Loading [MathJax]/jax/output/HTML-CSS/jax.js
Skip to main content
Library homepage
 

Text Color

Text Size

 

Margin Size

 

Font Type

Enable Dyslexic Font
Statistics LibreTexts

Search

  • Filter Results
  • Location
  • Classification
    • Article type
    • Author
    • Cover Page
    • License
    • Show TOC
    • Embed Jupyter
    • Transcluded
    • OER program or Publisher
    • Autonumber Section Headings
    • License Version
  • Include attachments
Searching in
About 4 results
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Mostly_Harmless_Statistics_(Webb)/07%3A_Confidence_Intervals_for_One_Population/7.07%3A_t-Interval_for_a_Mean
    To find the confidence interval subtract and add the margin of error to the sample mean to get the lower and upper limit of the interval in two separate cells. A general interpretation where you would...To find the confidence interval subtract and add the margin of error to the sample mean to get the lower and upper limit of the interval in two separate cells. A general interpretation where you would change what is in the parentheses to fit the context of the problem is: “One can be 100(1 – α)% confident that between (lower boundary) and (upper boundary) contains the population mean of (random variable in words using context and units from problem).”
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/10%3A_Hypothesis_Testing_with_Two_Samples/10.08%3A_Chapter_Review
    This page discusses methods for comparing two independent population means and proportions, addressing both known and unknown population standard deviations. It introduces Cohen's d as an effect s...This page discusses methods for comparing two independent population means and proportions, addressing both known and unknown population standard deviations. It introduces Cohen's d as an effect size measure and highlights the importance of equal variance assumptions. The text specifies distribution characteristics for various statistical tests, such as the Student's t-distribution and normal distribution based on data conditions.
  • https://stats.libretexts.org/Workbench/Introduction_to_Statistical_Methods_(Yuba_College)/08%3A_Confidence_Intervals_for_One_Population/8.07%3A_t-Interval_for_a_Mean
    To find the confidence interval subtract and add the margin of error to the sample mean to get the lower and upper limit of the interval in two separate cells. A general interpretation where you would...To find the confidence interval subtract and add the margin of error to the sample mean to get the lower and upper limit of the interval in two separate cells. A general interpretation where you would change what is in the parentheses to fit the context of the problem is: “One can be 100(1 – α)% confident that between (lower boundary) and (upper boundary) contains the population mean of (random variable in words using context and units from problem).”
  • https://stats.libretexts.org/Workbench/Statistics_for_Behavioral_Science_Majors/06%3A_Confidence_Intervals_for_One_Population/6.05%3A_t-Interval_for_a_Mean
    To find the confidence interval subtract and add the margin of error to the sample mean to get the lower and upper limit of the interval in two separate cells. A general interpretation where you would...To find the confidence interval subtract and add the margin of error to the sample mean to get the lower and upper limit of the interval in two separate cells. A general interpretation where you would change what is in the parentheses to fit the context of the problem is: “One can be 100(1 – α)% confident that between (lower boundary) and (upper boundary) contains the population mean of (random variable in words using context and units from problem).”

Support Center

How can we help?