STA104 Introduction To Statistics Assignment Sample UiTM Malaysia

This course is an introduction to the statistical method. It will give you a solid understanding of how data are collected and what type there may be, as well as show some examples from everyday life so that it’s easier for people like me (that sound surprised) because sometimes when we think about statistics all these things come into our head but then again maybe not…I don’t know! This stuff can go anywhere really depending on who tells their story or article-so get ready with open minds everyone else seemed fine just accepting whatever information they were given without question – no judgements here though.

The first part of the course is about data. You will learn how to collect, organize and describe data. You will also learn about different types of data, such as categorical and numerical data.

The second part of the course is about statistical methods. You will learn how to use different statistical methods to analyze data. You will also learn about different types of statistical tests, such as t-tests and chi-squared tests.

The third part of the course is about probability. You will learn about different probability distributions, such as the normal distribution. You will also learn about different types of events, such as independent and dependent events.

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Assignment Task 1: Explain The Concept, The Use And The Application Of Basic Statistical Tools In Descriptive And Inferential Statistics.

Statistics is the science of data. It’s the study of how to collect, analyze, interpret, and present data in a meaningful way.

There are two main types of statistics: descriptive and inferential. Descriptive statistics is the type of statistics that we use to summarize data. It includes things like mean, median, mode, and standard deviation. Inferential statistics is the type of statistics that we use to make inferences about populations from samples. It includes things like t-tests, ANOVA tests, and chi-square tests.

Statistics can be used for all sorts of purposes, such as measuring efficacy in clinical trials, analyzing data from surveys, or making predictions about future events. The most important thing to remember is that statistics is a tool, and like any tool, it should be used in the right way for the job at hand.

Basic statistical tools are important for both descriptive and inferential statistics. Some of the most common ones are listed below:

• Mean: The mean is the average value of a data set. To calculate it, add up all the values in the data set and then divide by the number of values.
• Median: The median is the middle value of a data set. To calculate it, arrange all the values in the data set from smallest to largest, and then find the value that is in the middle. If there is an even number of values, the median is the average of the two middle values.
• Mode: The mode is the most common value in a data set. To calculate it, simply find the value that occurs most often.

Assignment Task 2: Determine Appropriate Statistical Solution And Interpreting The Real World Problem.

There is no one right answer to this question – it depends on the specific problem you are trying to solve and the data you have available. However, some general tips can help you choose the appropriate statistical solution and interpret the results in the real world. 

First, start by clearly defining your goals. What are you trying to achieve with your analysis? This will help you choose the right type of statistical test or technique. 

Next, consider what type of data you have. Is it categorical or numerical? If it’s numerical, is it normally distributed? If not, that may affect which tests or techniques are appropriate. 

Once you’ve collected and cleaned your data, it’s time to start exploring it. Plot your data and look for patterns. This will give you a better idea of what type of statistical analysis is appropriate. 

Finally, run the appropriate statistical test or technique and interpret the results. Remember to always consider the context when interpreting your results – just because a result is statistically significant doesn’t mean it’s important in the real world. 

By following these tips, you can ensure that you choose the right statistical solution and interpret the results correctly in the context of your real-world problem.

Assignment Task 3: Propose The Use Of Descriptive Statistics In The Area Of Computing.

Descriptive statistics can be used in the area of computing to help summarize and display data. Typically, when working with data sets, you may want to know things like the average, median, mode, and range. These are all examples of descriptive statistics.

By using descriptive statistics, you can quickly get a sense of what the data looks like as a whole. This can be helpful when trying to understand patterns or when looking for outliers. Additionally, descriptive statistics can also be used to create graphs or tables that help illustrate the data more visually.

If you are working with a large data set, it can be helpful to use descriptive statistics to break the data down into manageable chunks. For example, you may want to look at the average age of users or the most common first names. This can help you better understand your data and make more informed decisions about how to proceed.

There are many different ways to calculate descriptive statistics. Some common methods include using Excel or R, but some online calculators can be used. Whichever method you choose, make sure that you understand how to use it properly so that you can get accurate results.

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