rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix

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standard deviation of the input data. The standard deviation of the n numbers ao, . . ., a,-, is defined by the formula

C(ai-P)2

Reliability is the probability of not failing in a speci ed length of time. This is usually denoted by R(n), where n is the number of time units. If the time unit is days, then R(1) is the probability of not failing in 1 day. The probability of failing in a speci ed length of time is 1 minus the reliability for that length of time (F n 1 R n ). Software reliability is a measure of how often the software encounters a data input or other condition that it does not process correctly to produce the right answer. Software reliability is not concerned with software wearing out. A better analogy for software failures is picking marbles out of a bag or throwing darts blindfolded at balloons on a wall.

where p is the mean of the data. This means: square each deviation a [ i ] - mean; sum those squares; take the square root of that sum; divide that square root by n-l.

input data. The Z-scores of the n numbers ao, . . ., anml are defined by the formula zi = (ai - ~)/cT. They normalize the given data so ,that it is centered about 0 and has standard deviation 1.

5.20 In the good old days when a grade of C was considered average, teachers of large classes

would often curve their grades according to the following distribution: A .. 1.5 Iz B. 0.5 < z < 1.5 C .. -0.5 2 z < 0.5 D .. -1.5 I 2 < -0.5 F .. z < -1.5

If an error happens every 2 days, then the instantaneous error rate would be 0.5 errors per day. The error rate is the inverse of the time between errors (inter-error time). The error rate can be used as an estimate of the probability of failure, F(1). Unless we know some trend, the best estimate of the short-term future behavior is the current behavior. So if we nd 20 errors on one day, our best estimate for the next day is 20 errors.

If the grades were normally distributed (i.e., their density curve is bell-shaped), then this algorithm would produce about 7% A s, 24% B s, 38% C s, 24% D s, and 7% F s. Here the 2 values are the Z scores described in Problem 5.19. Extend the program from Problem 5.18 so that it prints the curved grade for each of the test scores read.

5.21 Write and test a function that replaces all the negative numbers in an array of integers with their

5.22 Write and test a function that returns the minimum value stored in an array. 5.23 Write and test a function that returns the index of the minimum value stored in an array. 5.24 Write and test the following function that returns through it reference parameters both the max-

imum and the minimum values stored in an array. void extremes(int& min, int& max, int a[], int n) 5.25 Write and test the following function that returns through it reference parameters both the largest and the second largest values (possibly equal) stored in an array. void largest(int& maxl, int& max2, int a[], int n)

If an error happens after 2 days, what is the probability that the system will not fail in 1, 2, 3, and 4 days If an error happens every 2 days, we can use 0.5 as the instantaneous error rate. It can also be used to estimate the failure probability for 1 day. Thus, F(1) = 0.5. Then, R 1 1 F 1 0:5: R 2 0:25: R 3 0:125: R 4 0:0625.

and test the following function that attempts to remove an item from an array:

a[], int& n, int x)

removed, all the elements above that position are shifted down, n is decremented, and 1 is returned to indicate a successful removal. If x is not found, the array is left unchanged and 0 is

returned to indicate failure. (See Problem 5.9.)