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21. The most fundamental, most important and most commonly used data structure in R is a. the vector b. the type of punctuation c. the list d. the scalar e. the string f. the matrix g. the function h. the argument i. the data frame 22. Professor Edward Tufte's advice on the use of ink in graphs, includes: a. minimize ink b. paste illustrations within graphs c. add abundant, explanatory text within graphs d. use ink to make graph visually appealing e. use bubble graphs f. always use color ink g. maximize ink h. none of the above 23. Consider this chunk of R code entered at the command line of the R Console. > y <- rnorm (100) > library (psych) > psych::describe (y, IQR=TRUE) The above R code returns: a. kernel density estimate b. descriptive statistics C. a frequency distribution table d. boxplot e. a print-out of the data f. a histogram g. a test of normality h. IQR 24. Relative to a peer-reviewed journal paper or a presentation, an example of a statistically proper, table of descriptive statistics is one that reports: a. mean, SEM, skewness b. mean, SD, N c. median, IQR, outliers d. mean, SEM e. mean, CV f. mean, SD, minimum, maximum g. mean, N h. mean, SD i. IQR, N j. mean, 95% CI of mean k. any of the above

21. The most fundamental, most important and most commonly used data structure in R is a. the vector b. the type of punctuation c. the list d. the scalar e. the string f. the matrix g. the function h. the argument i. the data frame 22. Professor Edward Tufte's advice on the use of ink in graphs, includes: a. minimize ink b. paste illustrations within graphs c. add abundant, explanatory text within graphs d. use ink to make graph visually appealing e. use bubble graphs f. always use color ink g. maximize ink h. none of the above 23. Consider this chunk of R code entered at the command line of the R Console. > y <- rnorm (100) > library (psych) > psych::describe (y, IQR=TRUE) The above R code returns: a. kernel density estimate b. descriptive statistics C. a frequency distribution table d. boxplot e. a print-out of the data f. a histogram g. a test of normality h. IQR 24. Relative to a peer-reviewed journal paper or a presentation, an example of a statistically proper, table of descriptive statistics is one that reports: a. mean, SEM, skewness b. mean, SD, N c. median, IQR, outliers d. mean, SEM e. mean, CV f. mean, SD, minimum, maximum g. mean, N h. mean, SD i. IQR, N j. mean, 95% CI of mean k. any of the above

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Biostatistics
21. The most fundamental, most important and most commonly used data structure in R is a. the vector b. the type of punctuation c. the list d. the scalar e. the string f. the matrix g. the function h. the argument i. the data frame 22. Professor Edward Tufte's advice on the use of ink in graphs, includes: a. minimize ink b. paste illustrations within graphs c. add abundant, explanatory text within graphs d. use ink to make graph visually appealing e. use bubble graphs f. always use color ink g. maximize ink h. none of the above 23. Consider this chunk of R code entered at the command line of the R Console. > y <- rnorm(100) > library (psych) > psych::describe (y, IQR=TRUE) The above R code returns: a. kernel density estimate b. descriptive statistics C. a frequency distribution table d. boxplot e. a print-out of the data f. a histogram g. a test of normality h. IQR 24. Relative to a peer-reviewed journal paper or a presentation, an example of a statistically proper, table of descriptive statistics is one that reports: a. mean, SEM, skewness b. mean, SD, N c. median, IQR, outliers d. mean, SEM e. mean, CV f. mean, SD, minimum, maximum g. mean, N h. mean, SD i. IQR, N j. mean, 95% CI of mean k. any of the above
Transcribed Image Text:21. The most fundamental, most important and most commonly used data structure in R is a. the vector b. the type of punctuation c. the list d. the scalar e. the string f. the matrix g. the function h. the argument i. the data frame 22. Professor Edward Tufte's advice on the use of ink in graphs, includes: a. minimize ink b. paste illustrations within graphs c. add abundant, explanatory text within graphs d. use ink to make graph visually appealing e. use bubble graphs f. always use color ink g. maximize ink h. none of the above 23. Consider this chunk of R code entered at the command line of the R Console. > y <- rnorm(100) > library (psych) > psych::describe (y, IQR=TRUE) The above R code returns: a. kernel density estimate b. descriptive statistics C. a frequency distribution table d. boxplot e. a print-out of the data f. a histogram g. a test of normality h. IQR 24. Relative to a peer-reviewed journal paper or a presentation, an example of a statistically proper, table of descriptive statistics is one that reports: a. mean, SEM, skewness b. mean, SD, N c. median, IQR, outliers d. mean, SEM e. mean, CV f. mean, SD, minimum, maximum g. mean, N h. mean, SD i. IQR, N j. mean, 95% CI of mean k. any of the above
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