Q. The sum of values of data is divided by total number of values is used to calculate

View solution

Q. The difference of mode and mean is equal to

View solution

Q. If the mean is 11 and the median is 13 then the value of mode is

View solution

Q. If the central tendency is found by using whole population as input data then this is classified as

View solution

Q. The criteria of inferential statistics which considers the sum of squared deviations is classified as

View solution

Q. In a negative skewed distribution, the order of mean, median and mode is as

View solution

Q. The measure which describes the detailed characteristic of whole data set is classified as

View solution

Q. The extent to which the values are dispersed around the central observation is considered as

View solution

Q. The manner in which the geometric mean, harmonic mean and arithmetic mean are related is as

View solution

Q. The mode is the best measure of tendency if the analysis is

View solution

Q. In the deciles, the central tendency median to be measured must lie in

View solution

Q. The type of central tendency measures which divides data set into ten equal parts is classified as

View solution

Q. In statistics out of 100, the marks of 21 students in final exams are as 90, 95, 95, 94, 90, 85, 84, 83, 85, 81, 92, 93, 82, 78, 79, 81, 80, 82, 85, 76, 85 then mode of the data is

View solution

Q. The measure of central tendency which is calculated by considering the most frequent occurring value as central value is classified as

View solution

Q. The number of observations are 11 and the value of arithmetic mean is 19 then sum of all values is

View solution

Q. In arithmetic mean, the sum of deviations of all the recorded observations must always be

View solution

Q. The distribution whose outliers are higher values is considered as

View solution

Q. The arithmetic mean is 25 and all the sum of observations is 350 then the number of observations are

View solution

Q. Considering all the observations of arithmetic mean, the sum of squares of deviations must be less than

View solution

Q. In a set of observations, the unusual lower and higher values are called

View solution