True or False Sampling error can be completely eliminated by taking larger

True or false sampling error can be completely

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135.True or False: Sampling error can be completely eliminated by taking larger sample sizes. TYPE: TF DIFFICULTY: Difficult KEYWORDS: sampling error 136.True or False: Sampling error can be reduced by taking larger sample sizes. TYPE: TF DIFFICULTY: Easy KEYWORDS: sampling error 137.True or False: Chunk sample is a type of probability sample. TYPE: TF DIFFICULTY: Easy KEYWORDS: chunk sample 138.True or False: Items or individuals in a judgment sample are chosen with regard to their probability of occurrence. TYPE: TF DIFFICULTY: Easy KEYWORDS: judgment sample, nonprobability sample 139.True or False: When participants are allowed to self-select into the sample, you have a nonprobability sample.
214 Sampling Distributions True TYPE: TF DIFFICULTY: Easy KEYWORDS: nonprobability sample 140.True or False: Systematic samples are less efficient than stratified sample. TYPE: TF DIFFICULTY: Easy KEYWORDS: systematic sample, stratified sample 141.True or False: The professor of a business statistics class wanted to find out the average amount of time per week her students spent studying for the class. Among the 50 students in her class, 20% were freshmen, 50% were sophomores and 30% were juniors. She decided to draw 2 students randomly from the freshmen, 5 randomly from the sophomores and 3 randomly from the juniors. This is an example of a systematic sample. TYPE: TF DIFFICULTY: Moderate KEYWORDS: stratified sample 142.________ results from the exclusion of certain groups of subjects from a population frame. ANSWER: Coverage error TYPE: FI DIFFICULTY: Difficult KEYWORDS: coverage error, survey worthiness 143.Coverage error results in a ________. TYPE: FI DIFFICULTY: Difficult KEYWORDS: selection bias, survey worthiness 144.________ results from the failure to collect data on all subjects in the sample. TYPE: FI DIFFICULTY: Moderate KEYWORDS: nonresponse error, survey worthiness 145.The sampling process begins by locating appropriate data sources called ___________. TYPE: FI DIFFICULTY: Easy KEYWORDS: frames, sampling method 146.True or False: If you randomly select a student from the first row of a business statistics class and then every other 5 students thereafter until you get a sample of 20 students, this is an example of a chunk sample.
Sampling Distributions 215 TYPE: TF DIFFICULTY: Easy KEYWORDS: chunk sample

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