Publications by Laboratory Exercise No. 5
Stat 221 Problem Set No. 7
INSTRUCTIONS: Type your answer on an A4-size bond paper. Use single-space, Arial with 11 as font size. Follow the steps in hypothesis testing. Copy and paste screenshots of JASP output into your answer sheet. Problem No. 1 Absenteeism of undergraduate students from statistics classes is a major concern to instructors. Suppose that a study...
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Stat 137- Plotting Systems in R
Introduction There are three different plotting systems in R and they each have different characteristics and modes of operation. They three systems are the base plotting system, the lattice system, and the ggplot2 system. The Base Plotting System The base plotting system is the original plotting system for R. The basic model is sometimes re...
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Data Visualization Using ggplot2
Plotting One Variable Introduction To visualize one variable, the type of graphs to be used depends on the type of the variable: For categorical variable or grouping variables. You can visualize the count of categories using a bar plot or using a pie chart to show the proportion of each category. Dot charts can be another alternative. For c...
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Stat 131 Problem Set No. 4 KEY ANSWER
Problem No. 1: According to one article published in SN Comprehensive Clinical Medicine journal, the biological differences in the immune systems between men and women may impact the ability to fight an infection including SARS-2-CoV-2. Generally, females are more resistant to infections than men, and this is possibly mediated by several fac...
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Stat 221 ANOVA Additional Examples
One-way ANOVA The table below shows the scores on the first quiz (maximum score 10 points) in a beginning French course. Students in the course are grouped as follows: Group A: Never studied foreign language before, but have good English skills. Group B: Never studied foreign language before; have poor English skills. Group C: Studied other ...
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Stat 137- Quiz No. 1
Describe completely using simple terms what the following code chunk does. (10 pts.) parcel %>% select(CITY_DECODE, DESIGN_STYLE_DECODE) %>% drop_na(c(CITY_DECODE,DESIGN_STYLE_DECODE)) %>% filter(DESIGN_STYLE_DECODE == "Townhouse") %>% group_by(CITY_DECODE) %>% summarize(count = n()) %>% filter(count > 1000) %>% muta...
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Expected Mean Squares
Steps in Deriving Expected Mean Squares Prepare a two way table with the terms of the model as the row labels. Write the subscripts in the model as column headings. Over each subscript, write the number of levels of the factors associated with that subscript and whether the factor is fixed (F) or random (R). Replicates are always treated as ...
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PISA 2018 Supplementary Files
READING PROFICIENCY LEVELS \(\textbf{Level 6}\): Readers at Level 6 can comprehend lengthy and abstract texts in which the information of interest is deeply embedded and only indirectly related to the task. They can compare, contrast and integrate information representing multiple and potentially conflicting perspectives, using multiple crit...
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STAT 137 Final Project
INSTRUCTIONS: Prepare your report in R Markdown. Save it either in PDF or html format. In case, you opted for html, upload your html report in Rpubs.com and attach the link of the document in the VSUEE portal. Make sure to make all graphics as elegant and informative as possible. Apply everything that we have discussed in class in order to ...
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Stat 141- Post hoc analysis of significant interaction
Remarks Recall that when the interaction effect is significant, the effect of one factor is dependent on the other factor When the interaction effect is significant, the main effects are no longer sensible Thus, in the presence of significant interaction effect, we do post test of the levels of one factor at each (fixed) level of the other f...
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