What is the Area Under the Curve for 1.5 Standard Deviations from Z=1?

  • Thread starter bluebear
  • Start date
  • Tags
    Statistics
In summary, the question is asking for the area under the standard normal curve within 1.5 standard deviations of z=1. The answer is D, 0.6853. This cannot be calculated by hand, but there are tables available to find the area between different intervals. The shape of the standard normal curve is known as the Gaussian function.
  • #1
bluebear
2
0
Hello,
I'm having trouble with this one question on my review sheet (yikes, and I have a chapter test on Statistics tomorrow!). The question is: What is the area under the standard normal curve that is within 1.5 standard deviations of z=1?

a) 0.2838 b) 0.3050 c) 0.5637 d) 0.6853 e) 0.7714

The answer is D, but I don't know how to get that answer. Anyway, if anyone can help, that'll be GREAT! Thanks so much!
 
Mathematics news on Phys.org
  • #2
You can't really calculate this with paper and pen. However, there are tables that give you the area between different intervals. I'm not sure what the tables are referred to as, but you could try Googling. Also see Gaussian Integral and error function.

Note : the shape of the std. normal curve is the gaussian function :

[tex] f(x)= {\frac {1} {\sigma \sqrt{2\pi}} e^{-x^2/{2{\sigma}^2}} [/tex]
 
Last edited:
  • #3
Thanks!

Thanks for helping! I've finally figured out the answer! =) :smile: :surprise: :biggrin:
 

Related to What is the Area Under the Curve for 1.5 Standard Deviations from Z=1?

1. What is the purpose of statistics?

Statistics is the practice of collecting, organizing, analyzing, and interpreting numerical data. Its purpose is to help us make sense of large amounts of data and to make informed decisions based on that data.

2. What are the different types of data in statistics?

In statistics, there are two main types of data: quantitative and qualitative. Quantitative data is numerical and can be measured, while qualitative data is descriptive and cannot be measured.

3. How do I choose the appropriate statistical test for my data?

Choosing the appropriate statistical test depends on the type of data you have and the research question you are trying to answer. Some common statistical tests include t-tests, ANOVA, and regression analysis. It is important to consult with a statistician or refer to a statistics textbook to determine the best test for your data.

4. What is the difference between descriptive and inferential statistics?

Descriptive statistics involves summarizing and describing a set of data, while inferential statistics involves making predictions and generalizations about a larger population based on a sample of data.

5. How can I ensure the accuracy and reliability of my statistical analysis?

To ensure accuracy and reliability in statistical analysis, it is important to have a well-designed study with a representative sample size and to use appropriate statistical methods. It is also important to properly interpret the results and consider any potential biases or limitations in the data.

Similar threads

Replies
1
Views
867
  • Calculus and Beyond Homework Help
Replies
13
Views
4K
  • Calculus and Beyond Homework Help
Replies
15
Views
1K
  • Calculus and Beyond Homework Help
Replies
3
Views
8K
  • Advanced Physics Homework Help
Replies
1
Views
2K
Replies
3
Views
2K
Replies
1
Views
1K
  • Calculus and Beyond Homework Help
Replies
1
Views
16K
Replies
9
Views
3K
Replies
1
Views
1K
Back
Top