6.2 Normal Model Flashcards
Percentile meaning
Relative frequency
Any value (x/ value of NV) within this range (10%) isn’t necessarily representative of it as a whole, but GAUGED through its representation of being a range OF that value that is AT or BELOW
10% of ALL values of NVs are at or below the GIVEN value
Gauging the closeness between the GIVEN value and the rest of the values
!!!
The range contains the given but it also represents the stopping point, where the OTHERS (all) fall, and where the OTHERS are placed above it (subtract percentile from 100%)
!!! REMEMBER WHEN SUBTRACTING FROM 100- each number HAS to have a % after it on calc
Standard deviation and relative frequency
Super tall height of a curve means SMALL standard deviation (all the girls are like each other- KW ALL/ a lot of dots)
Symbols of normal model
Probability- the area under the curve. THIS IS ABT POP Use empirical rule or stat crunch
For continuous NVs
Mu- Mean of a probability distribution
(X_ is about a data set)
Sigmas- SD of probability distribution ( s for SD was for sample)
Normal curve= N(mean, SD) (N is normal distribution)
!!!
With percentiles, we are no longer looking at samples, but probability distribution (not exactly ALL either)
!!!! N(96, 3) = normal mode is 96 mean and 3 SD
Review for UD
Mean meaning
SD meaning
Median meaning
Z scores- SDs but not in number form (3.5= 1 SD or z-score)
Rates
Finding probability (percentage, not exactly percentile) tips
They’ll ask for the translation of the z-scores to standard deviation values (mean +- SD )
FP - also what percentage is greater/ less than x value (not percent)-> 100-95
FP *for ER (falling on tick mark)- always divide in half because it asks for ONE side
FP - between these two x values? -> use the empirical rule section values
!!! Can be in decimal form and not in percent?? (5, B)
Empirical rule section values
2.35% (2.5) 13.5% 34%
- may need to straight up add 13.5 and 34 to get a probability (47.5%)
100- 99.7
Is about 0% when you divide the difference by 2 BUT WHEN NOT MULTIPLE CHOICE- actual percent (0.15%-> NOT 15%- see first card)
Not everything fits ER- statcrunch
When the x-values dont land exactly on a tick mark (SD)
Stat- calc- normal
!!!!
“X)
* probability of that number to be more or less THAN THE MEAN (X)
When you want the other side (less but now more), 1 whole distribution - given decimal (for other side)
BETWEEN- switch to between
* make sure its lower to upper (as it reads in question)
Two values on graph
“Between -2 SDs and 2 SDs”
Finding probability/ percentile from GIVEN measurement
Measurement is given-> put in parentheses, but since this translates to definition of percentile, make sign <_ (less than)
Data value inquired
x
The value they want you to find probability of IT being above and below the mean (the average/ everyone else’s score)
the mean is less than or equal to the value= the average of the scores (proportion-> successes/ total) is less than or equal to it
THAT is the probability (being less or more), all based on the TOI proportion
Percentile (finding percentile)- we dont find percentile without SC, just percentage
FM- “You are in the 75th percentile”- They either score the same as you or below (you beat out 75% of the people)
- “75 percent taller or shorter than that person/ NV”
- IMP !!!!! Need include in explanation that 75th percentile= people here are 75% more able to TOI (context) than pop
- OR
(Find those that are above by calculation)
FM- “Find exact value at 90th percentile”
FP- “shorter/ bigger than x-value” -> find probability (%) LESS or MORE than 2.4”
!!! FP- “At least as long as” -> actually MORE . . . >_
FM- “Top 15%” = 85th percentile BUT you MUST make it .15 and flip the sign to more (>) !!! So think of TOP (>) 15% (0.15)
FP-> “Scored HIGHER than what percentage” -> X<_ score
!!!We use less than _ its teh standard percentile meaning . We found the percentile by inputting less than, so everyone underneath is who they scored HIGHER than
Probability vs percentile
Probability is the percentage (percentile area)
Percentile trick question (2, B) FM
FM- “15 percent of all men 20 years and up are above what height?”
Its just what youre thinking !
Since percentiles (percents) represent BELOW and equal, since this asks for ABOVE, just find the “other side” -> 100-15% -> the number at the 85th percentile/ they are in the 85th percentile because they taller than everyone below them (under 85th)
When i thought it was 100% (2, C and D)
FP- It was actually 90% which makes sense because like just because they’re literally between all the values (heights), the first percent is 5, and the last is 95, so 5+5= 10 -> 100-10= 90
When its not cut and dry-> start at 5th but dont count IT as a 5%, count its jump from 5th to 10th as the 5%, repeat til get to 50th
So the number that represents the percentile is the starting and ending point respectively for “betweens”
!!! So 5th is “this number and below” OR just “below, this percentile can also classify explicitly ONLY those below it, not IT”