• Shuffle
Toggle On
Toggle Off
• Alphabetize
Toggle On
Toggle Off
• Front First
Toggle On
Toggle Off
• Both Sides
Toggle On
Toggle Off
Toggle On
Toggle Off
Front

### How to study your flashcards.

Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key

Up/Down arrow keys: Flip the card between the front and back.down keyup key

H key: Show hint (3rd side).h key

A key: Read text to speech.a key

Play button

Play button

Progress

1/9

Click to flip

### 9 Cards in this Set

• Front
• Back
 One-sample z-test (Normal distribution or n ≥ 30) and σ known. (z is the distance from the mean in standard deviations. It is possible to calculate a minimum proportion of a population that falls within n standard deviations(see Chebyshev's inequality). Two-sample z-test Normal distribution and independent observations and (σ₁ AND σ₂ known) One-sample t-test (Normal population or n > 30) and σ unknown. df= n-1 Two-sample pooled t-test (Normal populations or n₁ + n₂ > 40) and independent observations and σ₁ = σ₂ and (σ₁ and σ₂ unknown) df = n1 + n2 − 2 Two-sample unpooled t-test (Normal populations or n₁ + n₂ > 40) and independent observations and σ₁ ≠ σ₂ and (σ₁ and σ₂ unknown) Paired t-test (Normal population of differences or n > 30) and σ unknown df= n-1 One-proportion z-test np > 10 and n(1 − p) > 10 Two-proportion z-test, equal variances n₁p₁ > 5 AND n₁(1 − p₁) > 5 and n₂p₂ > 5 and n₂(1 − p₂) > 5 and independent observations Two-proportion z-test, unequal variances n₁p₁ > 5 and n₁(1 − p₁) > 5 and n₂p₂ > 5 and n₂(1 − p₂) > 5 and independent observations