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C723 Quantitative Analysis for BusinessFinal WGU Exam Q&A 100% Solved Hypothesis - is an assumption about a population parameter such as a mean or a proportion null hypothesis (H0) - -represents the status quo -states a belief that the population paramete $7.99   Add to cart

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C723 Quantitative Analysis for BusinessFinal WGU Exam Q&A 100% Solved Hypothesis - is an assumption about a population parameter such as a mean or a proportion null hypothesis (H0) - -represents the status quo -states a belief that the population paramete

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C723 Quantitative Analysis for BusinessFinal WGU Exam Q&A 100% Solved Hypothesis - is an assumption about a population parameter such as a mean or a proportion null hypothesis (H0) - -represents the status quo -states a belief that the population parameter is ≤, =, or ≥ a specific value -b...

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C723 Quantitative Analysis for Business-

Final WGU Exam Q&A 100% Solved


Hypothesis - ✔✔is an assumption about a population parameter such as a

mean or a proportion

null hypothesis (H0) - ✔✔-represents the status quo

-states a belief that the population parameter is ≤, =, or ≥ a specific value

-believed to be true unless there is overwhelming evidence to the contrary

alternative hypothesis (H1) - ✔✔-represents the opposite of the null

hypothesis

-believed to be true if the null hypothesis is found to be false

-always states that the population parameter is >, ≠, or < a specific value

two-tail hypothesis test - ✔✔is used whenever the alternative hypothesis is

expressed as ≠

one-tail hypothesis test - ✔✔is used when the alternative hypothesis is

stated as < or >

Type I error - ✔✔-occurs when the null hypothesis is rejected when it is

true

, ©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
-when it occurs the producer is looking for a problem in its process that

does not exist

Type II error - ✔✔-occurs when we fail to reject the null hypothesis when it

is not true

-when it occurs the customer is getting a product from a process that is not

performing properly

Correlation analysis - ✔✔-is used to measure both the strength and

direction of a linear relationship between two variables

-A relationship is linear if the scatter plot of the independent and dependent

variables has a straight-line pattern

correlation coefficient, r - ✔✔-indicates both the strength and direction of

the linear relationship between the independent and dependent variables

population correlation coefficient (ρ) - ✔✔refers to the correlation between

all values of two variables of interest in a population

confidence interval for the mean - ✔✔is an interval estimate around a

sample mean that provides us with a range within which the true population

mean is expected to lie

confidence level - ✔✔is defined as the probability that the interval estimate

will include the population parameter of interest

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