<p>For integration you need some math textbook. Essential Mathematics for Economic Analysis is good textbook. It has a lot of detailed explanations how to solve various integrals.</p>
<p>For the statistics topics you could have a look at Statistics for Business and Economics by Newbold.</p>
<p>If you want some online resources Khan Academy has videos on all the topics you mention, and they show steps and even have practice exams.</p>
<p>For some personal help you will likely have to find some tutor. You can try some online forums or Q&amp;A site like this one, but sites like this one will ask you to show your own attempt at solution which can be difficult if you don't have any idea how to start solving the problem.</p>
<p>How much time you need to learn this topics depends on various factors.</p>
<p>For example, do you already have good algebra and calculus background, aside from not knowing integration? If not you cannot learn integrals without learning algebra and calculus topics first. If you have good background in math you can pick up integrals in 2-4 days. If you do not know what algebra or calculus is it will take you at least 2-3 weeks of intensive daily study to go from knowing nothing to be able to deal with more difficult integrals.</p>
<p>When it comes to statistics topics you describe it depends again on what level you need to understand these topics on. Bachelor level? The list of topics you provide basically covers what is taught in 101 statistic courses at universities that usually run 2-3 months. If you don't need to study anything else and just focus on this you can probably go through everything in 3-4 weeks.  If you need to understand these topics on graduate level you will need much more time.</p>

CC BY-SA 4.0
2023-02-25T10:07:12.187Z
Thanks for your comments. It's on Bachelor level.
Big Smile
CC BY-SA 4.0
2023-02-25T09:27:17.887Z
2023-02-25T09:27:17.887Z
WilliamT
<p>I need to learn ASAP on the list of topics: Multivariate Distribution, discrete and continuous random variables; integration and expectation; law of large numbers and central limit theorem, confidence intervals, and statistical hypothesis test or related topics ( <a href="https://prnt.sc/6u1OuQU8-I3n" rel="nofollow noreferrer">https://prnt.sc/6u1OuQU8-I3n</a>).</p>
<p>Is there a step-by-step study guide or workbook?</p>
<p>Where can we get help if we get stuck on problems in those topics?</p>
<p>Any links to any practice exams with the answer key?</p>
<p>How many hours do you estimate we need to invest to read, learn, practice, and master the skills in each listed topics?</p>

CC BY-SA 4.0
2023-02-27T17:45:33.580Z
This is a workbook (but it is work in progress): https://piazza.com/redirect/s3?bucket=uploads&prefix=paste%2Fhhpkylvw7z87fx%2F05e4d8bd2e50ef02a19b710bc6a3d93dc1546c535d566932fc2ff7b4b902446f%2FStats_book.pdf
Amit
CC BY-SA 4.0
2023-02-28T13:51:29.097Z
Nice work @Amit
EB3112
CC BY-SA 4.0
2023-02-28T14:17:30.097Z
You could try [here](https://www.randomservices.org/random/index.html) or [here](https://www.probabilitycourse.com/)
Golden_Ratio
<reference-request><self-study><probability>
Probability for Economics
Big Smile
# Probability for Economics

(Asked by: username_0 on 2023-02-25)

I need to learn ASAP on the list of topics: Multivariate Distribution, discrete and continuous random variables; integration and expectation; law of large numbers and central limit theorem, confidence intervals, and statistical hypothesis test or related topics ( <https://prnt.sc/6u1OuQU8-I3n>).

Is there a step-by-step study guide or workbook?

Where can we get help if we get stuck on problems in those topics?

Any links to any practice exams with the answer key?

How many hours do you estimate we need to invest to read, learn, practice, and master the skills in each listed topics?

**Tags:** reference-request, self-study, probability
> **Comments:**
> **username_1**: This is a workbook (but it is work in progress): https://piazza.com/redirect/s3?bucket=uploads&prefix=paste%2Fhhpkylvw7z87fx%2F05e4d8bd2e50ef02a19b710bc6a3d93dc1546c535d566932fc2ff7b4b902446f%2FStats_book.pdf  
> **username_2**: Nice work @Amit  
> **username_3**: You could try [here](https://www.randomservices.org/random/index.html) or [here](https://www.probabilitycourse.com/)  

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## 1 answers

### Answer by username_4 on 2023-02-25. Score: 0

For integration you need some math textbook. Essential Mathematics for Economic Analysis is good textbook. It has a lot of detailed explanations how to solve various integrals.

For the statistics topics you could have a look at Statistics for Business and Economics by Newbold.

If you want some online resources Khan Academy has videos on all the topics you mention, and they show steps and even have practice exams.

For some personal help you will likely have to find some tutor. You can try some online forums or Q&A site like this one, but sites like this one will ask you to show your own attempt at solution which can be difficult if you don't have any idea how to start solving the problem.

How much time you need to learn this topics depends on various factors.

For example, do you already have good algebra and calculus background, aside from not knowing integration? If not you cannot learn integrals without learning algebra and calculus topics first. If you have good background in math you can pick up integrals in 2-4 days. If you do not know what algebra or calculus is it will take you at least 2-3 weeks of intensive daily study to go from knowing nothing to be able to deal with more difficult integrals.

When it comes to statistics topics you describe it depends again on what level you need to understand these topics on. Bachelor level? The list of topics you provide basically covers what is taught in 101 statistic courses at universities that usually run 2-3 months. If you don't need to study anything else and just focus on this you can probably go through everything in 3-4 weeks. If you need to understand these topics on graduate level you will need much more time.

> **Comments:**
> **username_0**: Thanks for your comments. It's on Bachelor level.  

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