Question 1

Stratified random sampling is a method of selecting a sample in which

Accepted Answer

A) the sample is first divided into strata, and then random samples are taken from each stratum 
B) various strata are selected from the sample 
C) the population is first divided into strata, and then random samples are drawn from each stratum 
D) None of these alternatives is correct. 
A) the sample is first divided into strata, and then random samples are taken from each stratum 
B) various strata are selected from the sample 
C) the population is first divided into strata, and then random samples are drawn from each stratum 
D) None of these alternatives is correct.

Question 2

A sample of 4 clusters is to be taken from a population with N = 50 clusters and M = 800 elements in the population. The values of Mi and Xi for each cluster are shown below.   
a.Determine the point estimate of the population mean.
b.Determine the standard error of the mean.
c.Develop a 95% confidence interval for the population mean.
d.Determine the point estimator of the population total.
e.Approximate a 95% confidence interval estimate of the population total.

Accepted Answer

a.8
b.1.03
c.5.93 to

Question 3

Simple random sampling has been used to obtain a sample of n = 40 elements from a population of N=300. The sample proportion   
a.Estimate the standard error of the proportion.
b.Develop an approximate 95% confidence interval for the population proportion.

Accepted Answer

a.0.06
b.0

Stratified random sampling is a method of selecting a sample in which

Simple random sampling has been used to obtain a sample of n = 40 elements from a population of N=300. The sample proportion a.Estimate the standard error of the proportion. b.Develop an approximate 95% confidence interval for the population proportion.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Test of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Index Numbers

Decision Analysis on Website

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Exam 22: Sample Survey on Website

Stratified random sampling is a method of selecting a sample in which

Simple random sampling has been used to obtain a sample of n = 40 elements from a population of N=300. The sample proportion a.Estimate the standard error of the proportion. b.Develop an approximate 95% confidence interval for the population proportion.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Test of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Index Numbers

Decision Analysis on Website

Filters