Why is statistics important

This tells us that obtaining the sample data that the auditor did would be pretty rare if indeed the factory produced tires that have a mean weight of pounds.

Thus, the auditor would likely reject the null hypothesis that the true mean weight of tires produced at this factory is indeed pounds. The value for a correlation coefficient always ranges between -1 and 1 where:. By understanding these values, you can understand the relationship between variables in the real world. For example, if the correlation between advertisement spending and revenue is 0.

As you spend more money on advertising, you can expect a predictable increase in revenue. Another important reason to learn statistics is to understand basic regression models such as:. Each of these models allow you to make predictions about the future value of some response variable based on the value of certain predictor variables in the model.

For example, multiple linear regression models are used all the time in the real world by businesses when they use predictor variables such as age, income, ethnicity, etc. Similarly, logistics companies use predictor variables like total demand, population size, etc.

Another reason to study statistics is to be aware of all the different types of bias that can occur in real-world studies. By having a basic understanding of these types of biases, you can avoid committing them when performing research or be aware of them when reading through other research papers or studies. Many statistical tests make assumptions about the underlying data under study.

The following articles share the assumptions made in many commonly used statistical tests and procedures:. Another reason to study statistics is to understand the concept of overgeneralization. Check out the following articles to gain a basic understanding of the most important concepts in introductory statistics:.

Descriptive vs. Inferential Statistics Population vs. Sample Statistic vs. Parameter Qualitative vs. Your email address will not be published.

Skip to content Menu. Posted on June 9, by Zach. Statisticians work with social scientists to survey attitudes and opinions. They explore differences in viewpoints and in opportunities for persons with varying cultural, racial and economic backgrounds.

In education, statisticians are involved with the assessment of educational aptitude and achievement and with experiments designed to measure the effectiveness of curricular innovations.

Statisticians are an important part of research teams which search for better varieties of agricultural crops, for safer and more effective use of fertilizers and pesticides and for improvements in land management. They also work with conservationists to ensure the safety and propagation of wildlife. In major hospitals, medical schools and government agencies, statisticians study the control, prevention, diagnosis and treatment of diseases, injuries and other health abnormalities.

They also investigate the efficiency of health delivery systems and practices. In the pharmaceutical industry, statisticians design experiments to measure the efficacy of drugs in treating illnesses and to assess the likelihood of undesirable side effects. Whether you have a simple question or need advice to determine if this program is right for you, our friendly advisors are here to help. Schedule an Appointment. Skip to main content.

Online Degree Programs. MS Applied Statistics. Why Michigan Tech? Apply Now. April 5, Underestimating the Importance of Statistics in Decision-Making Initial success may be found when leaders follow their gut and rely on intuition to make key decisions.

The Advantages of Understanding Why Statistics is Important Effective leadership requires a willingness to learn, grow and, if necessary, adapt for the future. Statistics Matters More than Ever in the Age of Big Data Accessing and utilizing statistics is a critical asset in decision-making, particularly in a time when more data than ever is being produced.

Consider some of the data about data : There are 44 zettabytes 44,,,,,,, bytes of digital data traveling the internet. Humans worldwide are adding 2.

Collectively we will generate exabytes of data by Making Sense of Mountains of Data Statistical analysis enables a business or organization to gather and understand segments of data in order to identify patterns and other realities relevant to both past and future success. Leaders can then utilize this analysis in a number of helpful ways, including : Evaluating the performance of staff and determining paths to improvement Identifying patterns in consumer preference and behavior Predicting product performance based on past performance and emerging trends Auditing the efficiency of various processes Evaluating geographical realities within sales or other processes Gathering data and performing statistical analysis equips businesses and organizations with the kind of evidence that helps fuel better decisions.

How Statistics Can Reveal the Future One of the most dramatic reasons statistics is important in decision-making is it can help us see the future.

Experts believe these emerging opportunities in applied statistics will serve organizations in every industry, but some specific applications already demonstrating success include: Higher performance in financial trading Improving diagnostic, treatment and administrative processes in healthcare Better understanding and prediction for marketing and advertising strategies Detailed scientific modeling for pharmaceutical development Customer demographics and trends for retailers Enhanced testing and teaching methods in education Applied Statistics Saves — and Makes — Money A clearer understanding of accurate information positions any entity to both save money in its operations and create more profit.

Businesses utilize statistics in a variety of areas that affect their bottom line, including : Performance measurement Forecasting conditions, production, and sales Analyzing risk and return on investments Market research Statisticians Empower Leaders to Make Better Decisions Increasingly, successful leaders know that understanding and applying statistics is important in decision-making.

One of the ways statisticians prove invaluable is in helping decision-makers avoid common analytical traps, including: Confirmation bias — where the executive only sees what they already believe to be true in a report, as opposed to the more objective interpretation of the data Overconfidence — believing an analysis is covering more than it really does The danger in confirmation bias is keeping the leaders stuck in the past, relying on past practices that no longer lead to future success.

Leverage the Importance of Statistics in Decision-Making to Grow Your Career Most businesses and executives have realized why utilizing statistics is important in decision-making. Adapted from an article originally published in April The value of data and professionals with data expertise is growing exponentially. Statistics play an intrinsic role in computer science and vice versa.