Consider the following hypotheses: H0: μ = 6,000 HA: μ ≠ 6,000
The population is normally distributed with a population standard deviation of 750. Compute the value of the test statistic and the resulting p-value for each of the following sample results. For each sample, determine if you can "reject/do not reject" the null hypothesis at the 10% significance level. (You may find it useful to reference the appropriate table: z table or t table) (Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places. Round "test statistic" values to 2 decimal places and "p-value" to 4 decimal places.)

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22-08-2022
Mathematics

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Consider the following hypotheses: H0: μ = 6,000 HA: μ ≠ 6,000
The population is normally distributed with a population standard deviation of 750. Compute the value of the test statistic and the resulting p-value for each of the following sample results. For each sample, determine if you can "reject/do not reject" the null hypothesis at the 10% significance level. (You may find it useful to reference the appropriate table: z table or t table) (Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places. Round "test statistic" values to 2 decimal places and "p-value" to 4 decimal places.)

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topeadeniran2 topeadeniran2 · Answer 1 · 2022-08-24T22:08:01+02:00

The significance level is the probability of rejecting the null hypothesis when it is true

How to illustrate the information?

The significance level of an event is the probability that the event could have occurred by chance.

A test statistic is a number that is calculated by a statistical test. It describes how far the observed data is from the null hypothesis of no relationship between variables or no difference among sample groups.

A p-value is the statistical measurement used to validate a hypothesis against observed data. AIt measures the probability of obtaining the observed results when the null hypothesis is true

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