Math 151 , Sp.'07, Monday Feb.19, Day 10 After Class Hit Reload...

HW Day 10 To do for Wednesday:  Ch. 3 continued. Normal & 68-95-99.7% rule pp.70-74. Use Normal Density Applet curve to check concepts and computation. "Check" problems p. 84: 3.15, 16, 17, 18;19, 20. //Standardizing to standard normal pp.74-76, "Check" 3.21. Next: We WILL use table A.   Moore doesn't separate out reading the z-table in the following; focus on just the z-table parts on first reading:  p. 76-80, Cum. proportion and  normal.  "Check" 3.22, 3. 23. "Backward" from prop. to z pp. 81-83.  We'll revisit and learn to deal with x's.We WILL use table A.   
Hand in  (Normal templates--you can count squares--may help!)
p. 74 3.5 Women's hts, sketch
p. 74 3.6  Normal, women's hts--68-95-99.7 rule.
p. 74 3.7 pregnancies--68etc rule (This distribution may not apply to planned births, of which we now know there are a lot!)
p. 88, 3.51 check 68-95-99.7 rule , using applet: Normal Density Curve on your CD or at   http://bcs.whfreeman.com/bps4e.
- - - - - Standardize: Draw and label the normal density curve, the "raw" axis and the "z" axis together, mark your value(s), as well as calculating.
p. 76, 3.9 mens & women's heights
p. 86, 3.33 ACT/SAT Jacob and Emily (Info is above #3.32)

----- Using table with "z"'s--standard normal.---------
Table use--z: Always sketch a normal curve first, mark the area you are looking for!  Do these with the Applet: Normal Density Curve on your CD or at   http://www.whfreeman.com/bps/, and check with your table answers.  (Uncheck the 2-tail box for most uses. Mean 0, s.d. 1) 
  p.80 3.10 z's to proportions, using Table A.
= = Postpone all the rest!= = = = =
"Backward"--z :Always sketch a normal curve first, roughly mark the proportion=area you are given. 
p.86, 3.13 (backward z) Do with table, check using Applet: Normal Density Curve on your CD or at   http://www.whfreeman.com/bps/.
p. 89, 3.52  Quartiles of normal dist.    Use the Applet and also, use table A to find the quartiles.  Your answers may differ in the second decimal place because the Applet only goes by .02's on the z-axis --.64, .66, .68... and Table A goes by .01's.

But start the following, using the APPLET only--keeping your paper to complete with the next assignment.
= = = =  Using table with "x"'s--"raw" values. = = = =
Begin these by drawing and labeling the appropriate normal curve for each question, leaving space for computation.  Normal templates-may help. Then use the Applet: Normal Density Curve on your CD or at   http://www.whfreeman.com/bps/. to find the required values.  Write these on your paper.  Next, calculate the values using Table A.  Your answers from each method should be very close (the Table gives a bit more accuracy than the Applet.)
p. 87, 3.37 Jacob's score, and 3.39 top score. Mean, s.d. are before 3.32 on p. 86.
p. 87, 3.46 surprising difference in tails
 A. , What proportion of pregnancies last 310 days or more? Find Mean and s.d. in p.74, 3.7 (see below **) 
 p. 80-81 3.11 and 3.12 (locomotive adhesion, 2 dist's) 
-Postpone these too:------- "Backward Normal"-----------
Begin these by drawing and labeling the appropriate normal curve for each question, leaving space for computation. 
Normal templates-may help. Then use the Applet: Normal Density Curve on your CD or at   http://www.whfreeman.com/bps/. to find the required values.  Write these on your paper.  Next, calculate the values using Table A.  Your answers from each method should be very close (the Table gives a bit more accuracy than the Applet.)
p. 83, 3.14 IQ test
p. 87, 3.41 Abigail, top 20%.  Mean, s.d. are before 3.32 on p. 86.
p. 87, 3.42  quartiles  Mean, s.d. are before 3.32 on p. 86.

p. 179, 7.27 breaking bolts, (a, b +).  For (a), think carefully about which side of 90 you want: Does a bolt that breaks at 95 ksi qualify?  Does a bolt that breaks at 85 ksi qualify?   ALSO:  If they test every bolt and  throw away all bolts that break at 70 ksi or below, what proportion do they throw away?

Read, to discuss  Optional (more practice) 
 


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p. 75 3.8  SAT & ACT  (Standardize)
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p. 86 3.30 z's to proportions
-------------------
  Above for Wednesday

"Backward" 
p. 86, 3.31 (backward z)
p. 89, 3.53
--------------------





p. 87, 3.43, quintiles Mean, s.d. are before 3.32 on p. 86.  Quintiles are used by the government to report much economic census data.
 

**[In 1973] the following item appeared in Dear Abby's column:
     Dear Abby: You wrote in your column that a woman is pregnant for 266 days. Who said so? I carried my baby for ten months  and five days, and there is no doubt about it because I know the exact date my baby was conceived. My husband is in the Navy  and it couldn't have possibly been conceived any other time because I saw him only once for an hour, and I didn't see him again  until the day before the baby was born. I don't drink or run around, and there is no way this baby isn't his, so please print a retraction about that 266-day carrying time because otherwise I am in a lot of trouble.
                                                                               San Diego Reader
Abby's answer was consoling and gracious but not very statistical:

     Dear Reader: The average gestation period is 266 days. Some babies come early. Others come late. Yours was late.

The question here is not whether the baby was late. That fact is already known. At issue is the credibility of the length of the delay. Ten months and five days is approximately 310 days, which means that the pregnancy exceeded the norm by 44 days. [How unusual is that?]


Exams not finished yet--sorry!
Normal distribution.  
These are notes for "all"of Ch. 3.  See how far we get!
 Handout:   Normal Templates:
you can count squares for approximate answers using these density curves.
 Introduction Day 7
, using 68-95-99.7 rule, standardizing. 
   Applet: Normal Density Curve
  http://bcs.whfreeman.com/bps4e

Show: "Quincunx" falling bead model for Normal distribution--small independent influences.
 
 ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ Standard normal table use~ ~ ~ ~ ~ ~ ~ ~ ~ ~
Standard Normal table use.  Our tables give area to the left of a z value (Cumulative Proportions)
Using standard normal table:  See text p. 76-80.  Table A,  p.684-5.  Better Table A (Excel)
       z |  .00     .01     .02 .....
      ...|
    -2.4 | .0082   .0080   .0078 ....

      
...|
     1.4 | .9192   .9207   .9222
   P(z < 2.40) = .0082,   P(z < -2.41) = .0080  P(z < -2.42) = .0078
                                              ?z has more than 2 dec. places?  Round to 2.

    Sketch the density, mark the area you're looking for.
    Figure out how to get it using areas to the left of one or more z-values.
        Think cutting up paper bell-curves. (Remember whole area is 1.)

Example:  Proportion of observations between 0.5 and 1.4  P(0.5 < z <1.4) =
            Proportion of observations below 1.4  minus Proportion of observations below 0.5 
               P (z < 1.4)  -  P(z < 0.5)  = .9192 - .6915 = .2277

.bell curves. Use 202x515 pixels to print.


Example:  Proportion of observations above  0.5,    P( z > 0.5) =
                ONE minus proportion of observations below 0.5,   1 -  P( z < 0.5) = 1-.6915 = .3085
. 

Start here Wednesday
Reading table backward:
  Table A (Excel)
What z value has area ..... to the left/right of it?
        Sketch  roughly.
        Restate (if needed) as "What z value has area A to the LEFT of it."
        Look in body of table for the value closest to A.
        Go to edge(s) of table to find what z that goes with.
Example:  "What z value has 10%  of the observations above it?"  This is the same z as the one for:
        "What z value has 90% of the observations below (to the left of) it?"   "What z value is at the 90th percentile?"

        Find in the table  .8997 and .9015 --  .9000, our number, is between them.
                    .8997 is a little closer to.9000, so use it.
           For .8997, the z value is 1.28.   1.28 has 10% of the observations above it.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
All of these can be checked using the Applet: Normal Density Curve   http://bcs.whfreeman.com/bps4e

Review Standardizing:  A "raw value" x is standardized by telling how many standard deviations above the mean it is.
    Find z:  Subtract the mean from x.  Now you know how far "above" the mean x is, in "raw" units. (If it's below the mean, the number will be negative.)  Find how far this is in "standard deviations" by dividing by the standard deviation.
That's the z-score.

Standardizing:   A way of comparing an individual against its pack.
                                Comparing individuals from different packs, each relative to its own.
                        Removes "units of measurement" from the discussion.

                        Enables use of the standard normal table.

Examples: ("Classic IQ test", mean 110, s.d. 25)
  85 is 1 s.d. below the mean.  Computation:  z = (85 110)/25 = (–25 raw points)/25 = –1 s.d. from mean.
 145 is how many s.d.'s above the mean?
                Computation: z = (145110)/ 25=  (35 raw points above mean)/25 = 1 2/5 = 1.4 s.d. above mean

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
"What proportion"problems:  BPS4e pp. 78-80

Example:  Proportion with scores between 100 and 145?  Table A (Excel)

x = 145 gives z = 1.4  (done above.)      Area to left of z = 1.4 is .9192
x = 100 gives z =  –.4                           Area to left of z = –.4 is  .3446
                                                Desired area = Difference=  .5746;  about 57%.  Looks about right from picture.

or   P ( 100 < x < 145)  = P ( –.4 < z < 1.4) = P( z < 1.4) – P(z < –.4) = .9192 – .3446 = .5746
     Read "Proportion of x's with 100 <x<145"  for P(100<x<145)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

"Backward problems"  "What raw (x) value has area ___ to the left/right of it?"   BPS4e pp. 81-83.
        Sketch  the curve, labeled with x values and z values, and the Area, roughly.
        Restate (if needed) as "What z value has area A to the LEFT of it."
        Look in body of table for the value closest to A.
        Go to edge(s) of table to find what z that goes with.
        Convert the z to an x: z is the number of standard deviations above the mean.
            Multiply z by the size of 1 standard deviation.  Now you have distance above the mean, measured in raw units.
            Add the mean.  Now you have the "raw" value x. (You have "unstandardized")
Example:  What x value has 10%  of the observations above it?  This is the same x as the one for:
        What x value has 90% of the observations below (to the left of) it.  

The table gives z = 1.28, approximately.  Table A (Excel)
The "Classic IQ test"score x= mean + z (s.d.) =  110 + 1.28 (25)=  110 + 32  = 142

Percentiles:  a "Classic IQ test" score of 142 has 90% of the scores at or below it.  142 is the 90th percentile.


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