Search results
Why do we need statistics? •The overarching goal of this course is to figure out which best way of stats is the best tool to answer the data. Statistics is deeply intertwined with research design; If you want to become good at designing psychological studies, you need to (at the very least) understand the basics of statistics
There are two major reasons why learning statistics may be of value to you. First, you are constantly exposed to statistics every day of your life. Marketing surveys, voting polls, and the findings of social research appear daily in newspapers and popular magazines. By learning statistics, you will become a sharper consumer of statistical material.
- Reason 1: to Use Descriptive Statistics to Understand The World
- Reason 2: to Be Wary of Misleading Charts
- Reason 3: to Be Wary of Confounding Variables
- Reason 4: to Make Better Decisions Using Probability
- Reason 5: to Understand P-Values in Research
- Reason 6: to Understand Correlation
- Reason 7: to Make Predictions About The Future
- Reason 8: to Understand Potential Bias in Studies
- Reason 9: to Understand The Assumptions Made by Statistical Tests
- Reason 10: to Avoid Overgeneralization
Descriptive statisticsare used to describe a chunk of raw data. There are three main types of descriptive statistics: 1. Summary statistics 2. Charts 3. Tables Each of these can help us gain a better understanding of existing data. For example, suppose we have a set of raw data that shows the test scores of 10,000 students in a certain city. We can...
There are more charts being generated in journals, news outlets, online articles, and magazines than ever before. Unfortunately, charts can often be misleading if you don’t understand the underlying data. For example, suppose some journal publishes a study that finds a negative correlation between GPA and ACT scores for students at a a certain univ...
One important concept that you’ll learn about in statistics is the concept of confounding variables. These are variables that are unaccounted for and can confoundthe results of an experiment and lead to unreliable findings. For example, suppose a researcher collects data on ice cream sales and shark attacks and finds that the two variables are high...
One of the most important sub-fields of statistics is probability. This is the field that studies how likely events are to happen. By having a basic understanding of probability, you can make more informed decisions in the real world. For example, suppose a high school student knows that they have a 10% chance of being accepted to a given universit...
Another important concept that you’ll learn about in statistics is p-values. The textbook definition of a p-value is: For example, suppose a factory claims that they produce tires that have a mean weight of 200 pounds. An auditor hypothesizes that the true mean weight of tires produced at this factory is different from 200 pounds so he runs a hypot...
Another important concept that you’ll learn about in statistics is correlation, which tells us the linear association between two variables. The value for a correlation coefficient always ranges between -1 and 1 where: 1. -1 indicates a perfectly negative linear correlation between two variables 2. 0 indicates no linear correlation between two vari...
Another important reason to learn statistics is to understand basic regression models such as: 1. Simple linear regression 2. Multiple linear regression 3. Logistic Regression Each of these models allow you to make predictions about the future value of some response variablebased on the value of certain predictor variables in the model. For example...
Another reason to study statistics is to be aware of all the different types of bias that can occur in real-world studies. Some examples include: 1. Observer Bias 2. Self-Selection Bias 3. Referral Bias 4. Omitted Variable Bias 5. Undercoverage Bias 6. Nonresponse Bias By having a basic understanding of these types of biases, you can avoid committi...
Many statistical tests make assumptions about the underlying data under study. When reading the results of a study or even performing your own study, it’s important to understand what assumptions need to be made in order for the results to be reliable. The following articles share the assumptions made in many commonly used statistical tests and pro...
Another reason to study statistics is to understand the concept of overgeneralization. This occurs when the individuals in a study are not representativeof the individuals in the overall population and therefore it’s inappropriate to generalize the conclusions from a study to the larger population. For example, suppose we want to know what percenta...
Well, since you asked - there are five major reasons to study statistics: The first reason is to be able to effectively conduct research. Without the use of statistics it would be very difficult to make decisions based on the data collected from a research project.
- 11KB
- 3
Dec 9, 2020 · This is because statistics is how we communicate in science. It serves as the link between a research idea and usable conclusions. Without statistics, we would be unable to interpret the massive amounts of information contained in data.
Why do we exist? What do we offer? Who will be tasked to do the work? The 2020 Pulse reveals a new way of doing business. The beginning of a new decade is ushering in a world full of complex issues that require organizational leaders to reimagine not just the nature of work, but how it gets done.
People also ask
What are the 5 Reasons to study statistics?
Why is the field of Statistics important in modern life?
Do statistical programs report significance tests re-SULTs?
Why is statistical research important?
Why do we need statistics?
Why should you learn statistics?
Statistics are tools we use to analyze data, nothing more. Why we analyze these data is an-other story. Psychological research can serve two general purposes: prediction and explanation. Pre-dictive research is conducted to see how well a variable (or set of variables) predicts another vari-able. If we determine that the relationship be-
