Questi The purpose of stratified random sampling is to make certain hat a. every memember of the population has an equal chance of being selected for the sample. b. the sample proportionately represents individuals from different cateories of the population. c. the participnts chosen for the study are the ones most likely to react to the treatment. d. the sample is more represenative of the target population than the accessible population. Format Tools Table

Questi The purpose of stratified random sampling is to make certain hat a. every memember of the population has an equal chance of being selected for the sample. b. the sample proportionately represents individuals from different cateories of the population. c. the participnts chosen for the study are the ones most likely to react to the treatment. d. the sample is more represenative of the target population than the accessible population. Format Tools Table

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Description: Question 8The purpose of stratified random sampling is to make certainthata. every memember of the population has an equal chanceof being selected for the sample.b. the sample proportionately represents individuals fromdifferent cateories of the pop

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 90% confident that the sample percentage is within 5.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 38% of air passengers prefer an aisle seat. (Round up to the nearest integer.)
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You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 99% confident that the sample percentage is within 1.5 percentage points of the true population percentage. Complete parts (a) and (b) below. Question content area bottom Part 1 a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n=enter your response here (Round up to the nearest integer.)
A method or a set of procedures of using sample data to estimate a population parameter is called A. statistical inference B. statistical interference C. statistical appliance D. statistical description