Font Parag Chapter 3: Central Tendency 11.) In which situation(s) would you NOT
ID: 3319118 • Letter: F
Question
Font Parag Chapter 3: Central Tendency 11.) In which situation(s) would you NOT use the mean as the best measure of central tendency? a when using interval scales of measurement b. when all values in a distribution are able to determined c. when using ratio scales of measurement d when scores are skewed/extreme in value 12) On which scale of measurement is the mode most representative of a distribution of a ratio b. nominal c. interval d. none of the above For Questions 13 and 14 use the following population distributions and fill in the answer on your scantron corresponding to the letter for each distribution (ie. middle distribution is answer B 13) Which of the above distributions is negatively skewed? 14) Which of the above distributions is positively skewed? Chapter 4: Variability 15) All of the following apply to the concept of degres of freedom EXCEPT a n -1 scores in a sample distribution are free to vary b. it is used to calculate sample variability (NOT population variability) c. this term serves to increase sample variability d all scores in a sample distribution are free to vary 16) For a population with = 100 which value for the population standard deviation would cause x- 18 of 3825 wordsExplanation / Answer
11) When scores are skewed/extreme in value, mean is NOT best measure of central tendency
Explanation: If the data is having extreme large value, in that case mean is deviating
for example: we have weight data for 10 students with 60kg is average weight, if we add 11th students weight which is 150kg (uncertain) then mean value will be deviated from 60 kg to more value which actually doesnot give good interpretation about the entire data
12) Mode is the most representative of the NOMINAL distribution of the data
If you have categorical data say icecream flavour (chocolate, vanilla, strawberry) and want to draw most preferable flavour in that case mode will be good representative
13) Distribution A is negatively skewed; Since the tail of the distribution is more skewed on left side
14) Distribution C is positively skewed, Since the tail of the distribution is more skewed on right side