Little Quick Fix :Statistical Significance, John MacInnes
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You can't get anywhere in your statistics course without grasping statistical significance. it's often seen as difficult but is actually a straightforward concept everyone can - and should - understand. Do your results mean something - or not? How can you measure it? Breaking it down into three building blocks, this Little Quick Fix shows students how to master:
- hypothesis testing
- normal distribution
- p values
Students will learn how to understand the concept and also how to explain it for maximum effect in their essays and lab reports. Good for results - this is also a secret weapon for critical thinking.
Section 1: What is statistical significance and inference? Section 2: Why do I have to draw a random sample? Section 3: What is a normal distribution? Section 4: What is a standard error? Section 5: How do I calculate confidence intervals with standard errors? Section 6: What is a p-value? Section 7: What does a significant p-value actually mean?
- hypothesis testing
- normal distribution
- p values
Students will learn how to understand the concept and also how to explain it for maximum effect in their essays and lab reports. Good for results - this is also a secret weapon for critical thinking.
Section 1: What is statistical significance and inference? Section 2: Why do I have to draw a random sample? Section 3: What is a normal distribution? Section 4: What is a standard error? Section 5: How do I calculate confidence intervals with standard errors? Section 6: What is a p-value? Section 7: What does a significant p-value actually mean?
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