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2 cards from this section. Quick, good the night before a test.
What is the formula for the single proportion test?
Remember p is the sample proportion, and P is the population proportion.
How do you calculate the pooled proportion?
Combine the strengths of both samples!
What is the primary purpose of a single proportion test?
Think about how this test relates to claims made about a population.
True or False: A higher Z value always means that the result is significant.
Consider the context of significance testing!
A medical trial reported a success proportion of 0.85 in a new treatment compared to a known treatment proportion of 0.70. If 120 participants in the trial were successful, test if the new treatment is significantly better.
Ensure to check the assumptions of the test before grabbing your calculator.
Two brands of light bulbs were tested to see which has a longer lifespan. Sample A reports 15 failures out of 100 bulbs while Sample B reports 5 failures out of 80. Can you determine if there's a significant difference in proportions of failures?
Be sure to clearly lay out the calculations step-by-step!
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