Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

EDA > Sampling theory 2 > Flashcards

Sampling theory 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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

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

A

level of precision
level of confidence or risk
degree of variability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

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

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

It is known as sampling error or margin of error.It is known as sampling error or margin of error.

A

Level of Precision

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

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

A

Level of Precision

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

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

A

False(fractions - percentage points)`

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

It is determined by a statistical method called standard deviation.

A

Level of Precision

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

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

A

standard deviation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

It is the spreadness of data.

A

standard deviation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

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

A

Accuracy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

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

A

Precision

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

It is based on ideas of Central Limit Theorem.

A

Risk Level of Confidence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

These are data that forms a normal curve when graphed.

A

Parametric

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

Sample Mean
Sample Standard Deviation
Confidence Level Value
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 (4 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions