Sampling Methods and Terminology

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Questions and Answers

What is the primary goal of attribute sampling?

  • To estimate quantitatively the amount of a substance.
  • To determine the uniformity of a property in a population.
  • To calculate the average variance of several samples.
  • To decide on the acceptability of a population based on presence or absence of a characteristic. (correct)

Which of the following defines Homogeneity in terms of food sampling?

  • The process of sampling performed automatically.
  • The quantity of food measured during an operation.
  • The random distribution of a property throughout a population. (correct)
  • The total number of samples collected from a lot.

How does continuous sampling differ from manual sampling?

  • Continuous sampling is more susceptible to human bias.
  • Continuous sampling requires the presence of a trained individual.
  • Continuous sampling is performed mechanically. (correct)
  • Continuous sampling can only be done with liquid substances.

What is the minimum sample size recommended for attribute sampling in relation to the population size?

<p>At least ten times smaller than the population size. (B)</p> Signup and view all the answers

In variance sampling, what is typically measured on a continuous scale?

<p>The amount of a substance, such as protein content. (C)</p> Signup and view all the answers

What is the primary consequence of increasing sample size in analysis?

<p>Increased accuracy of estimation (D)</p> Signup and view all the answers

What type of error arises when a sample is unrepresentative of the population?

<p>Sampling error (A)</p> Signup and view all the answers

Which factor does NOT contribute to inaccuracies in sampling?

<p>Sampling frequency regulation (A)</p> Signup and view all the answers

What is the primary focus of emphasizing the importance of accurate sampling?

<p>To balance consumer and producer risks (B)</p> Signup and view all the answers

Which of the following statements about variance is true?

<p>Variance estimates the uncertainty in sampling. (A)</p> Signup and view all the answers

Which type of error is caused by transferring data improperly from a questionnaire?

<p>Non-sampling error (D)</p> Signup and view all the answers

Which characteristic assumes a normal distribution for continuous changes?

<p>Moisture/protein content (B)</p> Signup and view all the answers

What is a potential result of erroneous sample preparation?

<p>Elevation of overall variance (C)</p> Signup and view all the answers

What is the primary purpose of sampling in food analysis?

<p>To quickly obtain data from a portion of the population. (D)</p> Signup and view all the answers

Which of the following best defines a 'lot' in the context of food sampling?

<p>A quantity of bulk material with similar properties. (A)</p> Signup and view all the answers

What is a laboratory sample?

<p>A sample prepared specifically for testing or analysis. (A)</p> Signup and view all the answers

What does the term 'batch' refer to in food sampling?

<p>A normally produced quantity of food under uniform conditions. (C)</p> Signup and view all the answers

Why is ensuring homogeneity of a sample important in food analysis?

<p>It ensures accurate representation of the entire population. (B)</p> Signup and view all the answers

What should be considered when developing a sampling plan?

<p>The best way to represent the population. (C)</p> Signup and view all the answers

Which characteristic does not apply to a 'lot code'?

<p>It is used exclusively for batch identification. (A)</p> Signup and view all the answers

What is the first step in the workflow of food analysis?

<p>Planning stage. (A)</p> Signup and view all the answers

What is a primary characteristic of probability sampling plans?

<p>Every unit of the population has a known and equal chance of being selected. (A)</p> Signup and view all the answers

Which of the following is an advantage of simple random sampling?

<p>It ensures high probability of achieving a representative sample. (B)</p> Signup and view all the answers

What does stratified sampling involve?

<p>Dividing the population into subgroups and randomly sampling from each. (C)</p> Signup and view all the answers

What is a limitation of simple random sampling?

<p>Identifying all units of the population can be challenging. (C)</p> Signup and view all the answers

Which sampling method is classified as non-probability sampling?

<p>Convenience Sampling (B)</p> Signup and view all the answers

In stratified sampling, why is the data considered more homogenous within each stratum?

<p>Strata are naturally formed based on characteristics. (B)</p> Signup and view all the answers

Which statement about probability sampling plans is false?

<p>They always eliminate human bias. (B)</p> Signup and view all the answers

What is one of the benefits of stratified sampling regarding cost?

<p>It reduces the overall cost due to administrative convenience. (D)</p> Signup and view all the answers

What z-value corresponds to a confidence level of 90%?

<p>1.645 (C)</p> Signup and view all the answers

How does an increase in standard deviation affect the required sample size?

<p>The sample size increases. (A)</p> Signup and view all the answers

In the sample size calculation formula, which variable represents the desired precision?

<p>e (D)</p> Signup and view all the answers

What sample size is required for testing the total sugar in doughnuts with a standard deviation of 5 g and a precision level of 5% at a 95% confidence level?

<p>43 (D)</p> Signup and view all the answers

If the population size is 1000 and the desired precision is 5%, what is the sample size according to the formula provided?

<p>50 (A)</p> Signup and view all the answers

What is the z-value for a confidence level of 98%?

<p>2.58 (B)</p> Signup and view all the answers

What does γ (gamma) represent in sample size calculations?

<p>Accuracy (desired precision level) (D)</p> Signup and view all the answers

What happens to sample size if the level of confidence is increased while keeping other factors constant?

<p>Sample size increases. (D)</p> Signup and view all the answers

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Study Notes

Sampling

  • Sampling is a predetermined procedure that involves selecting, withdrawing, preserving, transporting, and preparing portions of material from a larger lot.
  • Samples are taken to quickly and inexpensively obtain information about a population.
  • Analyzing the entire population is often impractical.

Terminology

  • Population: All objects within the system being studied.
  • Sample: A portion taken from a larger quantity of material.
  • Laboratory sample: A sample prepared for testing or analysis.
  • Lot: A quantity of similar materials with properties being studied.
  • Batch: A quantity of food produced under uniform conditions.
  • Unit: An identifiable portion of food that can be analyzed or combined.
  • Homogeneity: Even distribution of a property or substance within a population.
  • Increment: An individual portion of material taken from a sampling device.

Sampling Methods

  • Attribute sampling: Used to assess population acceptability based on the presence or absence of a particular characteristic.
  • Variance sampling: Used to quantitatively estimate the amount of a substance (e.g., protein content) or characteristic (e.g., color).
  • Manual sampling: Human-performed sampling, requires trained personnel to select samples randomly.
  • Continuous sampling: Mechanized sampling, less prone to human bias than manual sampling.

Sample Size and Accuracy

  • Accuracy of estimation increases with larger sample sizes, but increased costs and analysis time occur.
  • The goal is to obtain samples that are representative of the overall population, avoiding consumer risk (accepting defective products) or producer risk (rejecting acceptable products).

Sampling Errors

  • Sampling error: Occurs when the sample is not representative of the population.
  • Non-sampling error: Error resulting from issues other than sampling, such as data transfer errors.

Factors Contributing to Inaccuracies

  • Sample collection, preparation, laboratory analysis, data processing, and interpretation can all contribute to errors.

Calculating Sample Size

  • Sample size calculations assume a normal distribution for continuously changing characteristics.
  • Formula: n = (Zα/2 × SD)2 / (γ × X)2
    • n = sample size
    • Zα/2 = z-value corresponding to the desired confidence level
    • SD = standard deviation
    • γ = accuracy (desired precision level)
    • X = population mean

Example: Sample Size Calculation

A sample size of 43 doughnuts would be required for a 95% confidence level and 5% accuracy to test total sugar content in a lot, assuming a mean of 30 g of sugar per tray and a standard deviation of 5 g.

Classifying Sampling Plans

  • Probability Sampling Plans: Ensure every population unit has an equal chance of being selected.

    • Simple random sampling: All units have an equal chance of being selected.
    • Stratified sampling: Population is divided into subgroups (strata), and simple random sampling is used within each stratum.
    • Cluster sampling: Population is divided into clusters, and random sampling is used to select clusters.
    • Composite sampling: Multiple increments from a single sampling location are combined.
    • Systematic sampling: Units are selected at regular intervals (e.g., every 10th unit).
  • Non-Probability Sampling Plans: Do not guarantee equal selection chances for all units.

    • Judgment sampling: Based on expert knowledge.
    • Convenience sampling: Units are selected based on ease of access
    • Restricted sampling: Units are selected based on specific criteria.
    • Quota sampling: Units are selected to ensure a specific proportion is represented.

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