Which plot should be used to summarize the distribution of quantitative data that take on a largenumber of unique values: A: Histogram B: Barplot?Which plot should be used to summarize the counts from different levels of a qualitative factorvariable: A: Histogram B: Barplot?If we want to compare the central 50% of the values of a quantiative variable across multiplelevels of a separate qualitative variable, which plot should be used:A. One boxplot for each group in the same plotB. One boxplot for each group in a different plotC. One hisotogram for each group in the same plotD. One histogram for each group in a different plot?

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Answered: Which plot should be used to summarize…

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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Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…
provide an interpretation of the the plots presented here. what do you learn about the data distribution? do any possible concerns emerge? Then, in two paragraphs, continue with an elaboration on the controlling idea, perhaps with an explanation, implication, or statement about significance.
Suppose the observational units in a study are the patients arriving at an emergency room on a given day, Nov 11, 2019. Number of patients that arrive before noon is a qualitative variable is a quantitative variable is not a variable
I need help with 7, 8 and 9
What is the relative frequency? Give your answer to two decimal places.
2. Introduction to variability A researcher is studying psychological factors in athletic achievement among teenage boys. One variable he is particularly interested in is competitiveness. What information does a measure of variability for the variable competitiveness convey? Check all that apply. What is the central tendency for the variable competitiveness among teenage boys? What is the average value for the variable competitiveness among teenage boys? Do all teenage boys have the same amount of competitiveness? How consistent are the values for competitiveness among teenage boys?
. Present a description of your variables: Provide a codebook with the following four columns: (1) Variable name; (2) Variable label; (3) Value & Value label and Level of measurement (i.e., nominal, ordinal, interval, ratio). Please present this as a table. This should fit on one page.
Current Attempt in Progress The USStates dataset, used throughout the textbook, contains information on the 50 US states. A small segment from the dataset is displayed in the following table State 1 California Colorado Connecticut Save for Later Percent of Residents with a College Degree 34.5 39.6 42.7 What variable was used to determine that 42.7% of Connecticut state residents have a college degree? Is it categorical or quantitative? O Variable what state they are from. This is a categorical variable. O Variable what state they are from. This is a quantitative variable. O Variable O Variable whether or not they have a college degree. This is a categorical variable. whether or not they have a college degree. This is a quantitative variable. Attempts Doffrired
What is the stem-and-leaf plot for the data set? Name Stanley Ben Prusiner Torsten Nils Wiesel Richard Axel 57 58 Robert Coleman Richards 59 James Alexander Mirrlees 60 O O Stem Stem 5 Stem 6 7 5 Stem 6 7 6 5 5 7 6 Age 55 7 Leaf 8 5 Leaf O O 0 O 5 Leaf O O Leaf 5 O O Name Age Robert Merton Solow 63 Stanley Cohen 64 Peter Mansfield 70 Vernon Lomax Smith 75 Richard Fred Heck 79 8 89 2 3 4 5 9 8 89 2 5 9 8 89 4 4 5 9 7 8 9 3 4 5 9
What is an advantage of using a stem-and-leaf plot instead of a histogram? What is a disadvantage? ... What is an advantage of using a stem-and-leaf plot instead of a histogram? O A. Stem-and-leaf plots graph qualitative data where histograms do not. B. Stem-and-leaf plots show data clusters where histograms do not. C. Stem-and-leaf plots easily organize data of all sizes where histograms do not. O D. Stem-and-leaf plots contain original data values where histograms do not. What is a disadvantage of using a stem-and-leaf plot instead of a histogram? O A. Histograms graph quantitative data where stem-and-leaf plots do not. B. Histograms show data clusters where stem-and-leaf plots do not. O C. Histograms contain original data values where stem-and-leaf plots do not. D. Histograms easily organize data of all sizes where stem-and-leaf plots do not.
Suppose you are interested in the population of all college students in the US and that you collect data from all students from FIT. Is the following a parameter or statistic? The proportion of your school's students who are Business Majors a. parameter b. statistic

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