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Licemer1 [7]
4 years ago
10

A majority of employees surveyed believe that a top manager who violated ethics policies at their company would be

Business
1 answer:
andrezito [222]4 years ago
4 0
They would be rebuffed and considered responsible. It lays out measures of moral conduct and expert lead workers are required to keep up interior and amid connections with customers and accomplices. An infringement of the code implies you have acted in a way that conflicts with the code. Doing as such prompts outcomes, as laid out in the archive.
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I think it's guessing from context? Hope I helped!
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Answer/Explanation:

Statistics educators often talk about their desired learning goals for students, and invariably, refer to outcomes such as being statistically literate, thinking statistically, and using good statistical reasoning. Despite the frequent reference to these outcomes and terms, there have been no agreed upon definitions or distinctions. Therefore, the following definitions were proposed by Garfield (2005 and have been elaborated in Garfield and Ben-Zvi (2008).

Statistical literacy is regarded as a key ability expected of citizens in information-laden societies, and is often touted as an expected outcome of schooling and as a necessary component of adults’ numeracy and literacy. Statistical literacy involves understanding and using the basic language and tools of statistics: knowing what basic statistical terms mean, understanding the use of simple statistical symbols, and recognizing and being able to interpret different representations of data (Garfield 1999; Rumsey 2002; Snell 1999)

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Help fast <br><br><br><br>for 10 pts​
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training

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Noland bought a fancy new smartphone. it was a different brand of phone than his old phone, so he spent quite a few frustrating
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Noland's problem was most likely due to PROACTIVE INTERFERENCE.
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4 years ago
On the day of the virginia primary election, umuc news club organized an exit poll at three polling stations were randomly selec
jolli1 [7]
This type of sampling method is called cluster sampling. With cluster sampling, the researcher divides the population into distinct group so called clusters. Then, a simple random sample of clusters is particular from the population. The researcher conducts his investigation on data from the sampled clusters. Paralleled to simple random sampling and stratified sampling, cluster sampling has advantages and disadvantages. For example, given equal sample sizes, cluster sampling usually makes available less precision than either simple random sampling or stratified sampling. On the other hand, if travel costs between clusters are high, cluster sampling may be further cost-effective than the other methods.
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