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MIS 301 FINAL SHAUL Question and answers rated A+ 2024 £11.01   Add to cart

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MIS 301 FINAL SHAUL Question and answers rated A+ 2024

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MIS 301 FINAL SHAUL Question and answers rated A+ 2024 Explained Variance - correct answer Variance between samples: An estimate of σ2 that is the variance of the sample means multiplied by n (when the sample sizes are the same.). If the samples are different sizes, the variance between sample...

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  • August 27, 2024
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  • MIC 301
  • MIC 301
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MIS 301 FINAL SHAUL / SDSU
Explained Variance - correct answer ✔Variance between samples: An
estimate of σ2 that is the variance of the sample means multiplied by n (when
the sample sizes are the same.). If the samples are different sizes, the
variance between samples is weighted to account for the different sample
sizes. The variance is also called variation due to treatment or explained
variation.


(The explained variation is the sum of the squared of the differences between
each predicted y-value and the mean of y. And on the other hand


Unexplained Variance - correct answer ✔Variance within samples: An
estimate of σ2 that is the average of the sample variances (also known as a
pooled variance). When the sample sizes are different, the variance within
samples is weighted. The variance is also called the variation due to error or
unexplained variation.


The unexplained variation is the sum of the squared of the differences
between the y-value of each ordered pair and each corresponding predicted
y-value.)


Variance - correct answer ✔standard deviation squared


Anova test - correct answer ✔Analysis of Variance; used to compare three or
more independent continuous outcome variables; parametric


Anova Multiple 2 sample t - test - correct answer ✔The two-sample t-test
(also known as the independent samples t-test) is a method used to test
whether the unknown population means of two groups are equal or not.

, Assumptions - correct answer ✔. the population follows the normal
distribution


2. the populations have equal standard deviations


3. the populations are independent




Each population from which a sample is taken is assumed to be normal.


All samples are randomly selected and independent.


The populations are assumed to have equal standard deviations (or
variances).


The factor is a categorical variable.


The response is a numerical variable.


Null and Alternative - correct answer ✔H0: The null hypothesis: It is a
statement of no difference between the variables-they are not related. This
can often be considered the status quo and as a result if you cannot accept
the null it requires some action.


Ha The alternative hypothesis is the contender and must win with significant
evidence to overthrow the status quo. This concept is sometimes referred to
the tyranny of the status quo because as we will see later, to overthrow the
null hypothesis takes usually 90 or greater confidence that this is the proper
decision.

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