The claim is that weights (grams) of quarters made after 1964 have a mean equal to 5.670 g as required by mint specifications. The sample size is n = 36 and the test statistic is t= - 3.334. Use technology to find tiv the P-value. Based on the result, what is the final conclusion? Use a significance level of 0.10. is, Begin by using the original claim to identify the null hypothesis and the alternative hypothesis for this test. The null hypothesis (denoted by Ho) is a statement that the value of a population parameter (such as proportion, mean, or standard deviation) is equal to some claimed value. The alternative hypothesis (denoted by H, or Ha or HA) is a statement that the parameter has a value that somehow differs from the null hypothesis.

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The claim is that weights (grams) of quarters made after 1964 have a mean equal to 5.670 g as required by
mint specifications. The sample size is n= 36 and the test statistic is t= - 3.334. Use technology to find
hativ the P-value. Based on the result, what is the final conclusion? Use a significance level of 0.10.
hals, Begin by using the original claim to identify the null hypothesis and the alternative hypothesis for this test.
The null hypothesis (denoted by Ho) is a statement that the value of a population parameter (such
as proportion, mean, or standard deviation) is equal to some claimed value. The alternative
hypothesis (denoted by H, or Ha or HA) is a statement that the parameter has a value that somehow differs
from the null hypothesis.
Transcribed Image Text:The claim is that weights (grams) of quarters made after 1964 have a mean equal to 5.670 g as required by mint specifications. The sample size is n= 36 and the test statistic is t= - 3.334. Use technology to find hativ the P-value. Based on the result, what is the final conclusion? Use a significance level of 0.10. hals, Begin by using the original claim to identify the null hypothesis and the alternative hypothesis for this test. The null hypothesis (denoted by Ho) is a statement that the value of a population parameter (such as proportion, mean, or standard deviation) is equal to some claimed value. The alternative hypothesis (denoted by H, or Ha or HA) is a statement that the parameter has a value that somehow differs from the null hypothesis.
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