Confidence Intervals
Quantifying Uncertainty in Statistical Estimation
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1,538
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4.5 hours
content
Oct 2024
last update
$44.99
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What you will learn
Understand the theoretical foundation of confidence intervals, including concepts such as sampling distributions, standard error, and margin of error.
Calculate confidence intervals for population means and proportions using appropriate formulas
Apply confidence interval methods to real-world example datasets, interpreting the results in the context of practical decision-making scenarios.
Analyze the impact of sample size, variability, and confidence level on the width and reliability of confidence intervals.
valuate the accuracy and limitations of confidence intervals in different statistical analysis, critically assessing their appropriateness for various data.
Create data visualizations and reports that effectively communicate the meaning and implications of confidence intervals to non-technical audiences.
6238007
udemy ID
10/16/2024
course created date
11/7/2024
course indexed date
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