Question
Problem I - USING YOUR first name, middle name, and last name in capital letters. The letters involved in your full name would comprise your
Problem I - USING YOUR first name, middle name, and last name in capital letters. The letters involved in your full name would comprise your data set. In case you do not have a middle name, or you do not want to include your real middle name, make one up.Then, do the following
Write your data in order from A to Z in the blocks provided below and double check. For example, the student whose complete name is First Middle Last would have the following 15 ordered letters:
A DDE FI I L LMRS S T T
Your full name: DARNELL DURELL LEE
Letters in your name, in alphabetical order with existing repetitions:
ADDEEEELLLLLNRRU
Is your data set a sample or a population? Support your answer briefly.
My data set is a sample because it doesn't contain letters from no other person's name except my own. A population could be considered all the students in the class.
Considering your answer to the previous question, show the size of the data set under consideration using the appropriate symbol in statistics: n = ...or N = ...
What is (are) the mode(s) within your data set, if any?
Is your data set unimodal, bimodal, trimodal, multimodal?
What is the frequency of the mode(s)?
If mode is a measure of central tendency, what can you say about your data?
How can the "dispersion" or "variability" within your data be measured?
Construct a complete, five-column "Frequency Distribution Table" for your ordered data from Part (1) above.You should have a descriptive title for your table and use the following headings for your table columns:
Letter, Frequency (F), Relative Frequency (RF), Cumulative Frequency (CF), Cumulative Relative Frequency (CRF).
While populating the table, whenever a numerical value is not a whole number, present the value in decimal format with two decimal places, after rounding the value correctly.Please check your table to make sure that the values are correct.The total under F should be the data set size. Depending on the extent of round-off error(s), the total under RF should be 1, or very close to 1. The last value under CF should be the data set size.
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