Chapter 6 – Estimation Procedures
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Questions and Answers

What is the value of Z for a 99% confidence interval?

  • 3.29
  • 2.58 (correct)
  • 1.64
  • 1.96
  • What is the formula to calculate the required sample size for a desired level of precision?

  • $n = Z \times \sigma + ME$
  • $n = \frac{Z^2 \times \sigma^2}{ME^2}$ (correct)
  • $n = \frac{Z \times \sigma}{ME}$
  • $n = \frac{ME^2}{Z^2 \times \sigma^2}$
  • How many older adults does the gerontologist need to sample to be 99% confident within a margin of error of $1,000?

  • 200
  • 167 (correct)
  • 250
  • 100
  • If the margin of error (ME) was increased to $1,500, what would be the effect on the required sample size?

    <p>Sample size would decrease</p> Signup and view all the answers

    What does the term σ represent in the sample size formula?

    <p>Population standard deviation</p> Signup and view all the answers

    What does efficiency in the context of an estimator primarily relate to?

    <p>The clustering of the sampling distribution about its mean</p> Signup and view all the answers

    How is the standard error of the mean calculated?

    <p>Population standard deviation divided by the square root of sample size</p> Signup and view all the answers

    Which sample size would yield a lower standard deviation of the sampling distribution?

    <p>Sample size of 1,000</p> Signup and view all the answers

    If the population standard deviation is $5,000 and the sample size is 100, what is the standard deviation of the sampling distribution?

    <p>$500</p> Signup and view all the answers

    What effect does increasing the sample size have on the efficiency of the estimator?

    <p>It increases clustering</p> Signup and view all the answers

    What is the standard deviation of all possible sample means for a sample of size 1,000 with a population standard deviation of $5,000?

    <p>$158.13</p> Signup and view all the answers

    In terms of bias, how do both samples (n=100 and n=1,000) compare when sampling the same population?

    <p>Both samples are unbiased estimators</p> Signup and view all the answers

    What is the standard deviation of the sampling distribution for a sample size of 100 when the population standard deviation is $5,000?

    <p>$500.00</p> Signup and view all the answers

    What is the sample proportion of respondents who are 'very happy' in the United States?

    <p>0.360</p> Signup and view all the answers

    Which country has the highest number of respondents reporting they are 'very happy'?

    <p>United States</p> Signup and view all the answers

    At the 95% confidence level, what formula is typically used to estimate a confidence interval for a sample proportion?

    <p>p ± Z * sqrt((p*(1-p))/n)</p> Signup and view all the answers

    If 35 out of 150 respondents are 'extremely' interested in clubs, what is the estimated sample proportion?

    <p>0.23</p> Signup and view all the answers

    What is the critical Z-value used when constructing a 95% confidence interval?

    <p>1.96</p> Signup and view all the answers

    What is the average (X̄) occupational prestige score reported in the survey?

    <p>43.87</p> Signup and view all the answers

    Which value represents the standard deviation for the respondents' average daily television watching?

    <p>2.20</p> Signup and view all the answers

    What is the correct interpretation of a confidence interval?

    <p>It provides a range of values likely containing the population parameter.</p> Signup and view all the answers

    What does the mean number of cigarettes smoked per day for daily smokers in Canada represent?

    <p>An estimate of cigarette consumption for daily smokers.</p> Signup and view all the answers

    What is the calculated 95% confidence interval for the mean number of cigarettes smoked per day?

    <p>Between 13.76 and 16.19.</p> Signup and view all the answers

    How can SPSS be used to calculate sample proportions?

    <p>By using the Frequencies command to determine valid frequencies.</p> Signup and view all the answers

    What percentage of respondents reported having a seasonal flu shot in their lifetime?

    <p>60.5%</p> Signup and view all the answers

    What is necessary to compute the confidence interval for a sample proportion?

    <p>Sample statistics and sample proportions.</p> Signup and view all the answers

    Which command in SPSS is NOT relevant for calculating sample proportions?

    <p>Correlation</p> Signup and view all the answers

    What proportion corresponds to a percentage of 39.5%?

    <p>0.3950</p> Signup and view all the answers

    What does Pu in the confidence interval formula represent?

    <p>The sample proportion for the studied variable.</p> Signup and view all the answers

    What key methodological information is required in published election period poll results?

    <p>The date on which the poll was conducted</p> Signup and view all the answers

    What is one significant benefit of the growth in opinion polling for social sciences?

    <p>Greater availability of nationally representative databases</p> Signup and view all the answers

    How does the General Social Survey (GSS) enhance research credibility?

    <p>By offering high-quality data for testing theories</p> Signup and view all the answers

    Since when has Statistics Canada conducted the General Social Survey (GSS)?

    <p>1985</p> Signup and view all the answers

    What type of design is used to select the GSS sample?

    <p>Probability design based on EPSEM</p> Signup and view all the answers

    What does the GSS enable researchers to do regarding public opinion?

    <p>Assess trends in public opinion over time</p> Signup and view all the answers

    Which type of record does the GSS provide due to its longitudinal nature?

    <p>Longitudinal record of sentiment and opinion</p> Signup and view all the answers

    What is a characteristic of the sample size in the GSS?

    <p>It is in the thousands providing high precision</p> Signup and view all the answers

    What percentage of the sample agreed that marijuana should be legalized?

    <p>375</p> Signup and view all the answers

    How many respondents attended a religious service at least once in the past month?

    <p>1023</p> Signup and view all the answers

    What is the sample size used to construct confidence intervals for the population mean with a sample mean of 100 and standard deviation of 100?

    <p>500</p> Signup and view all the answers

    What effect does increasing the confidence level have on the width of the confidence interval?

    <p>It increases the width.</p> Signup and view all the answers

    What was the sample proportion used throughout for the three sample sizes in constructing the confidence interval?

    <p>0.40</p> Signup and view all the answers

    At what confidence level is the prediction about candidate A's margin of victory being assessed?

    <p>99%</p> Signup and view all the answers

    What is the required percentage of the vote for a candidate to be considered a winner in a two-candidate race?

    <p>51%</p> Signup and view all the answers

    What was the sample size used in the survey that found 51% of respondents preferred candidate A for mayor?

    <p>578</p> Signup and view all the answers

    Study Notes

    Estimation Procedures

    • Estimation procedures in inferential statistics aim to estimate population values from sample statistics.
    • Point estimates use a single sample statistic to estimate a population value.
    • Confidence intervals give a range of values (an interval) instead of a single point, providing a more comprehensive estimate.

    Bias and Efficiency

    • Estimators are selected based on bias and efficiency.
    • An unbiased estimator has a sampling distribution mean equal to the population value.
    • Sample means and proportions are typically unbiased.
    • Efficiency refers to clustering of the sampling distribution around its mean; a more clustered distribution indicates higher efficiency.
    • Smaller standard deviations of sampling distributions correspond to higher efficiency.
    • Larger sample sizes lead to more efficient estimates.

    Estimation Procedures: Introduction

    • Constructing a point estimate involves drawing a sample, calculating either a proportion or mean, and using that statistic to estimate the population parameter.
    • Larger samples produce more accurate point estimates.
    • Interval estimates, unlike point estimates, provide a range of values, rather than a single value.

    Interval Estimation Procedures for Sample Means (σ Known)

    • A confidence interval based on sample means utilizes a formula that accounts for the known population standard deviation.
    • The formula accounts for the sample mean and a relevant Z-score.

    Interval Estimation Procedures for Sample Means (σ Unknown)

    • Sample standard deviation is used as a substitute for the population standard deviation when it is unknown.
    • The formula adapted to the student's t distribution.
    • Sample size, greater than 100, can be assumed for a large sample.

    Interval Estimation Procedures for Sample Proportions (Large Samples)

    • Estimation procedures for sample proportions are similar to those for sample means.
    • The major difference is the use of a different sampling distribution due to the different statistic.
    • The Central Limit Theorem allows for the assumption of a normal distribution when nP and n(1-P) are 15 or larger.

    Graphing a Confidence Interval of a Sample Mean

    • Confidence intervals for sample means are graphically depicted using error bars, where the error bar spans the confidence interval.

    Determining Sample Size

    • Sample size needed to attain a desired confidence interval is determined before conducting a study.
    • Rearranging the formulas can be used to determine the sample size needed for various confidence interval estimates.

    Interpreting Statistics: Predicting the Election of the Government of Canada

    • Statistical methods for estimating population parameters are used in many ways.
    • Statistical techniques are applied to predict elections and estimate political sentiment.
    • Confidence intervals are used to estimate population values which provide a range of possible values, often expressed as percentages.

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    Description

    Test your knowledge on sample size calculations for a 99% confidence interval. This quiz covers key concepts such as the Z value, margin of error, and the significance of σ in sample size formulas. Perfect for students studying statistics or research methodology.

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