SOLUTION: Decide whether you can use the normal distribution to approximate the binomial distribution. 68% of children keep at least part of their savings in a saving account. You randomly s

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Question 862354: Decide whether you can use the normal distribution to approximate the binomial distribution. 68% of children keep at least part of their savings in a saving account. You randomly select 50 children. Find the probability that at most 25 children will say yes. draw the respective graphs.
Please help me to solve this problem. Thank you!

Answer by ewatrrr(24785)   (Show Source): You can put this solution on YOUR website!

Hi
Note: We can use the normal distribution as a close approximation to the
binomial distribution whenever np ≥ 5 and nq ≥ 5.
can use the normal distribution to approximate the binomial distribution
Yes, 25.5 appropriate (did say at most, that is including 25) See generic examples below
m = .68*50 = 34 Sd = 3.2985 (
z = (25.5-34)/3.2985= -2.58
P(z < -2.58) = .005
Below: z = 0, z = ± 1, z= ±2 , z= ±3 are plotted.
Note: z = 0 (x value the mean) 50% of the area under the curve is to the left and %50 to the right

Examples Using the normal distribution to approximate binomial distribution probabilities with n = 50 and p = .4
a) exactly 18
Left endpoint for 18 is x=17.5
z-score for left endpoint 17.5 is
(1) if your z-table reads from the middle, look up 0.72, get .2642
(2) if your z-table reads from the left, look up -0.72, get .2358
Right endpoint for 18 is x=18.5
z-score for right endpoint 18.5 is
(1) if your z-table reads from the middle, look up 0.43, get .1664
(2) if your z-table reads from the left, look up -0.43, get .3336

(1) if your z-table reads from the middle, subtract .2642-.1664 = .0978
(2) if your z-table reads from the left, subtract .3336-.2358 = .0978
Answer: .0978
------------------------------------------------------------------------
b) anywhere from 21-25 including end points
Left endpoint for 21 is x=20.5
z-score for left endpoint 20.5 is
(1) if your z-table reads from the middle, look up 0.14, get .0557
(2) if your z-table reads from the left, look up -0.72, get .5557
Right endpoint for 25 is x=25.5
z-score for right endpoint 25.5 is
(1) if your z-table reads from the middle, look up 1.59, get .4441
(2) if your z-table reads from the left, look up 1.59, get .9441

(1) if your z-table reads from the middle, subtract .4441-.0557 = .3884
(2) if your z-table reads from the left, subtract .9441-.5557 = .3884
Answer: .3884
------------------------------------------------------------------------
c) more than 23
That means the smallest possible value is 24
Left endpoint for 24 is x=23.5
z-score for left endpoint 23.5 is
(1) if your z-table reads from the middle, look up 1.01, get .3438
(2) if your z-table reads from the left, look up 1.01, get .8438
(1) if your z-table reads from the middle, subtract .5-.3438 = .1562
(2) if your z-table reads from the left, subtract 1-.8438 = .1562
z-score for right endpoint 25.5 is
Answer: .1562
----------------------------------------------------------
[Be careful here for part (d) coming up and other "more than" or "at least"
problems, if your table reads from the middle, then if the z-score is negative
you must ADD .5 not subtract.
------------------------------------------------------------------------
d) at least 17
That means the smallest possible value is 17
Left endpoint for 17 is x=16.5
z-score for left endpoint 16.5 is
(1) if your z-table reads from the middle, look up 1.01, get .3438
(2) if your z-table reads from the left, look up -1.01, get .1562
(1) if your z-table reads from the middle, add .5+.3438 = .8438,
because the z-score is negative.
(2) if your z-table reads from the left, subtract 1-.1562 = .8438
Answer: .8438

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