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thatcommondumbgirl
thatcommondumbgirl
02.01.2020 • 
Mathematics

The national institute of standards and technology (nist) supplies "standard copper samples" whose melting point is supposed to be exactly 1084.80∘. to do so, nist must check that samples which they intend to supply meet this condition. is there reason to think that the true melting point of a new copper sample is not 1084.80∘? to find out, nist measures the melting point of this sample six times. repeated measurements of the same thing vary, which is why nist makes six measurements. these measurements are a simple random sample, srs, from the population of all possible measurements. this population has a normal distribution with a mean, μ, equal to the true melting point and a standard deviation of =0.25∘ .the hypotheses being tested are h0: =1084.80 versus : ≠1084.80.(a) one set of measurements has mean melting point x¯=1084.90enter this x¯, along with the other required information, into the p‑value of a test of significance applet to find the p

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