COHP 350 Quiz 5 Verified Study Solutions Rated A+
Type I error ANS - false positive
- Rejecting a true null hypothesis
Why are type I errors worse ANS Because they lead us to decide that a finding exists when it does not.
- It is worse to conclude that we found a result that does not exist ...
COHP 350 Quiz 5 Verified Study Solutions Rated A+
Type I error ANS - false positive
- Rejecting a true null hypothesis
Why are type I errors worse ANS Because they lead us to decide that a finding exists when it does not.
- It is worse to conclude that we found a result that does not exist than to miss one that does
Type II error ANS - false negative
- accepting a false null hypothesis
Hypothesis Testing Steps ANS 1. specify null and alternative
2. collect sample data (usually given in the problem)
3. Determine correct distribution
4. Perform calculations - p-value, test statistic, etc.
5. Make decision and write meaningful conclusion
What is alpha ANS the probability of making a type 1 error
a > p ANS If the p is low, let the null go
- reject the null hypothesis
a < p ANS If the p is high, let the null fly
- fail to reject the null hypothesis
When to use student's t distribution ANS When you have low sample size
Null hypothesis ANS the hypothesis that there is no significant difference between specified populations, any
observed difference being due to sampling or experimental error.
Alternative hypothesis ANS The hypothesis that states there is a difference between two or more sets of data.
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