MH - Numerical + Statistic Summary

Numerical

nothing much... all formulas... just dun poke wrong, remember change degree to radian ;P


Statistic


Chapter 4
Central Limit Theorem : for a relatively large sample size, the sampling distribution of (Xbar) is approximately normal.  Do not need to consider the distribution of the population. The mean and standard deviation of the sampling distribution of (Xbar) is bla bla bla

• n>30 (large sample size)
• sample size+, behaves more like normal distribution, approximation better

2 tail test nid to divide critical value by 2

use t-distribution only when sample size <30 and population de standard deviation not given

type1 and 2 error makan sendiri

Chapter 5

most of the formula nid to memorize.. siez...

dependent and independent nid to determine by care... else will wrong...

y - dependent             x - independent

IMPORTANT !!!!

Correlation table, 5.2.1 nid to hafal !!!!!!!

5.3 need know how to explain

forecasting need to know how to interpret result

x% of variation in y can be explained by the variation in x


Chapter 6
One way ANOVA table(draw)
* need at least 3 population...
*always right tail test

R and Xbar chart (case2)


table 3,4,5,7,8,9,25




OUTCOME:
do till nose bleed... haha.. hands very sore... not hard but many traps... the most obvious is the question 5 variance part... and there is a question 5d ... I almost forgot there is a last question due to panic... used 10miniutes to finish the last question... shioknya ~


question 1b i didnt finish the Gauss elimination, instead I used calculator direct poke answer and write it down ~.~
1c not sure nid to draw R-graph onot... well.. heck care XD 


all the best guyz <3