Answer:
Explanation:
# Execute a Monte Carlo simulation 10k times
B <- 10000
results <- replicate(B, {
winners <- sample(runners, 3)
(winners[1] %in% "Jamaica" & winners[2] %in% "Jamaica" & winners[3] %in% "Jamaica")
})
mean(results)
Answer: Random fluctuations.
Explanation: A time series consists of data points ordered chronologically, arranged in equal intervals. Typically, this data sequence is systematic and has defined intervals. However, there’s no allowance for randomness, making unpredictable variations, or random fluctuations, absent in such series. Thus, option (D) is the correct choice.
public static int factorial(int n) {
if (n >= 1 && n <=12) {
if (n == 1)
return 1;
else
return n * factorial(n - 1);
}
else
return -1;
}
Explanation: The factorial method takes a single integer n as input. It checks if n is within the range of 1 to 12. If it is, it further checks if n equals 1. If it is indeed 1, it returns 1 as the factorial. Otherwise, it recursively calls itself with n decreased by 1, multiplying the result by n. If n is outside this range, the method returns -1 indicating the input is invalid.
Answer:
010100000001101000101
Explanation:
To identify the location of an error in data bits, the SEC code is utilized. For a 16-bit data word, 5 check-bits are necessary to create the SEC code. The values of the check bits are:
C16=0, C8=0, C4=0, C2=0, C1=1
Hence, the resulting SEC code is 010100000001101000101
