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The length of time a particular smartphone's battery lasts follows an exponential distribution with a mean of ten months. A sample of 64 of these smartphones is taken.

Find the 80th percentile for the total length of time 64 batteries last .

Short Answer

Expert verified

The 80th percentile for the total length of time 64 batteries last is approximately

11.05

Step by step solution

01

Given Information

According to the given details, the length of time a particular smartphone's battery lasts follows the exponential distribution. The mean of the distribution isμ=10 months and the sample size is 64.

02

Explanation

The exponential distribution is used to determine how long a smartphone's battery lasts. The exponential distribution's probability density function X~Exp(m), where mis the decay parameter is given as:

f(X)=me(-mx)

Where, X≥0andm>0

The exponential distribution's standard deviation is σ=μ=10.

03

Distribution Of Mean

If, X¯is the average length of time that 64 batteries last, the distribution of mean length for 64 batteries will be normal. The distribution of X¯is the mean length time of 64 batteries last is given as below:

X¯-NμX,σX/n

X¯~N(10,10/64)

X¯~N(10,10/8)

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Previously, De Anza statistics students estimated that the amount of change daytime statistics students carry is exponentially distributed with a mean of \(0.88. Suppose that we randomly pick 25daytime statistics students.

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RedOrangeYellowBrownBlueGreen
0.751
0.735
0.883
0.696
0.881
0.925
0.841
0.895
0.769
0.876
0.863
0.914
0.856
0.865
0.859
0.855
0.775
0.881
0.799
0.864
0.784
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0.966
0.852
0.824
0.840
0.810
0.865
0.859
0.866
0.858
0.868
0.858
1.015
0.857
0.859
0.848
0.859
0.818
0.876
0.942
0.838
0.851
0.982
0.868
0.809
0.873
0.863


0.803
0.865
0.809
0.888


0.932
0.848
0.890
0.925


0.842
0.940
0.878
0.793


0.832
0.833
0.905
0.977


0.807
0.845

0.850


0.841
0.852

0.830


0.932
0.778

0.856


0.833
0.814

0.842


0.881
0.791

0.778


0.818
0.810

0.786


0.864
0.881

0.853


0.825


0.864


0.855


0.873


0.942


0.880


0.825


0.882


0.869


0.931


0.912





0.887

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