1.) An archer can hit the bullseye of a target with an accuracy rate of 83%. Arrows hitting the bullseye are independent of each other. The archer is about to take 6 shots. Let X=the number of arrows (out of 6) that hit the bullseye. Describe the shape of the distribution, center, and spread of the distribution of X.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.4: Distributions Of Data
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1.) An archer can hit the bullseye of a target with an accuracy rate of 83%. Arrows hitting the bullseye are
independent of each other. The archer is about to take 6 shots. Let X = the number of arrows (out of 6) that
hit the bullseye.
Describe the shape of the distribution, center, and spread of the distribution of X.
Transcribed Image Text:1.) An archer can hit the bullseye of a target with an accuracy rate of 83%. Arrows hitting the bullseye are independent of each other. The archer is about to take 6 shots. Let X = the number of arrows (out of 6) that hit the bullseye. Describe the shape of the distribution, center, and spread of the distribution of X.
Expert Solution
Step 1

Given,

The Probability of hitting target is 0.83.

Each trail is independent of each other.

The archer is taking 6 trails.

  The random variable is number of arrow that hit.

Hence, It follows binomial distribution with parameters n = 6 and p = 0.83

 

Step 2

Shape of the distribution is,

Shape of the distribution is completely depends on n and p.

i) When n is small and p small then distribution is positive skewed. That means mean of the distribution falls in smaller number.

ii) When n is small and p is large then distribution is negatively skewed. That means mean of the distribution falls in greater number. That's the left skewed.

iii) When n is small/large but if p approximately equal to 0.5 then the probability mean of the distribution is falls in center of the numbers. That's why it is symmetric distribution.

iv) When n is large and p is large/small, Then distribution is symmetric about mean and mean falls corresponding to p, if p is large then mean is large and if p is small then mean is small.

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