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STATISTICS PORTAGE CNSL 503 FINAL PAPER 1 2026 CERTIFICATION EVALUATION QUESTIONS AND SOLUTIONS GRADED A+

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STATISTICS PORTAGE CNSL 503 FINAL PAPER 1 2026 CERTIFICATION EVALUATION QUESTIONS AND SOLUTIONS GRADED A+

Institution
STATISTICS
Course
STATISTICS

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STATISTICS PORTAGE CNSL 503 FINAL
PAPER 1 2026 CERTIFICATION
EVALUATION QUESTIONS AND SOLUTIONS
GRADED A+

●● example of parameter.
Answer: population mean


●● statistic.
Answer: a value that describes a sample; used to estimate population
parameter


●● example of a statistics.
Answer: sample mean


●● In order to make correct inferences about the population, the sample
must....
Answer: reflect the population


●● representative sample.
Answer: consist of members that possess the same characteristics as
those of the population

, ●● biased sample.
Answer: a sample that is not representative of the population


●● 5 types of sampling techniques.
Answer: simple random sampling, systematic sampling, stratified
sampling, cluster sampling, and convenience sampling


●● simple random sampling.
Answer: each member of the population has an equal chance of being
selected for the sample


●● example of simple random sampling.
Answer: everyone in the population of interest rolls a die, everyone
rolling a 6 gets selected


●● In simple random sampling, the probability that each member is
selected is ____ of one another..
Answer: independent


●● Simple random sampling is ideal for ____ populations..
Answer: small

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