Answer:
a
[tex]P(X = 5) = 0.2423 [/tex]
b
[tex]P( X \ge 6 )= 0.4516 [/tex]
c
[tex]P( X < 4 )= 0.12694[/tex]
Step-by-step explanation:
From the question we are told that
The population proportion is p = 0.53
The sample size is n = 10
Generally the distribution of the confidence of US adults in newspapers follows a binomial distribution
i.e
[tex]X \~ \ \ \ B(n , p)[/tex]
and the probability distribution function for binomial distribution is
[tex]P(X = x) = ^{n}C_x * p^x * (1- p)^{n-x}[/tex]
Here C stands for combination hence we are going to be making use of the combination function in our calculators
Generally the probability that the number of U.S. adults who have very little confidence in newspapers is exactly five is mathematically represented as
[tex]P(X = 5) = ^{10}C_5 * 0.53^5 * (1- 0.53)^{10-5}[/tex]
=> [tex]P(X = 5) = 252 * 0.04182 * 0.023[/tex]
=> [tex]P(X = 5) = 0.2423 [/tex]
Generally the probability that the number of U.S. adults who have very little confidence in newspapers is at least six is mathematically represented as
[tex]P( X \ge 6 )= P( X = 6) + P( X = 7) + P( X = 8) + P( X = 9) + P( X = 10)[/tex]
=> [tex]P( X \ge 6 )= [^{10}C_6 * [0.53]^6 * (1- 0.53)^{10-6}] + [^{10}C_7 * [0.53]^7 * (1- 0.53)^{10-7}] + [^{10}C_8 * [0.53]^8 * (1- 0.53)^{10-8}] + [^{10}C_9 * [0.53]^9 * (1- 0.53)^{10-9}] + [^{10}C_{10} * [0.53]^{10} * (1- 0.53)^{10-10}][/tex]
=> [tex]P( X \ge 6 )= [0.227] + [0.1464] + [0.0619] + [0.0155] + [0.00082][/tex]
=> [tex]P( X \ge 6 )= 0.4516 [/tex]
Generally the probability that the number of U.S. adults who have very little confidence in newspapers is less than four is mathematically represented as
[tex]P( X < 4 )= P( X = 3) + P( X = 2) + P( X = 1) + P( X = 0)[/tex]
=> [tex]P( X < 4 )= [^{10}C_3 * 0.53^3 * (1- 0.53)^{10-3}] + [^{10}C_2 * 0.53^2 * (1- 0.53)^{10-2}] + [^{10}C_1 * 0.53^1 * (1- 0.53)^{10-1}] + [^{10}C_0 * 0.53^0 * (1- 0.53)^{10-0}] [/tex]
=> [tex]P( X < 4 )= 0.09051 + 0.03 + 0.0059 + 0.000526[/tex]
=> [tex]P( X < 4 )= 0.12694[/tex]
