UNIT 3 Learning Journal PDF

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Learning Journal Unit 3 1. Learning Journal Reflective Comments: - Nov 27, 2020: Read chapter 3 of the textbook. This week’s chapter covers how to produce histograms and box plots; calculate mean, median, ariance, standard deviation, and inter-quartile range. While reading the chapter, I computed the numerical measures using R. The outputs were the same as presented in the textbook. - Nov 28, 2020: Watched the videos in reading assignment. That helped me get more understanding of what I read from the textbook.. - Nov 29, 2020: Did the self-quiz and Supplementary Exercise. The quiz is very helpful for me since I can practice how to associate each box plot with its relative histogram and get ready for the Graded Quiz. - Nov 30, 2020: Completed the Graded Quiz for Unit 3. - Dec 1, 2020: Posted my answer to the Discussion Forum. Did the Peer Assessment for 3 students in Unit 2. - Dec 2, 2020: Rated and replied to other posts in the Discussion Forum.Finished up the learning journal. 2. Vocabulary and R functions a. What does the length function tell you? For vectors (including lists) and factors the length is the number of elements. For example: > x length(x) [1] 16 The length function shows us that there are 16 elements in the data set x. b. Description of variance: For a set of data, if x is a value of one observation and ¯x is the mean value of all observations, then (x - ¯x) is the deviation. Now if we sum the square of the deviations and divide by the total number of data values minus one (n − 1), we will get the variance, i.e:

3.

According to Yakir (2011), dividing by n or by n − 1 only makes a difference if the size of the data is big. Once we get the variance, we can easily calculate the standard deviation which represents how far data values are from their mean. Standard deviation is the most important measure of the spread and is obtained by taking the square root of the variance: s = √ ❑ For the past couple of weeks, I would say I spent around 8 hours on this class. As the upcoming weeks require more study, I will spend extra hours over the weekends. My schedule of studying Statistics will look like this:

Days of the week

Thursd ay

Friday

Saturda y

Sunday

Monday Tuesda y

Wedne sday

Number s of hours spent on Statistic s

1.5

1.5

2.5

2.5

1.5

1.5

1.5

Reference: Yakir, B. (2011). Introduction to Statistical Thinking (With R, Without Calculus). Retrieved December 02, 2020, from https://my.uopeople.edu/pluginfile.php/1020851/mod_resource/content/4/IntroSta t.pdf...