numerical summary of measures

Question 1

frequency distribution from continuous data are defined by

Answer 1

types of descriptors aka parameters
-central tendency
-dispersion

Question 2

Defined as the value used to represent the center or the middle of a set of data values.

Answer 2

central tendency

Question 3

it locates observation on a measurement scale

Answer 3

central tendency

Question 4

Describes the spread of values in a given data set

Answer 4

dispersion

Question 5

Suggest how widely spread out the observations are

Answer 5

dispersion

Question 6

the mean bar is used in

Answer 6

quantitative and dichotomous data

• the mean provides a single no. that summarizes the data, making it easier to understand and compare datasets

Question 7

it is the average value or the sum of all the observed values divides by the total no. of observation

Answer 7

mean

Question 8

the middle observation data

Answer 8

median

Question 9

the most commonly observed value

Answer 9

mode

Question 10

how can the data be misinterpreted in mean

Answer 10

due to the extreme value, the data wiil not fall in the middle

Question 11

how do u find mean, median and mode in excel

Answer 11

mean: =AVERAGE
median: =MEDIAN
mode: =MODE

Question 12

measure of dispersion is aka

Answer 12

measures of spread

Question 13

what can u infer if your measures of spread is
dispersed:
clumped:

Answer 13

dispersed: kalat kalat not near each other
clumped: near the average value

Question 14

it is a statical measurement of the spread between numbers and measures how far each number in the set is from the average

Answer 14

variance

Question 15

it is the average amount of variability in the dataset and how far each value lies from the mean

Answer 15

standard deviation

Question 16

the difference between observed value and the expected value

Answer 16

mean deviation

Question 17

mean deviation is aka

Answer 17

deviation in statistics

Question 18

it is the average deviation of a data point from the mean, media or mode of the data set

Answer 18

mean deviation

Question 19

how to find range

Answer 19

subtract highest value and lowest value

*used in only small data

Question 20

how can the range be misinterpreted

Answer 20

have a high chance to have a large outlier as the larger values is taken into account

Question 21

N-1

Answer 21

degrees of freedom
*to have room for error

Question 22

standardize the spread

Answer 22

coefficient of variation

Question 23

values that spilt sorted data or a probability distribution into equal parts

Answer 23

quantiles

Question 24

a statical term that describes a division of observation into four defined intervals based on the values oof the data and how they compare to the entire set of observations

Answer 24

quartiles

Question 25

in descriptive statistics, the range of data set is size of the narrowest interval which contains all the data

Answer 25

range and IQR

Question 26

what measures of central tendency is considered robust to extreme values

Answer 26

median extreme values is aka outliers. the median ignore the extremes and even if u change the most extreme values dramatically, the median often stays the same or changes very little. median remains stable despite an extreme value, while the mean is heavily affected