TABLE 9- 1
Microsoft Excel Was Used on a Set

question 16

Short Answer

TABLE 9- 1
Microsoft Excel was used on a set of data involving the number of parasites found on 46 Monarch butterflies captured in Pismo Beach State Park. A biologist wants to know if the mean number of parasites per butterfly is over 20. She will make her decision using a test with a level of significance of 0.10. The following information was extracted from the Microsoft Excel output for the sample of 46 Monarch butterflies:
$\begin{array}{llcc} \hline n=46 ; \text { Arithmetic Mean }=28.00 ; \text { Standard Deviation }=25.92 ; \text { Standard Error }=3.82 ; \\\text { Null Hypothesis:} H_{0}: \mu \leq 20.000 ; \alpha=0.10 ; d f=45 ; T \text { Test Statistic} = 2.09;\\\text { One-Tailed Test Upper Critical Value} =1.3006 ;\text { p-value} =0.021 ; \text { Decision = Reject.}\\\hline\end{array}$

-Referring to Table 9-1, the power of the test is ______if the mean number of parasites per butterfly on Monarch butterflies in Pismo Beach State Park is 18 using a 0.1 level of significance and assuming that the population standard deviation is 25.92.

Recognize the significant role of hopelessness and cognitive rigidity in suicide risk.

Comprehend the demographic variations in suicide rates among different ethnic and age groups.

Distinguish between various psychological disorders and their association with suicide.

Acknowledge the influence of modeling and social contagion effects on suicidal behavior.

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Definitions:

Null Hypothesis

A statement or assumption that there is no significant difference or effect, tested against an alternative hypothesis in statistical analysis.

Null Hypothesis

A hypothesis stating that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.

Type II Error

The error that occurs when a statistical test fails to reject a false null hypothesis, often referred to as a "false negative" finding.

Null Hypothesis

A hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.