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EDA > Sampling Theory Part 2 > Flashcards

Sampling Theory Part 2 Flashcards

1
Q

True or False. The sample size should be carelessly fixed so that it will be adequate to draw valid and generalized conclusions.

A

False (carelessly - carefully)

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2
Q

What are to be determined in determining the appropriate sample size?

A
  1. level of precision
  2. level of confidence or risk
  3. degree of variability
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3
Q

True or False. The more the sample size, the more accurate the conclusions and finding is.

A

True

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4
Q

It is known as sampling error or margin of error.

A

Level of Precision

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5
Q

It is the range in which the true value of the population is estimated to be.

A

Level of Precision

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6
Q

True or False. The level of precision is often expressed in fractions.

A

False(fractions - percentage points)`

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7
Q

It is determined by a statistical method called standard deviation.

A

Level of Precision

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8
Q

What statistical method is used to determine the level of precision?

A

standard deviation

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9
Q

It is the spreadness of data.

A

standard deviation

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10
Q

It refers to how close a measurement is to the true or accepted value.

A

Accuracy

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11
Q

It refers to how close measurements of the same item are to each other

A

Precision

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12
Q

True or False. High standard deviation indicates high precision. Low standard deviation indicates low precision.

A

False (high standard deviation indicates low precision and vice-versa)

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13
Q

It is based on ideas of Central Limit Theorem.

A

Risk Level of Confidence

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14
Q

When a population is repeatedly sampled, the average value of the attribute obtained by those samples is equal to the true population value.

A

Central Limit Theorem

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15
Q

These are data that forms a normal curve when graphed.

A

Parametric

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16
Q

In this, approximately 95% of the sample values are within two standard deviations of the true population value.

A

Normal Distribution

17
Q

True or False. If the confidence level is 95%, 5 out of 100 samples will have the true population value within the range of precision specified.

A

False (5 - 95)

18
Q

It is the range of values we are fairly sure our true value lies in.

A

Confidence Level

19
Q

These are important in solving for confidence interval.

A
  1. Sample Mean
  2. Sample Standard Deviation
  3. Confidence Level Value
  4. Sample Size
20
Q

It refers to the distribution of attributes in the population.

A

Degree of Variability (Proportion, p)

21
Q

True or False. The variables with more homogenous population, the larger the sample size required to obtain a given level of precision.

A

False (larger - smaller)

22
Q

What is required to obtain a given level of precision with variables with more homogeneous population?

A

smaller sample size

23
Q

What is required to obtain a given level of precision with variables with more heterogeneous population?

A

larger sample size

24
Q

When assuming the degree of variability, always use _____ for maximum variability, p.

A

50%

25
Q

What are the ways in determining the sample size?

A
  1. Using census for small populations
  2. Using sample size of a similar study
  3. Using published tables
  4. Using formulas to calculate a sample size
26
Q

Using this way for determining sample size, we need to eliminate sampling error.

A

Using census for small population

27
Q

In this way of determining sample size, we use the entire population as sample.

A

Using census for small populations

28
Q

It is favorable when we are considering a small population only.

A

Using census for small populations

29
Q

When using this, it may run the risk of repeating errors that were made in determinig the sample size for another study.

A

Using a sample size of a similar study

30
Q

It provides the sample size for a given set of criteria.

A

Using published tables

31
Q

What are the formulas we can use to determine the sample size?

A
  1. Cochran Formula
  2. Taro Yamane Sampling Formula or Slovin’s Formula
32
Q

It allows you to calculate an ideal sample size given a desired level of precision, desired confidence level, and the estimated proportion of the attribute present in the population.

A

Cochran Formula

33
Q

It is considered especially appropriate in situation with large populations.

A

Cochran’s Formula

34
Q

To use this formula, you should be working with a finite population and if the population size is known.

A

Taro Yamane Formula

EDA (5 decks)

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