Вивчаючи статистику

Variable—A characteristic of an item or an individual that will be analyzed using statistics.
Variance—The square of the standard deviation.
Variation—The amount of dispersion, or “spread,” in the data.
Y intercept—The value of Y when X = 0.
Z score—The difference between the value and the mean, divided by the standard deviation.
KEY VOCABULARY INDEX

Account (for) 8
allow 11
alter 12
annual 6
available 7
based on 5
be concerned with 1
benefit 5
be familiar with 1
branch 1
by accident 5
calculate a percentage 10
cause 11
chart 8
clarify 10
column 11
concise 11
combine 8
come in handy 2
compile 7
complicated 10
compose of 5
concern 4
conclude 8
consider5
consist of 5
contain 3, 11
cope with 2
deal with 2, 5
deliberately 5
depend on 2, 3
derive from 5
destination 4
determine 7
differ 6
distinguish 6
(no) doubt 12
draw a conclusion 1
enable 8, 10, 11
entire 8
equal 7
express 4
fixed-term 6
focus on 5
framework 5
frequency 11
gather 1
grasp 11
gut feeling 2
highlight 4, 8
improve 7
include 11
increase 8
influence 10
(for) instance 3
intend 7
interested in 4
interpret 7, 11, 12
involve 7
item 4
join 12
launch (a product) 2
likely to do smth 3,
make sense of 2, 9
move on 10
obtain 1
occur 11
outnumber 9
overcome 12
overall 8
own 4
permanent 6
provide smb with 2, 5
rectangle 8
refer to 1, 5
reliable 2
remove 5
require 11
(in) response to 12
reveal 8
row 11
sensibly 7
separated from 3
significant 10
sort 8
source 11
stay the same 10
straight 12
subsequently 9
summarize 9, 11
survey 7
target v 7
tend to do 10
total (number) 11
value 10
vary 3
undertake 5
work out 9
worth doing sth 9

References

1. 
   Beninger, J. M., and D. L. Robyn. 1978. “Quantitative Graphics in Statistics.” The American Statistician 32: 1–11.
   
2. 
   Berenson, M. L., D. M. Levine, and T. C. Krehbiel. Basic Business Statistics: Concepts and Applications, Ninth Edition. Upper Saddle River, NJ: Prentice Hall, 2004.
   
3. 
   Brown R. B., Saunders M. Dealing with Statistics: what you need to know.
   
4. 
   Cochran, W. G. Sampling Techniques, Third Edition. New York: Wiley, 1977.
   
5. 
   David M. Levine, David F. Stephan. Even You Can Learn Statistics. A Guide for Everyone Who Has Ever Been Afraid of Statistics. Upper Saddle River, NJ: Prentice Hall, 2004.
   
6. 
   Dooley J., Evans V. Grammarway. Express publishing 2008
   
7. 
   Downing, Douglas and Clark, Jeffrey, Statistics the Easy Way – 3rd Edition. Barron’s Educational Series, Hauppauge, NY, 1997.
   
8. 
   Evans V. Round-Up 5,6. English grammar practice. Pearson Education Limited – Addison Wesley Longman Limited 2002
   
9. 
   Gitlow, H. S., D. M. Levine. Six Sigma for Green Belts and Champions. Upper Saddle River, NJ: Financial Times – Prentice Hall, 2005.
   
10. 
    Graham, Alan, Teach Yourself Statistics – 2nd Edition. Contemporary Books, Chicago, IL, 1999.
    
11. 
    Jaisingh, Lloyd, Statistics for the Utterly Confused. McGraw-Hill, New York, NY, 2000.
    
12. 
    Levine, D. M., T. C. Krehbiel, and M. L. Berenson. Business Statistics: A First Course, Third Edition. Upper Saddle River, NJ: Prentice Hall, 2003.
    
13. 
    Levine, D. M., D. Stephan, T. C. Krehbiel, and M. L. Berenson. Statistics for Managers Using Microsoft Excel, Fourth Edition. Upper Saddle River, NJ: Prentice Hall, 2005.
    
14. 
    Levine, D. M., P. P. Ramsey, and R. K. Smidt, Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. Upper Saddle River, NJ: Prentice Hall, 2001.
    
15. 
    Moore, David S., Statistics: Concepts and Controversies – 5th Edition. W. H. Freeman & Co., New York, NY, 2001.
    
16. 
    Rumsey D. Intermediate Statistics For Dummies. Wiley Publishing, Inc., 2007.
    
17. 
    Sincich, T., D. M. Levine, and D. Stephan, Practical Statistics by Example Using Microsoft Excel and Minitab, Second Edition. Upper Saddle River, NJ: Prentice Hall, 2002.
    
18. 
    Stephens, Larry J., Beginning Statistics. Schaum’s Outline Series, McGraw-Hill, New York, NY, 1998.
    
19. 
    Swan M., Walter C. How English Works. A grammar practice book. Oxford University Press, 2004
    

Content
UNIT 1. Why you need to use statistics in your research ……………….4
PRESENT TENSES. Present Simple. Present Continuous. State Verbs.......................................7
Unit 2. A very brief history of statistics…………………………..………..…9
PAST TENSES І. Past Simple. Past Continuous. Used to/ would…………..…...….12
UNIT 3. variable and constant. discrete and continuous………….…..13
present perfect. Present perfect continuous…………………………………..15
UNIT 4. cardinal and ordinal. population and sample………………..….17
PAST TENSES ІІ Past Perfect. Past Perfect Continuous……………………………19
Unit 5. Misuses of statistics……………………………………………………...…21
FUTURE 1 Plans, Intentions and Predictions: Present Continuous; Going to; Will...24
Unit 6. Basic statistical vocabulary……………………………………..….…26
FUTURE 2 Present Simple; be about to; future continuous; future perfect…………29