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5) FDSC 300 > Lecture 2- Sampling > Flashcards

Lecture 2- Sampling Flashcards

(45 cards)

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1
Q

What is sampling?

A

Predetermined procedure for the selection,withdrawal, preservation transportaion and preparation of the portions to be removed from a lot as samples

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2
Q

Why do we do sampling?

A

Easier, More cost effective, quicker

Get imformation about LARGE populations

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3
Q

Population

A

Set of all objects in the system being investigated

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4
Q

Sample

A

Portion selected froma large quantity of material –> term used for a unit taken from teh total amount of food

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5
Q

Laboratory sample

A

Sample prepared for testing or analysis

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6
Q

Lot

A

Quantity of bulk material of SIMILAR composition whose properties are under study

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7
Q

Batch

A

Quantity of food that is known, or assumed to be produced under UNIFORM conditions
- # should be notes

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8
Q

Unit

A

Each of the discrete, identifiable portion of food that are suitable for removal from a population as samples that can be individually described, analyzed or combined

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9
Q

Homogenity

A

The degree to which a property or substance is randomly distrubuted throughout a population

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10
Q

Increment

A

Individual portion of material collected by a single operation of a sampling device

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11
Q

What are the positive and negative aspects of increasing sample size?

A

+ Increase accuracy

- Increase time and cost of sampling, handling, analysis and data processing

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12
Q

Why is it important to sample properly?

A

To avoid:
Consumer risk –> accepting a defective product
Producer risk –> rejecting an acceptable product

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13
Q

What is an example of sampling error?

A

Sample is not representative of the population

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14
Q

What is an example of a non-sampling error?

A

Transferring data from the questionnaire

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15
Q

What is variance?

A

An estimate of the uncertainty

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16
Q

What is total variance?

A

Sum of variance at each step

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17
Q 
What is an example of error at...
at the 
1. Sample collection
2. Sample preparation
3. Laboratory analysis
4. Data processing
5. Interpretation
A
  1. Sampling error
  2. Erroneoud sample preparation
  3. Manual or intrument error
  4. Erroneous data handling
  5. Erroneous inference
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18
Q

What ar ethe two types of sampling plans?

A

Probability and non-probability plans

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19
Q

What is the basis of probaility sampling plans?

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A

Every unit of a population has a known and equal chance of being selected

  • eliminate human bias
  • statistically sound basis
  • best for a representative sample
20
Q

What is the simple random sampling?

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A

Each element of the population has an equal chance of being included in the sample–> uses a random selection process
**Population needs to be known

21
Q

What are the advantages of simple random sampling?

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A

Easy to conduct
High probability of acheiving a representative sample
Meets assumptions of statistical procedures

22
Q

What are the limitations of simple random sampling?

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A

Indentification of all units of the population can be difficult

23
Q

What is stratified sampling?

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A

Dividing the population into mutally exclusive subgroups(strata) and then using simple random sampling to choose units from each stratum

24
Q

What is an example of stratified sampling?

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A

Egg shell packing station the boxes of eggs are placed on pallets according to their grade size, the population is naturally divided into strata

25
What are the advantages of stratified sampling?
- Data is more homogenous within each stratum - Cost seems to be lower due to admin - Small variances for the sample
26
What are the disadvantages of stratification?
Classification error Prior knowledge of composittion and distribution of population Tedious and time consuming (especially with larger samples
27
What is cluster sampling?
The population is divided into cluster that are designed to be similar as possible to one another Only some randomly selected clusters are sampled ** Stratified are taken from every single subgroup
28
What is the advantage of cluster sampling?
Less costly than simple or stratified
29
What is a disadvantage of cluster sampling?
Higher sampling error (lack of representing
30
What is systematic sampling?
``` The first unit is selected at random start from the first k population units and then units are taken every nth unit N population Sample size n K=N/n Select a number j between 1 and k j, j+k, j+2k, j+3k, j+4K.... ```
31
What are the advantages of sstematic sampling?
Highly representative, w/o random number generator Easier to preform Less prone to error Provide information per unit cost
32
What are some disadvantages of systematic sampling?
Not as random as simple random sampling
33
What is composite sampling?
Collection of numerous individual discrete sample at regular intervals (over period of time) Used obtained samples from bagged products Small portions are taken from different locations, bags, containers Composite sample may be physical mix of individual samples units
34
What are the 5 factors of sampling plans?
1. purpose of inspection 2. Nature of population 3. Nature of product 4. Nature of test method
35
What are the non-probabilty sampling plans?
Judgement Convinience Restricted Quote
36
What is judgement sampling?
Dependent on the subjective judgement of hte person who is drawing the samples
37
What is convinence sampling?
Selecting only accessible part of the population --> chunk sampling or grab sampling
38
Restricted Sampling
sampling (non-probability) | The population is divided into groups, and samples are chosen based on experience and judgement
39
What is attribute sampling?
To decide on the acceptability of a population based on whether the sample possesses a certain characteristics or not Either present or absent ** Sample should be ten time smaller than the population size
40
What is variance sampling?
Performed to estimate quantitatively the amount of a substance or a characteristic on a continuous scale - in a range ** obtained when compared with acceptable value
41
What is manula sampling?
Person doing the sampling should be trained, pick up samples randomly
42
Continuous sampling
Performed mechanically | Less prone to human bias
43
What is the sample size of attribute sampling?
10x smaller than the population
44
Which sampling needs more samples?
Attribute over variance
45
Why does attribute sampling need a larger sample?
In order to make a right judgement

5) FDSC 300 (14 decks)

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