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Which of the following are the correct statements with regard to positive skewed distribution? (A) Mean > Media > Mode (B) Mean < Median < Mode (C) Q3 - Median < Median - Q1 (D) Q3 - Median > Median - Q1 (E) Mean = Median = Mod Choose the correct answer from the options given below:
Consider the statements given below- A: Relationship between Mean, Median and Mode is : Mode = 3 Median – 2 Mean B: It is also possible that there can be more than one mode or no mode for a data set. C: In a data set, half of the data points are smaller than the median and half of the data points are larger. Which of the above statement(s) is/are TRUE?
Which two of the following statements are true?  a) Skewness studies the flatness or peakedness of the distribution  b) A positively skewed distribution curve is stretched more to the right than to the left  c) On the basis of empirical relationship between mean, mode and median for moderately asymmetrical distribution, Karl Pearson's coefficient of skewness can be measured by 3 (Mean -Median) divided by Standard Deviation  d) If mean < mode, the distribution is positively skewed  Choose the correct option from those below: 
The maximum weight lifted by 750 participants are recorded and it is found that the Mean and the Median of this distribution are both more than the Mode. If the Mean and the Median are 184 Kg and 178 Kg respectively, then which of the following is the most likely value of the Mode (in kg).
What is the formula for the median of Grouped data? * h b) Median = L + * h c) Median = L + + h d) Median = L * * h
If Mean is M, Median is Md, Mode is Mo, what is the relation between Mean, Median and Mode? 
hat will be the output of the following R code?
> centre <- function(x, type) {+ switch(type,+ mean = mean(x),+ median = median(x),+ trimmed = mean(x, trim = .1))+ }> x <- rcauchy(10)> centre(x, "mean")
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
Mean of an observation is 2 times of mode. If median is 5, what is the average of mode and median of the observation?
When two values of data are changed, the mode of the data changes from 31 to 45. What will be the new mean of the data if the mean with unchanged values was 52 and the median remains the same?