BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
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BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
QUESTIONS WITH COMPLETE SOLUTIONS GUARANTEED
PASS BRAND NEW 2025
Bonferroni-Holm Multiple Comparisons - ANSWER>>-In the context of an ANOVA,
rejecting the null hypothesis means there is a statistical difference between at
least two means, but it won't tell you where it is. You use this to discover exactly
which means are different.
-Only used for Model I ANOVAs
-A t-statistic for a two sample t-test assuming equal variance
Steps to Applying the Bonferroni-Holm Multiple Comparison Test -
ANSWER>>Step 1: Calculate test statistics and corresponding P values for each of
the m comparisons
Step 2: Order the P values from smallest to largest: p1,p2,...,pm. Label the
corresponding comparisons: C1,C2,...Cm
Step 3: Compare p1 and alpha(a)/m
(a) If p1 > a/m, then stop. Conclude that there is no evidence of differences
between any of the means. Procedure is done
(b) p1 < or = a/m, then reject Ho for C1. Continue to next step.
Step 4: Compare p2 and a/(m-1)
BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
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(a) If p2 > a/(m-1), then stop. There is no evidence of differences between any of
the means in the remaining comparisons. Procedure is done.
(b) p2 < or = a/(m-1), then reject Ho for C2. Continue to next step.
Step 5: Compare p3 and a/(m-2)
(a) If p3 > a/(m-2), then stop. There is no evidence of differences between any of
the means in the remaining comparisons. Procedure is done.
(b) p3 < or = a/(m-2), then reject Ho for C3. Continue to next step
Continue until procedure requires you to stop or until all P values have been
compared
Kruskal-Wallis Test - ANSWER>>The nonparametric analog to a Model I OneWay
ANOVA. We would use if it we reject the assumption of normality for the data.
Randomized-Complete Block Design ANOVA - ANSWER>>Used to extend paired
experimental designs to accommodate making more than just two measurements
on the same individuals. Also called Repeated Measures ANOVA.
Model Assumptions:
1. Each observation constitutes a random, independent sample from a population
with mean u_ij. There are k x b of these populations sampled.
2. Each of the k x b populations is normal and with the same variance.
3. The treatment and block effects are additive, that is, there is no interaction
(synergy or interference) between blocks and treatments.
BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
QUESTIONS WITH COMPLETE SOLUTIONS GUARANTEED
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, BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
QUESTIONS WITH COMPLETE SOLUTIONS GUARANTEED
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Factorial-Design Two-Way ANOVA - ANSWER>>Model Assumptions:
1. The observations in each cell constitute an independent random sample of
size n from a population with mean u_ij
2. Each of the population represented by the cell samples is normal and has
the same variance.
Friedman k-sample Test: Matched Data - ANSWER>>The nonparametric analog to
the Randomized-Complete Block Design ANOVA
Linear Regression - ANSWER>>Examines the amount of variability in one variable
(Y) that is explained by the changes in another variable (X). Typically used in
situations in which we have control of X and can measure it essentially without
error.
Correlation Analysis - ANSWER>>-Used when both variables (X and Y) are
experimental and measured with error.
-Used to measure the strength of association observed between any pair of
variables and to test whether it is greater than could be expected by chance
alone.
Simple Linear Regression - ANSWER>>The goal is to describe the functional
relationship between two variables as a straight line, where X is the independent
variable and Y is the dependent variable. We assume X to be measured without
error and to be fixed and repeatable.
Model Assumptions:
BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
QUESTIONS WITH COMPLETE SOLUTIONS GUARANTEED
PASS BRAND NEW 2025
QUESTIONS WITH COMPLETE SOLUTIONS GUARANTEED
PASS BRAND NEW 2025
BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
QUESTIONS WITH COMPLETE SOLUTIONS GUARANTEED
PASS BRAND NEW 2025
Bonferroni-Holm Multiple Comparisons - ANSWER>>-In the context of an ANOVA,
rejecting the null hypothesis means there is a statistical difference between at
least two means, but it won't tell you where it is. You use this to discover exactly
which means are different.
-Only used for Model I ANOVAs
-A t-statistic for a two sample t-test assuming equal variance
Steps to Applying the Bonferroni-Holm Multiple Comparison Test -
ANSWER>>Step 1: Calculate test statistics and corresponding P values for each of
the m comparisons
Step 2: Order the P values from smallest to largest: p1,p2,...,pm. Label the
corresponding comparisons: C1,C2,...Cm
Step 3: Compare p1 and alpha(a)/m
(a) If p1 > a/m, then stop. Conclude that there is no evidence of differences
between any of the means. Procedure is done
(b) p1 < or = a/m, then reject Ho for C1. Continue to next step.
Step 4: Compare p2 and a/(m-1)
BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
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, BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
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(a) If p2 > a/(m-1), then stop. There is no evidence of differences between any of
the means in the remaining comparisons. Procedure is done.
(b) p2 < or = a/(m-1), then reject Ho for C2. Continue to next step.
Step 5: Compare p3 and a/(m-2)
(a) If p3 > a/(m-2), then stop. There is no evidence of differences between any of
the means in the remaining comparisons. Procedure is done.
(b) p3 < or = a/(m-2), then reject Ho for C3. Continue to next step
Continue until procedure requires you to stop or until all P values have been
compared
Kruskal-Wallis Test - ANSWER>>The nonparametric analog to a Model I OneWay
ANOVA. We would use if it we reject the assumption of normality for the data.
Randomized-Complete Block Design ANOVA - ANSWER>>Used to extend paired
experimental designs to accommodate making more than just two measurements
on the same individuals. Also called Repeated Measures ANOVA.
Model Assumptions:
1. Each observation constitutes a random, independent sample from a population
with mean u_ij. There are k x b of these populations sampled.
2. Each of the k x b populations is normal and with the same variance.
3. The treatment and block effects are additive, that is, there is no interaction
(synergy or interference) between blocks and treatments.
BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
QUESTIONS WITH COMPLETE SOLUTIONS GUARANTEED
PASS BRAND NEW 2025
, BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
QUESTIONS WITH COMPLETE SOLUTIONS GUARANTEED
PASS BRAND NEW 2025
Factorial-Design Two-Way ANOVA - ANSWER>>Model Assumptions:
1. The observations in each cell constitute an independent random sample of
size n from a population with mean u_ij
2. Each of the population represented by the cell samples is normal and has
the same variance.
Friedman k-sample Test: Matched Data - ANSWER>>The nonparametric analog to
the Randomized-Complete Block Design ANOVA
Linear Regression - ANSWER>>Examines the amount of variability in one variable
(Y) that is explained by the changes in another variable (X). Typically used in
situations in which we have control of X and can measure it essentially without
error.
Correlation Analysis - ANSWER>>-Used when both variables (X and Y) are
experimental and measured with error.
-Used to measure the strength of association observed between any pair of
variables and to test whether it is greater than could be expected by chance
alone.
Simple Linear Regression - ANSWER>>The goal is to describe the functional
relationship between two variables as a straight line, where X is the independent
variable and Y is the dependent variable. We assume X to be measured without
error and to be fixed and repeatable.
Model Assumptions:
BIOSTATISTICS FINAL EXAM DEFINITIONS UTA EXAM
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