mydata\\mydatafile.dta” If your working directory is already set to c:\\mydata, just type

What file types can be read by Stata?

*.log (text file, any word processor can read it), *.smcl (formated log, only Stata can read it). *.spo (only SPSS can read it) (various formats) *.R, *.txt(log files, any word processor can read)

What is the difference between dataset and Stata?

• A dataset is a collection of several pieces of information  called variables (usually arranged by columns).  A variable  can have one or several values (information for one or  several cases). • Other statistical packages are SPSS, SAS and R. • Stata is widely used in social science research and the