Answer:
The Plains Indians
Explanation:
Indian tribes from the Plains region used buffalo for shelter, food, clothing, and artworks. These Indian tribes include Comanche, Arapaho, Kiowa, Cheyenne, Blackfoot Crow, Lakota, etc. American Indian tribes survived on hunting and gathering practices in the Great Plains. They follow buffalo herds (bison) which allow them to travel from one area to another. They live in tipis made of hides of bison which protect them from winter and rains.
The answer is D because the chemical makeup has not changed. It is still the same quartz just looks different.
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Answer:
sky
Explanation:
this is a fantastic day is going on assam for the latest gives a good time in the latest uh I have a fantastic job in your photography is not a good time is not a lot to do it possible to have the latest gives a lot of fun for video playback is required from you soon and clean up and nice day is going well for 3 for remote playback on a good time for remote for the question for you to know what you are doing paper and nice day ☺️ for remote playback is required for video for video playback is unavailable and also the latest uh oh is that the latest flash video for me to get a good day I would like to have is unavailable right now I have to get the latest uh I am a fantastic job and clean up and I have a fantastic job in the question is not a good day please
The culturally determined psychological timepiece providing a sense of whether we have reached the major benchmarks of life at the appropriate time in comparison to our peers is called <span>social clock.</span>
Answer:
fail to reject the null hypothesis and make a type II error
Explanation:
Even if a treatment is effective in the real world (it has an effect), it is still possible to obtain a sample mean that is so similar to the population mean that the sample mean doesn't fall in the critical, or rejection, region. If this happens, you are likely to <u>fail to reject the null hypothesis and make a type II error</u>.
Since that sample mean is so similar to the population mean, the treatment effect may not be detected on analysis even though it is infact significant, this will cause the research to erroneously concluded that the treatment effect is zero and accept the null hypothesis when it is actually not zero. This is a type II error. Type II error in statistics means the non-rejection of a false null hypothesis and type I error is the rejection of a correct null hypothesis.