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Semenov [28]
3 years ago
8

A tenet of ______ is that all people should uphold certain values, such as honesty and other values that society needs to functi

on.
Social Studies
1 answer:
san4es73 [151]3 years ago
4 0

I believe the answer is: Universalism

universalism refers to the view that a certain belief or principle have a universal application regardless of who adopt them and the society where it being implemented. Examples of such views are: Not killing others, helping others in need, being honest, etc.

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Dmitriy789 [7]

Answer:

A child can serve Go in many ways by Sending mony to church or reading the bible or praying

Explanation:

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3 years ago
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Match each economic activity with its main purpose.
eimsori [14]

foreign aid to help needy governments

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By 1920, more people lived in rural areas because of job shortages in the cities. True or False?
natka813 [3]

the answer is true more people lived in rural areas

3 0
2 years ago
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3) Which is the BEST description of the narrator's development as a character in this passage?
mojhsa [17]

Answer:

C.

Explanation:

When trying to identify a good description of "character development", your looking for gradual changes in an actors personality. The best examples are generally ones that involve an actor going from disliking something, to liking or accepting it.

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2 years ago
When one changes the significance level of a hypothesis test from 0.01 to 0.05, which of the following will happen? Check all th
jekas [21]

Answer:

B) The chance of committing a Type I error changes from 0.01 to 0.05., E) The test becomes less stringent to reject the null hypothesis (i.e., it becomes easier to reject the null hypothesis), therefore. C) It becomes harder to prove that the null hypothesis is true and G) The chance that the null hypothesis is true changes from 0.01 to 0.05 are all correct answers

Explanation:

The alfa error or type I, refers to the probability error of rejecting the null hypothesis, when it is true, it is the chance of mistake when affirming that an association exists between two variables tested as a cause of an effect on something. i.e: H1: fast food is responsible for diabetes (this is working hypothesis), H0: red hair is responsible for diabetes (this is the null hypothesis). The beta error or type II is related to the size of the sample, it is the chance of accepting something (the null hypothesis) when it is false, depends mostly on having enough measures (or persons under study) so your hypothesis can be proven and be a real representation of the population under study. The statistical significance, namely the p value, can be narrow (p=0.01) or wide (p=0.05), it can be easily understand if we explain it in terms of percentage: you can have 99% (p=0.01) of certainty to affirm that the null hypothesis (the one that you do not believe is true, in the example, red hair as cause of diabetes) is actually wrong or 95% (p=0.05) of certainty to affirm that the null hypothesis (again, the one that you do not believe is true) is actually wrong.

4 0
3 years ago
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