Discrete vs. Continuous Variables, law homework help

8) Discrete vs. Continuous Variables

If a variable can take on any value between two specified values, it is called a continuous variable; otherwise, it is called a discrete variable.

Some examples will clarify the difference between discrete and continuous variables.

§  Suppose the fire department mandates that all fire fighters must weigh between 150 and 250 pounds. The weight of a fire fighter would be an example of a continuous variable; since a fire fighter’s weight could take on any value between 150 and 250 pounds. 

§  Suppose we flip a coin and count the number of heads. The number of heads could be any integer value between 0 and plus infinity. However, it could not be any number between 0 and plus infinity. We could not, for example, get 2.5 heads. Therefore, the number of heads must be a discrete variable.

12) what does the sum equal to? Is it between 0 and 1? 

16) the sum would need to be = 1 so add all and subtract from 1 

20 a) resource:  http://stattrek.com/probability-distributions/discrete-continuous.aspx?Tutorial=Stat    c) mean = add all the data in question / number of data values 

http://www.purplemath.com/modules/meanmode.htm  d) standard deviation: https://www.mathsisfun.com/data/standard-deviation-calculator.html    e) P(8) = ? 

Section 6.2
10) resource: A binomial experiment is a statistical experiment that has the following properties:

§  The experiment consists of n repeated trials.

§  Each trial can result in just two possible outcomes. We call one of these outcomes a success and the other, a failure.

§  The probability of success, denoted by P, is the same on every trial.

§  The trials are independent; that is, the outcome on one trial does not affect the outcome on other trials.

36)  a. note that there are 4 requirements that can be met – see above resource
 b   n = 10;  p= 0.9; and x = 8  find P(8) = ?
  c.   the probability data and interpretationd.   p(x> = 8)  1 – P(x<8) =  ? e.     P( 7 <= X <+ 9) = P(7)+P(8)+P(9) = ?
Section 7.1
26)What value is in the center? This would be u = ? 
 standard deviation – The distance to the inflection points is = ?  This value would be 
 
36) a) the interpretation for the .3309 value
  b) the interpretation for .1107 value 

Section 7.2


20)  Use Table V in the book. The area to the right of the unknown z-score is = ? So, the area to the left is 1 – ? 

24) P(x> 65) = 1 – (the value of the area to the left of the z-score). 
Find the z-score =  x – u /  

28) From Table V: Area to the left of z1 = 0.86 = ?  and the area to the left of z2 = 2.57 is ?  Then take both values and subtract them. 

34)From Table V find the area closest to 0.90 = ? What’s the corresponding z-score = ?  90th percentile for X is x = u +z *  = ? 
 
Section 7.4  resource for this section: https://www.ltcconline.net/greenl/courses/201/probdist/NormalAreaBinomial.htm 
22) a)  P(80) = ?
     b)  P( X ≥ 80) = ?
  c)   P(X<70) = ?    d)  P( 70 ≤ X ≤ 90) = ?


28)  a.  P(X ≥ 20) = P(X ≥ 19.5) = ?
  b   Is part a unusual?  

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