Chapter 8: Probability Distributions Flashcards

(29 cards)

1
Q

What is a probability distribution?

A

A list of all the possible outcomes together with their expected probabilities

Example: Flipping a fair coin results in two outcomes with equal probabilities

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2
Q

What are the two possible outcomes in a binomial distribution?

A

Success and Failure

Examples: Flipping a coin (Heads or Tails), Rolling a die (6 or not 6)

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3
Q

How is a binomial distribution denoted?

A

B(n, p) where n=number of trials and p=probability of success

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4
Q

What are the conditions for a binomial distribution?

A
  • Fixed number of trials (n)
  • Each trial has 2 outcomes (success p or failure q)
  • Trials are independent
  • Probability of success is constant
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5
Q

What is the formula to find probabilities using the binomial distribution?

A

(p + q)^n

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6
Q

What does the term ‘nCr’ on a calculator represent?

A

N=number of trials and r=number of successes

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7
Q

What is the mean (expected value) of a binomial distribution B(n, p)?

A

np

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8
Q

What is a normal distribution?

A

A smooth, bell-shaped curve that is a common model for real-life situations

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9
Q

What is the notation for a normal distribution?

A

N(μ, σ²) where μ=mean and σ²=variance

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10
Q

What are the conditions for a normal distribution?

A
  • Data is continuous
  • Distribution is symmetrical
  • Mode, median, and mean are approximately equal
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11
Q

What percentage of data values lie within 1 standard deviation of the mean in a normal distribution?

A

Approximately 68%

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12
Q

What percentage of data values lie within 2 standard deviations of the mean in a normal distribution?

A

Approximately 95%

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13
Q

What percentage of data values lie within 3 standard deviations of the mean in a normal distribution?

A

Approximately 99.8%

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14
Q

What does a standardised score indicate?

A

How many standard deviations away from the mean the data values are

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15
Q

How is a standardised score calculated?

A

(Score - Mean) / Standard Deviation

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16
Q

What does a positive standardised score indicate?

A

The value is above the mean

17
Q

What does a negative standardised score indicate?

A

The value is below the mean

18
Q

What does a standardised score of zero indicate?

A

The value is equal to the mean

19
Q

What is the purpose of quality assurance?

A

To ensure products are all of the same quality and standard

20
Q

What is involved in the process of quality assurance?

A

Checking samples to ensure they are as close as possible to the target value

21
Q

What is the purpose of checking samples in quality assurance?

A

To ensure products are all of the same quality and standard

It involves selecting samples that are close to the target value for consistent quality.

22
Q

What is the sampling technique used for in quality assurance?

A

To take regular samples and calculate sample mean, median, and range

The specific technique may vary by manufacturer.

23
Q

What are control charts used for?

A

To plot sample values and see how far they are from the expected value

This helps determine if the manufacturing process is functioning correctly.

24
Q

What does a Control Chart consist of?

A

5 lines: Target Value, Upper Warning Line, Lower Warning Line, Upper Action Limit, Lower Action Limit

These lines help monitor the quality of the manufacturing process.

25
What is the Target Value in a Control Chart?
The middle line where sample values should be close to ## Footnote It represents the desired quality level.
26
What do the Upper and Lower Warning Lines represent?
2 SD above and below the target value ## Footnote 2SD corresponds to 95%, meaning only 5% of samples should fall outside these lines.
27
What action is taken if a sample average is plotted above or below the warning line?
Another sample is taken and checked for problems ## Footnote Production may be stopped if issues are detected.
28
What do the Upper and Lower Action Limits indicate?
3 SD above and below the target value ## Footnote Almost all sample averages should fall within these limits.
29
What happens if a sample average is outside the Action Limits?
Production is stopped immediately and machinery is reset ## Footnote This is a critical action to ensure quality control.