A sample in which every person, object, or event has an equal chance of being selected is called a random sample. Show A random sample is more likely to be representative of the entire population than other types of samples. When a sample does not accurately represent the population, it is called a biased sample. Examples : Identify the population. Determine whether each sample is a random sample or a biased sample. Explain your reasoning. A. Roberto wants to know the favorite sport of adults in his hometown. He surveys 50 adults at a baseball game. The population is adults in Roberto’s hometown. The sample is biased. Because, people who don’t like baseball will not be represented in this sample. B. Paula wants to know the favorite type of music for students in her class. She puts the names of all students in a hat, draws 8 names, and surveys those students. The population is students in Paula’s class. The sample is random. Because, each student has an equal chance of being selected. C. Paula wants to know
the favorite type of music for students in her class. She selected 5 her close friends as a sample and asked their favorite type of music. The population is students in Paula’s class. The sample is biased. Because, all the students do not have equal chance of being a part of the sample. D. Mr. David is the principal of a school and he wants to check how many students are
good in math in 7th grade. He takes the attendance of 7th grade and selects 5 students for a math quiz. The population is students in 7th grade. The sample is random. Because, each student has an equal chance of being selected. E. How might you choose a sample of size 20 to determine the preferred practice day of all the players in a soccer league ? Place the names of all the players in a hat. Draw 20 names. F. For a survey, a company manager assigned a number to each of the company’s 500 employees, and put the numbers in a bag. The manager chose 20 numbers and surveyed the employees with those numbers. Did the manager choose a random sample ? Yes; every employee had an equal chance of being selected.  Apart from the stuff given above, if you need any other stuff in math, please use our google custom search here. Kindly mail your feedback to We always appreciate your feedback. ©All rights reserved. onlinemath4all.com If you're seeing this message, it means we're having trouble loading external resources on our website. If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked. Recommended textbook solutions
Elementary Statistics: A Step by Step Approach10th EditionAllan G. Bluman 2,364 solutions
Elementary Statistics: A Step by Step Approach9th EditionAllan G. Bluman 2,814 solutions Elementary Statistics11th EditionMario F. Triola 2,885 solutions Understandable Statistics: Concepts and Methods10th EditionCharles Henry Brase, Corrinne Pellillo Brase 3,162 solutions What are the 4 types of samples?There are four main types of probability sample.. Simple random sampling. In a simple random sample, every member of the population has an equal chance of being selected. ... . Systematic sampling. ... . Stratified sampling. ... . Cluster sampling.. Is part of the population chosen to represent the entire group?A sample is a subset of units in a population, selected to represent all units in a population of interest. It is a partial enumeration because it is a count from part of the population. Information from the sampled units is used to estimate the characteristics for the entire population of interest.
What is representative random and biased samples?A sample in which every person, object, or event has an equal chance of being selected is called a random sample. A random sample is more likely to be representative of the entire population than other types of samples. When a sample does not accurately represent the population, it is called a biased sample.
When a sample does not accurately represent the population it is a?A sample is “biased” (i.e., not representative of the population) if its sampling distribution cannot be estimated or if the sampling distribution violates the 68-95-99 percent rule.
|
A sample in which every person, object, or event has an equal chance of being selected
zusammenhängende Posts
Urheberrechte © © 2024 defrojeostern Inc.
