ABA 630 SAFMEDS week 1

Briefly describe the methods of collecting primary data

Highlight the precautions for use of secondary data

how do the four assumptions underlying the GLM impact the data analysis process ?

what are the four imporatant sources of data?

After these steps, your data sheet should look like below (only part of my data sheet): A B C D E F G H I Mixture Mostly_Building Mostly_Open Mostly_Sky Mostly_Trees Most_Water Other Roads_Cars 1 2 Stress_level 3 Stress_level 4 Stress_level 5 Stress_level 6 Stress_level 7 Stress_level 8 Stress_level 9 Stress_level 10 Stress_level 11 Stress_level 12 Stress_level 13 Stress_level 14 Stress_level 15 Stress_level 16 Stress_level 17 Stress_level 18 Stress_level 19 Stress_level 20 Stress_level 21 Stress_level 22 Stress_level 23 Stress_level 24 Stress_level 25 Stress_level 26 Stress_level 27 Stress_level 2 4 2 2 1 2 2 1 2 1 3 1 1 2 2 1 1 3 3 2 2 3 2 2 1 2 1 4 2 2 3 4 1 5 3 3 3 1 2 1 1 4 3 1 3 4 6 5 1 4 1 2 3 2 1 2 3 2 2 3 3 1 3 2 1 2 1 3 2 1 1 1 4 1 1 3 1 3 1 1 2 3 2 2 2 1 3 2 1 2 1 2 5 1 1 2 1 1 3 3 1 4 2 2 2 2 1 2 1 1 1 2 1 1 1 3 1 1 1 1 1 3 1 3 1 1 5 1 3 2 1 2 3 3 5 4 5 3 4 4 5 4 5 5 5 2 4 4 6 3 6 3 7 2 3 2 is in b. Conduct Single Factor ANOVA analysis as we did in Unit 10. Note: your data…

What type of Data is being shown

QUESTION 3 Please import the resilience dataset into R by the R command below. resilience <- read.csv("https://raw.githubusercontent.com/njlytal/MATH315/main/resilience.csv") This survey data collected from 1,350 students across 25 medical schools in the United States as part of a study examining the life of students and residents in healthcare professions. Variable names and the descriptions of the dataset are as follows: 1. dreem: Perception of the educational environment was assessed via the DREEM questionnaire; possible scores range from 0 to 200, with higher scores representing a more positive perception about the educational environment. Sample questions include "I feel I am being well prepared for my profession" and "The atmosphere motivates me as a learner". 2. train: The first two years of medical school are focused on basic science education (pre-clinical curriculum) and the last two years consist of rotations in clinical settings (clinical curriculum). After medical school,…

How does the purpose of the research study affect the data analysis techniques selected?

How is raw data analysed?

Examine the data elements in contemporary health data terminologies

Differentiate between nominal data and ordinal data. Give at least two examples of nominal and ordinal data.

Describe Ethnography Design and when to use this qualitative research method?

redit Score Ready 300 367 336 169 493 281 591 338 584 359 261 712 456 339 581 650 564 511 402 371 615 392 637 452 694 524 561 517 399 439 437 640 287 688 651 630 395 388 550 586 597 312 499 405 Scenario: Here is a dataset with data about credit card balances (Balance) and individual characteristics of the corresponding credit card holder. Use this data to answer the following questions. Age MENSEN MINIMONNON62 Sheet1 34 82 71 36 68 77 37 87 13 No 19 Yes 14 No 16 No 7 No 9 No 13 No 15 No 17 No 15 No 9 No 9 No 16 No 17 No 10 No 8 No 15 No 16 No 12 Yes 16 No 14 No 16 No 5 No 16 No 13 No 10 No 14 No 12 Yes 11 No 9 No 10 No 14 No 14 No 15 Yes 13 No 14 No Question 1 Accessibility: Investigate 66 41 30 64 57 49 75 57 73 69 28 44 63 72 61 48 57 25 44 44 41 55 47 43 48 30 25 49 71 69 25 47 54 66 66 Education Student 11 No 15 Yes 11 No 11 No 16 No 10 No 12 No 9 No 24 135 52,652 Married Yes Yes No No Yes No No No No Yes Yes No Yes Yes No Yes Yes Yes Yes No No No Yes Yes No Yes No No Yes No Yes…

Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. Assume that a dataset is collected for traffic crash analysis. The dataset contains data of severe traffic crashes between 2015 and 2019 in Australia. The description of the dataset is listed in Table 1. Suggest two (2) additional variables that can be included in traffic crash analysis. Explain the rationale of their inclusion. Table 1. Description of the dataset Field Description Experience The driving experience of the driver (Under 7 years/7- 14 years/Over 14 years) Whether the crash involves fatigue driving (True/False) Whether the crash involves drunk or drug driving (True/False) The type of road where the crash occurs (E.g., Highway, Freeway, etc) The…

What are the best measures used used for data variation or dispersion

Are graphs effective substitutes for the statistical treatment of data?

Which graph used in a residual analysis provides roughly the same information as a scatterplot? What advantages does it have over a scatterplot?

an attempt to develop a model of wine quality as judged by wine​ experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12​wines, a model was created using the percentages of alcohol to predict wine quality. For those​ data, SR=18,671 and SST=27,382.Use this information to complete parts​ (a) through​ (c) below. Please complete part 3(B) ONLY.       Question content area bottom Part 1 a. Determine the coefficient of​ determination, r2​, and interpret its meaning.   r2=0.682 ​(Round to three decimal places as​ needed.)   Part 2 Interpret the meaning of r2.   It means that 68.2 of the variation in wine quality   can be explained by the variation in alcohol content.   ​(Round to one decimal place as​ needed.)   Part 3 b. Determine the standard error of the estimate.   SYX= ​(Round to four decimal places as​ needed.)