Quiz 02_Review

Question 1

alleged true extent of variation in the sample

Answer 1

standard deviation

Question 2

mathematically equal to the product of the sample size and the sample mean

Answer 2

total score

Question 3

the characteristic in a dataset that is used to estimate the standard error of the kurtosis

Answer 3

kurtosis

Question 4

this is what we use as a divisor to address estimation biases whenever we compute for a central statistic in a sample

Answer 4

degrees of freedom

Question 5

tells us the number of times the amount of variation observed from an individual is when compared to the typical amount of variation in the dataset

Answer 5

squared standardize—

Question 6

amount of variation from the mean that each participant in a sample is expected to show

Answer 6

variance

Question 7

the total amount of variation in the dataset

Answer 7

sum of squares

Question 8

number of units that the score of an individual is an overestimation or an underestimation of the mean

Answer 8

deviation from the mean

Question 9

the expected score of an individual on a property given that he/she is a homogenous sample

Answer 9

mean

Question 10

the attribute in an ordinal dataset where 50% of the observations are below it

Answer 10

median

Question 11

tells us the typical amount of symmetry in a dataset

Answer 11

skewness

Question 12

squared mean-centered observations

Answer 12

squared deviation from the mean/squared errors

Question 13

peakedness in the distrubution of a dataset

Answer 13

kurtosis

Question 14

the nominal attribute that has the highest frequency of occurrence in the dataset

Answer 14

mode

Question 15

tells us the number of standard deviations a certain score is above or below the center of distribution

Answer 15

standardized score (z-score)

Question 16

typical extent of variation in a dataset

Answer 16

standard deviation

Question 17

theoretically estimated true amount of variation in a dataset

Answer 17

variance

Question 18

number of units of discrepancy between the empirical and the theoretical score of each individual in a sample

Answer 18

deviation from the mean/error

Question 19

number of observations allowed to vary when estimating a value of a sample statistic

Answer 19

degrees of freedom

Question 20

gravitational center of the dataset

Answer 20

mean

Question 21

the product of the (n-1) and the variance

Answer 21

sum of squares

Question 22

amount of variation from the mean observed from an individual in a sample

Answer 22

squared deviation from the mean/squared errors

Question 23

actual attributes used to describe the property of an individual

Answer 23

raw score

Question 24

an aggregation of all the observed attributes in a data set

Answer 24

total score

Question 25

number of attributes actually observed in the sample

Answer 25

sample size

Question 26

the height of a distribution

Answer 26

kurtosis

Question 27

the number of observations in the dataset that is not equal to the mean

Answer 27

squared standardized

Question 28

tells number of times the difference between an observation and the sample mean is to the typical difference that one would naturally observe in the dataset

Answer 28

standardized score (z-score)

Question 29

average degree/amount of how much the first half of a sample distribution is a mirror image of the other half

Answer 29

skewness

Question 30

the middle score in a non-normal distribution

Answer 30

median