What is the most powerful calculator?
What is the most powerful calculator?
RE: The most powerful calculator in the world Remain HP Prime and HP 50g.
What is the most expensive calculator in the world?
The HP 9100A truly surpassed its time and hench, it carries great value. This calculator has a price of $4900 which makes it the costliest real-life calculator in use.
Is Casio FX 991EX allowed in exams?
As per UPSC, All non programmable calculators are allowed. And as per Casio’s specification, fx-991EX (ES/ES plus/MS/EX Classwiz ) are non-programmable calculators. So, you are allowed to use any of it.
Why are graphing calculators so expensive?
A TI-83 will set a student back around $100, while the TI-84 still costs more than $100. Most obsolete gadgets lower in price (consider this $10 flip-phone), but the humble graphing calculator continues to boast a hefty price tag. What gives? It’s all about supply and demand.
What class do you need a graphing calculator for?
5. In what classes can a graphing calculator be useful? Graphing calculators are integrated into the instruction of many math and science courses, including Pre-Algebra, Algebra 1, Algebra 2, Geometry, Trigonometry, Precalculus, Calculus, Chemistry, Physics, Biology, Statistics, Business and Finance.
Can TI-84 do integrals?
The TI-83/84 computes a definite integral using the fnint( ) function. To access the function, press the [ MATH ] button and then scroll up or down to find 9:fnint( .
How do you do definite integrals?
After the Integral Symbol we put the function we want to find the integral of (called the Integrand).
- And then finish with dx to mean the slices go in the x direction (and approach zero in width).
- A Definite Integral has start and end values: in other words there is an interval [a, b].
How do you find the average value of a function over an interval?
One of the main applications of definite integrals is to find the average value of a function y=f(x) over a specific interval [a,b]. In order to find this average value, one must integrate the function by using the Fundamental Theorem of Calculus and divide the answer by the length of the interval. ¯f=1b−ab∫af(x)dx.
How do you find the area under a curve?
The area under a curve between two points can be found by doing a definite integral between the two points. To find the area under the curve y = f(x) between x = a and x = b, integrate y = f(x) between the limits of a and b. Areas under the x-axis will come out negative and areas above the x-axis will be positive.
Is the area under a normal curve always 1?
The total area under the normal curve is equal to 1.
What is area under the curve mean?
Definition. A common use of the term “area under the curve” (AUC) is found in pharmacokinetic literature. It represents the area under the plasma concentration curve, also called the plasma concentration-time profile. The AUC is a measure of total systemic exposure to the drug.
What is the area under ROC curve?
AUC: Area Under the ROC Curve AUC stands for “Area under the ROC Curve.” That is, AUC measures the entire two-dimensional area underneath the entire ROC curve (think integral calculus) from (0,0) to (1,1).
What is the difference between ROC and AUC?
AUC – ROC curve is a performance measurement for the classification problems at various threshold settings. ROC is a probability curve and AUC represents the degree or measure of separability. By analogy, the Higher the AUC, the better the model is at distinguishing between patients with the disease and no disease.
What is a good ROC AUC value?
AREA UNDER THE ROC CURVE In general, an AUC of 0.5 suggests no discrimination (i.e., ability to diagnose patients with and without the disease or condition based on the test), 0.7 to 0.8 is considered acceptable, 0.8 to 0.9 is considered excellent, and more than 0.9 is considered outstanding.
What is the purpose of ROC curve?
ROC curves are frequently used to show in a graphical way the connection/trade-off between clinical sensitivity and specificity for every possible cut-off for a test or a combination of tests. In addition the area under the ROC curve gives an idea about the benefit of using the test(s) in question.
How do you explain ROC curve?
The ROC curve shows the trade-off between sensitivity (or TPR) and specificity (1 – FPR). Classifiers that give curves closer to the top-left corner indicate a better performance. As a baseline, a random classifier is expected to give points lying along the diagonal (FPR = TPR).
How do you implement a ROC curve?
A model with perfect skill is represented by a line that travels from the bottom left of the plot to the top left and then across the top to the top right. An operator may plot the ROC curve for the final model and choose a threshold that gives a desirable balance between the false positives and false negatives.
How is ROC curve calculated?
The ROC curve is produced by calculating and plotting the true positive rate against the false positive rate for a single classifier at a variety of thresholds. For example, in logistic regression, the threshold would be the predicted probability of an observation belonging to the positive class.
Is ROC curve only for binary classification?
The ROC curve is only defined for binary classification problems. However, there is a way to integrate it into multi-class classification problems. To do so, if we have N classes then we will need to define several models.
What does ROC stand for?
ROC
| Acronym | Definition |
|---|---|
| ROC | Registration of Company |
| ROC | Receiver Operating Characteristic (signal detection theory) |
| ROC | Rate of Change |
| ROC | Republic of China |
How cut off value is calculated from ROC curve?
Another “optimal cut-off” is the value for which the point on the ROC curve has the minimum distance to the upper left corner (where sensitivity=1 and specificity=1). By Pathagoras’ theorem this distance is sqrt( (1-sensitivity)²+(1-specificity)² ).
How is cut-off value calculated?
A correct cut-off value should lie, at least, between the highest value of the negative controls and the lowest value of the positive controls. In that sense, only the formulas F 1 (i.e., 2 x MEAN of negatives), F 5 and F 6 (F = MEAN + f. For example, in plate 3, formula F 2 overestimated the cut-off value.
What is the cut-off value?
For diagnostic or screening tests that have continuous results (measured on a scale), cut-off values are the dividing points on measuring scales where the test results are divided into different categories; typically positive (indicating someone has the condition of interest), or negative (indicating someone does not …
How is cutoff value calculated?
For a given cutoff value, a positive or negative diagnosis is made for each unit by comparing the measurement to the cutoff value. If the measurement is less (or greater, as the case may be) than the cutoff, the predicted condition is negative. Otherwise, the predicted condition is positive.