Answer: sample size
Explanation: sample size simply means the number of observations or items chosen as a representation of a population. Sample size is an important terminology used in statistical analysis as most statistical or experimental research cannot be performed using all the available observations in the entire population either due to cost or total impossibility. The larger the sample size, the better the generalization made about the entire population.
Therefore, a sample size consisting of 10,000 participants or observations will generalize more and hence, attract greater value and interest than the same analysis with a sample size of 24 participants.
They need to lose weight in the basket (throw off items), and also make the flame more powerful, too make the balloon rise.
Can have difficulty finding work.
Answer: It is the phase of an innovation stream in which a scientific advance or unique combination of existing technologies creates a significant breakthrough in performance or function.
Explanation: When the industry experiences an unprecedented breakthrough in performance or function during a certain phase or period marked by technological advancement and innovation using new and existing combination of scientific tools, A technological discontinuity is said to be attained.
Answer:
was controlled for in Study 1 using self-report measures.
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