Nhn nh ng sai? Gii thch
1. Trong thi k khng hong, thay v m rng sn xut, chng ta nn tp
trung vo hc tp? ng.Vn dng 2 nguyn l chi ph ca mt th l ci m
bn t b c c n v con ngi phn ng vi cc ng c khuyn
khch.Xem xt chi ph c hi ca vic i hc (hc ph, thi gian,.).Trong th
Conduct and Interpret a Cluster
Analysis
What is the Cluster Analysis?
The Cluster Analysis is an explorative analysis that
tries to identify structures within the data. Cluster
analysis is also called segmentation analysis or
taxonomy analysis. More spec
Repeated Measures ANOVA
Introduction
Repeated measures ANOVA is the equivalent of the one-way ANOVA, but for related, not independent groups, and is the
extension of thedependent t-test. A repeated measures ANOVA is also referred to as a within-subjects A
Chi-Square Goodness-of-Fit Test
Introduction
The chi-square goodness-of-fit test is a single-sample nonparametric test, also referred to as the one-sample goodness-offit test or Pearson's chi-square goodness-of-fit test. It is used to determine whether th
ANCOVA
Introduction
The ANCOVA (analysis of covariance) can be thought of as an extension of the one-way ANOVA to incorporate a
"covariate". Like the one-way ANOVA, the ANCOVA is used to determine whether there are any significant differences
between the
Chi-Square Test for Association
Introduction
The chi-square test for independence, also called Pearson's chi-square test or the chi-square test of association, is used to
discover if there is a relationship between two categorical variables.
Assumptions
o
Dependent T-Test
Introduction
The dependent t-test (called the paired-samples t-test in SPSS Statistics) compares the
means between two related groups on the same continuous, dependent variable. For
example, you could use a dependent t-test to understand
Partial Correlation
Introduction
Partial correlation is a measure of the strength and direction of a linear relationship between two continuous variables
whilst controlling for the effect of one or more other continuous variables (also known as 'covariate
Discriminant Analysis
This page shows an example of a discriminant analysis in SPSS with footnotes explaining the output. The data
used in this example are from a data file,discrim.sav, with 244 observations on four variables. The variables
include three
Correlation and Regression
True/False Questions
1. The product moment correlation, r, is an index used to determine whether a linear, or straight-line,
relationship exists between X and Y. It indicates the degree to which the variation in one variable, X,
Pearson Product-Moment Correlation
What does this test do?
The Pearson product-moment correlation coefficient (or Pearson correlation coefficient, for short) is a measure of the
strength of a linear association between two variables and is denoted by r. B
1. Nhn nh ng sai. Ti sao?
- Lut cu nhn nh khi gi tng th cu gim.
- Mt s tng thu nhp s dch chuyn ng cu tivi v bn tri.
Sai.TV l hng ho thit yu or xa x.v bn phi.
- Nu A, B l hng ha thay th, s tng gi ca A lm dch chuyn
ng cu ca B v bn tri. Sai.Bn phi.
- Mt s t
10/09/2016
CHNG 1
TNG QUAN V
KINH T VI M
NI DUNG
1. Mt
s khi nim
2. Cc
nguyn l kinh t hc
3. Cc
cng c phn tch kinh t
4. M hinh ng gii han kha nng
san xut
1. Mt s khi nim
1.1. Khan him ngun lc
Tt c ti nguyn hoc ngun lc trong
nn kinh t ca quc gia lun khan hi
1. Cng vi s tng ca gi, cu ca hng ha km co dn hn vi thi gian?
2. Co dn ca cu theo gi khng thay i dc theo ng cu tuyn tnh?
3. Nu bn thch n tht g v tht vt nh nhau th co dn cho ca tht g v
tht vt l dng? NG.Hng ho thay th.
4. Nu bn chi tiu rt t cho cha bnh so vi
Two-way ANOVA
Introduction
The two-way ANOVA compares the mean differences between groups that have been split on two
independent variables (called factors). The primary purpose of a two-way ANOVA is to
understand if there is an interaction between the tw