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Statistics 345 Exam 2 Questions with Correct Answers. $14.49   Add to cart

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Statistics 345 Exam 2 Questions with Correct Answers.

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  • Bio 342
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  • Bio 342

Statistics 345 Exam 2 Questions with Correct Answers.

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  • August 4, 2024
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  • Exam (elaborations)
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  • Bio 342
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Statistics 345 Exam 2 Questions with Correct Answers
Hypothesis Correct Answer-a statement about a population parameter or
sample variable that you expect to be true based on available evidence.


hypothesis testing Correct Answer-involves comparing a mean value
from a specific group or condition to the mean value of population or
condition.


Null Hypothesis (Ho) Correct Answer-a statement that there is no
difference between your hypothesized group mean value and the
population, control, or placebo value.
-->usually expressed as both means being equal.


Alternative Hypothesis (H1 or HA) Correct Answer-a statement that
disagrees with the null hypothesis and states what you expect to be true
-->states that the hypothesized group either is not equal to, <, or >
population group.


Steps for hypothesis testing Correct Answer-1. determine your
alternative hypothesis (HA)
2. state your HA as a null hypothesis (Ho)
3. perform statistical analysis to determine if you:
-->reject ho and accept HA
-->accept ho and reject HA.

, Reject ho/accept Ho Correct Answer--if means are different we reject
the Ho and accept HA
-if means are not different we accept the HO and reject HA.


critical(reject)region Correct Answer-all the possible mean values that
would cause you to reject the Ho


accept region Correct Answer-all the possible mean values that would
cause you to accept the Ho


critical value Correct Answer-a value that separates the critical region
from accept region


significance level Correct Answer-the probability that a mean value will
fall in the critical region (making you reject the Ho) when the Ho is
actual true and you should have accept it.


Determining the Critical region Correct Answer--use a standardized
distribution to determine the critical region for a variable
-by converting the means for the groups being compared, you can
determine if the means are different.


Z-score Correct Answer-z = x - mean / standard deviation
-->if z-score is > 1.645; Reject Ho
-->if z-score is < 1.645; Accept Ho

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