abscissa  
absence rate  ȱ
absolute number  
absolute value  ֵ
accident error  żȻ
accumulated frequency  ۻƵ
alternative hypothesis  
analysis of data  
analysis of variance(ANOVA)  
arith-log paper  ֽ
arithmetic mean  
arithmetic weighted mean  Ȩ
assumed mean  ٶ
asymmetry coefficient  ƫϵ
average  ƽ
average deviation  ƽ
B
bar chart  ֱͼͼ
bias  ƫ
binomial distribution  ֲ
biometrics  ͳѧ
bivariate normal population  ˫̬
C
cartogram  ͳͼ
case fatality rate(or case mortality)  
census  ղ
central tendency  
chi-sguare(X2) test  
class interval  
classification  顢
cluster sampling  Ⱥ
coefficient of correlation  ϵ
coefficient of regression  عϵ
coefficient of variability(or coefficieut of variation)  ϵ
collection of data  ռ
column  У
combinative table  ϱ
combined standard deviation  ϲ׼
combined variance(or poolled variance)  ϲ
complete survey  ȫ
completely correlation  ȫ
completely random design  ȫ
confidence interval  䣬
confidence level  ˮƽˮƽ
confidence limit  ޣ
constituent ratio  ɱȣṹ
continuity  
control  
control group  
coordinate  
correction for continuity  У
correction for grouping  У
correction number  У
correction value  Уֵ
correlation  أϵ
correlation analysis  ط
correlation coefficient  ϵ
critical value  ٽֵ
cumulative frequency  ۻƵ
D
data  
degree of confidence  ŶȣŶ
degree of dispersion  ɢ̶
degree of freedom  ɶ
degree of variation  
dependent variable  Ӧ
design of experiment  ʵ
deviation from mean  
deviation from the mean  
diagnose accordance rate  Ϸ
difference with significance  
difference with significance  
discrete variable  ɢ
dispersion tendency  
distribution  ֲ
E
effective rate  Ч
eigenvalue  ֵ
enumeration data  
equation of linear regression  Իع鷽
error  
error of replication  ظ
error of type I  ʹ󣬵һ
error of type II  ʹ󣬵ڶ
estimate value  ֵ
event  ¼
experiment design  ʵ
experiment error  ʵ
experimental group  ʵ
extreme value  ֵ
F
fatality rate  
field survey  ֳ
fourfold table  ĸ
freguency  Ƶ
freguency distribution  Ƶֲ
G
Gaussian curve  ˹
geometric mean  ξ
grouped data  
H
histogram  ֱͼ
homogeneity of variance  
homogeneity test of variances  Լ
hypothesis test  
hypothetical universe  
I
incidence rate  
incomplete survey  ȫ
indepindent variable  Ա
indivedual difference  
infection rate  Ⱦ
inferior limit  
initial data  ԭʼ
inspection of data  
intercept  ؾ
interpolation method  ڲ巨
interval estimation  
inverse correlation  
K
kurtosis coefficient  ϵ
L
latin sguare design  
least significant difference  С
least square method  СƽС˷
leptokurtic distribution  ֲ̬
leptokurtosis  ̬Ͷ
linear chart  ͼ
linear correlation  ֱ
linear regression  ֱ߻ع
linear regression eguation  ֱ߻ع鷽
link relative  
logarithmic normal distribution  ֲ̬
logarithmic scale  ߶
lognormal distribution  ֲ̬
lower limit  
M
matched pair design  
mathematical statistics  ͳƣѧ
maximum value  ֵ
mean  ֵ
mean of population  
mean square  
mean variance  
measurement data  
median  λ
medical statistics  ҽѧͳѧ
mesokurtosis  ̬
method of grouping  鷨
method of least squares  СƽС˷
method of percentiles  ٷλ
mid-value of class  ֵ
minimum value  Сֵ
mode  
moment  
morbidity  
mortality  
N
natality  
natural logarithm  Ȼ
negative correlation  
negative skewness  ƫ־
no correlation  
non-linear correlation  
non-parametric statistics  ǲͳ
normal curve  ̬
normal deviate  ̬
normal distribution  ֲ̬
normal kurtosis  ̬
normal population  ̬
normal probability curve  ̬
normal range  Χ
normal value  ֵ
normality test  ̬Լ
nosometry  
null hypothesis  Ч裬
O
observed unit  ۲쵥λ
observed value  ۲ֵ
one-sided test  
one-tailed test  β
order statistic  ˳ͳ
ordinal number  Ⱥ
ordinate  
P
pairing data  
parameter  
percent  ٷ
percentage  ٷٷ
percentage bar chart  ٷͼ
percentile  ٷλ
pie diagram  ԰ͼ
placebo  ο
planning of survey  ƻ
point estimation  
population  壬˿
population mean  
population rate  
population variance  巽
positive correlation  
positive skewness  ƫ̬
power of a test  նȣЧ
prevalence rate  
probability  ʣ
probability error  żȻ
proportion  ȣ
prospective study  ǰհо
prospective survey  ǰհ
public health statistics  ͳѧ
Q
quality eontrol  
quartile  ķλ
R
random  
random digits  
random error  
random numbers table  Ŀ
random sample  
random sampling  
random variable  
randomization  
randomized blocks  ,λ
randomized blocks analysis of variance  λ鷽
randomized blocks design  λ
randomness  
range  ȫ
range of normal values  ֵΧ
rank  ,ȴ,ȼ
rank correlation  ȼ
rank correlation coefficent  ȼϵ
rank test  ()
ranked data  ȼ
rank-sum test  Ⱥͼ
rate  
ratio  
recovery rate  
registration  Ǽ
regression  ع
regression analysis  ع
regression coefficient  عϵ
regression eguation  ع鷽
relative number  
relative ratio  Ƚ
relative ratio with fixed base  
remainder error  ʣ
replication  ظ
retrospective survey  ع˵
Ridit analysis  յλ
Ridit value  յλֵ
S
sample  
sample average  
sample size  
sampling  
sampling error  
sampling statistics  ͳ
sampling survay  
scaller diagram  ɢͼ
schedule of survey  
semi-guartile range  ķλ
semi-logarithmic chart  ͼ
semi-measursement data  
sensitivity  
sex ratio  Ա
sign test  ż
significance  ,
significance level  ˮƽ
significance test  Լ
significant difference  
simple random sampling  
simple table  򵥱
size of sample  
skewness  ƫ̬
slope  б
sorting data  
sorting table  
sources of variation  Դ
square deviation  
standard deviation(SD)  ׼
standard error (SE)  ׼
standard error of estimate  ׼
standard error of the mean  ı׼
standardization  ׼
standardized normal distribution  ׼ֲ̬
standardized rate  껯
statistic  ͳ
statistical induction  ͳͼ
statistical inference  ͳƹ
statistical map  ͳƶ
statistical method  ͳƵͼ
statistical survey  ͳƷ
statistical table  ͳƵ
statistical test  ͳƱ
statistical treatment  ͳƼ
statistics  ͳѧ
stochastic variable  ֲ
stratified sampling  ͳƴ
sum of cross products of  
sum of ranks  Ⱥ
sum of sguares of deviation from mean  ƽ
superior limit  survivalrate
symmetry  Գ()
systematic error  ϵͳ
systematic sampling  е
T
tabulation method  Ƿ
t-distribution  tֲ
test of normality  ̬Լ
test of one-sided  
test of one-tailed  β
test of significance  Լ
test of two-sided  ˫
test of two-tailed  ˫β
theoretical frequency  Ƶ
theoretical number  
treatment  
treatment factor  
treatment of date  ݴ
t-test  t
two-factor analysis of variance  ˫ط
two-sided test  ˫
two-tailed test  ˫β
type I error  һ
type II error  ڶ
typical survey  ͵
U
u test  u
ungrouped data  δ
universe  ,ȫ
upper limit  
V
variable  
variance  ,
variance analysis  
variance ratio  
variate  
variation coefficient  ϵ
velocity of development  չٶ
velocity of increase  ٶ
W
weight  Ȩ
weighted mean  Ȩ
Zzero correlation  
