Magnetic surveying is one technique used by archaeologists to determine anomalies arising from variations in magnetic susceptibility. Unusual changes in magnetic susceptibility might (or might not) indicate an important archaeological discovery. Let x be a random variable that represents a magnetic susceptibility (MS) reading for a randomly chosen site at an archaeological research location. A random sample of 120 sites gave the readings shown in the table below. Magnetic Susceptibility Readings, centimeter-gram-second ✕ 10−6 (cmg ✕ 10−6) Comment Magnetic Susceptibility Number of Readings Estimated Probability "cool" 0 ≤ x < 10 30 30/120 = 0.25 "neutral" 10 ≤ x < 20 54 54/120 = 0.45 "warm" 20 ≤ x < 30 24 24/120 = 0.20 "very interesting" 30 ≤ x < 40 6 6/120 = 0.05 "hot spot" 40 ≤ x 6 6/120 = 0.05 Suppose a "hot spot" is a site with a reading of 40 or higher. (a) In a binomial setting, let us call success a "hot spot." Use the table above to find p = P(success) = P(40 ≤ x) for a single trial. (b) Suppose you decide to take readings at random until you get your first "hot spot." Let n be a random variable representing the trial on which you get your first "hot spot." Use the geometric probability distribution to write out a formula for P(n). P(n) = (c) What is the probability that you will need more than four readings to find the first "hot spot"? Compute P(n > 4). (Round your answer to three decimal places.)
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Magnetic surveying is one technique used by archaeologists to determine anomalies arising from variations in magnetic susceptibility. Unusual changes in magnetic susceptibility might (or might not) indicate an important archaeological discovery. Let x be a random variable that represents a magnetic susceptibility (MS) reading for a randomly chosen site at an archaeological research location. A random sample of 120 sites gave the readings shown in the table below.
Magnetic Susceptibility Readings, centimeter-gram-second ✕ 10−6 (cmg ✕ 10−6) |
|||
Comment | Magnetic Susceptibility |
Number of Readings |
Estimated Probability |
"cool" |
0 ≤ x < 10
|
30 | 30/120 = 0.25 |
"neutral" |
10 ≤ x < 20
|
54 | 54/120 = 0.45 |
"warm" |
20 ≤ x < 30
|
24 | 24/120 = 0.20 |
"very interesting" |
30 ≤ x < 40
|
6 | 6/120 = 0.05 |
"hot spot" |
40 ≤ x
|
6 | 6/120 = 0.05 |
Suppose a "hot spot" is a site with a reading of 40 or higher.
(b) Suppose you decide to take readings at random until you get your first "hot spot." Let n be a random variable representing the trial on which you get your first "hot spot." Use the geometric probability distribution to write out a formula for
P(n) =
(c) What is the probability that you will need more than four readings to find the first "hot spot"? Compute
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 3 images