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Show that
An answer is provided and it is up to you to justify it. Often, these values are followed by “hence” statements and need to be used in later parts of the problem.
Hence
The value or equation determined in the prior part of the problem is needed to complete your current part of the problem.
Hence or otherwise
You can use the information in the prior part to work the current part, but it is not necessarily the only way to do so.
Tangent Line
You probably need to either find or use a derivative to determine the slope of the tangent line.
Normal Line
This line is perpendicular to the tangent line and passes through the same point of tangency.
Point of Tangency
The point on the graph where the normal line, the tangent line and the curve all intersect.
Minimum / Maximum (or Least / Greatest or Smallest / Largest)
Set the derivative of whatever you want to maximize or minimize equal to zero
Parallel
Two lines have the same slope. Can sometimes indicate derivative usage, but mention of a tangent will likely happen if so.
Perpendicular
Two lines have opposite reciprocal slopes (change the sign and flip the
fraction). Can sometimes indicate derivative usage, but mention of a tangent line will likely
happen if so.
Equation of the line
Point-slope form (gradient-slope form, (y - y1 = m(x - x1)) is usually the default. If you can
figure out the coordinates of a point on the line and the slope of the line, you can write the
equation directly. Only solve for “y = “ if they require it.
One, two or no real solutions
If any of these scenarios are mentioned, look to see if the
equation can be expressed in a quadratic form. If so, make use of the discriminant.
D > 0 indicates two real solutions
D = 0 indicates one real solution
D < 0 indicates no real solutions
Increasing / Decreasing
Evaluate your derivative at the location / on the interval to see if it’s positive or negative, respectively.
Concave Up / Concave Down
Evaluate your second derivative at the location / on the interval to see if it’s positive or negative, respectively.
First Derivative Test
Used to help determine maximums or minimums based on the change of
signs on either side of a critical value. Positive to Negative is a maximum; negative to positive is a minimum.
Second Derivative Test
Evaluate critical points in the second derivative to see whether the potential max / min is in a concave up / concave down region. If concave down, it’s a max. If concave up, it’s a min.
Critical Values
Locations where the first derivative is undefined or equal to zero. These are potential max / min locations.
Points of Inflection
Locations where concavity changes. Finding where the second derivative is equal to zero or undefined gives possible locations of points of inflection.
Probability Distribution
The sum of the probabilities is always equal to one.
Expected Value
Multiply the values in a probability distribution by their respective probabilities and add all of the results together.
Gradient
This is a synonym for slope. Often used in reference to tangent lines, but not always.
Inverse Functions
The most important thing here is that their domain and range swap completely. If a point (a, b) exists on the original graph, its inverse contains (b, a). The two inverses are also reflections of each other over the line 𝑦 = 𝑥.
“y in terms of x”
You should have an equation with and then only the variable “x” as an𝑦 =
input on the right hand side.
Area of Shaded Region (from a graph of one or more functions)
You will be integrating over the region. The boundaries are based on the points of intersection and you should integrate the “top function - bottom function”. This may contain multiple regions, which means you’ll have to adjust which is “top” or “bottom” as needed.
Probability “Given That”
This indicates a subgroup or particular focus for a probability question. When you calculate the probability of “this given that”, the denominator is always the probability of “that”.
Depreciates / Appreciates
Increases or decreases, typically a Decay / Growth model.
Changes direction
In velocity problems, this happens when velocity is equal to zero and its
sign changes from negative to positive or positive to negative.
Speeds up / slows down
Acceleration and velocity must have opposite signs to slow down. They must have the same sign to speed up.
At rest
Velocity = 0
Common Tangent
The derivatives of both functions are the same value at that location and share the same point of tangency.
Provided: All three side lengths of a triangle.
Target: Angle measures.
Formula: m∠C=cos−1(2aba2+b2−c2)
Note: In the case of only knowing one angle for the Sine Rule / Law of Sines, the ambiguous case may need to be considered. Understand that there may be two possible “correct” triangles.
I’m not going to paste this on every definition but just know
Provided: Two side lengths and their included angle in a triangle.
Target: Third Side Length.
Formula: c2=a2+b2−2abcos(C)
Provided: A corresponding pair of side and angle as well as a second angle measure.
Target: The corresponding side to the given angle.
Formula: sin(A)a=sin(B)b
Provided: A corresponding pair of side and angle as well as a second side length.
Target: The corresponding angle measure.
Formula: asin(A)=bsin(B)
Provided: A point and a slope
Target: Equation of a line
Formula: y−y1=m(x−x1)
Provided: A quadratic equation
Target: Solutions / x-intercepts / zeros / roots
Formula: x=2a−b±b2−4ac
Q: What mode does the calculator default to? Degrees or Radians?
A: Radians
Q: What would have to be included in a problem for radian / degree mode to matter?
A: Using sine, cosine or tangent in the operations directly.
Q: Which of the following probability commands do we not use in this course? Binomcdf,
binompdf, normcdf, normpdf, or invNorm?
A: We do not use normpdf. Normpdf would draw the physical curve itself for a normal
distribution, but we do not need to do that.
Q: What information must be available to use binompdf (in order of input)?
A: A set number of trials, a probability of success, and a targeted value.
Q: What information must be available to use binomcdf (in order of input)?
A: A set number of trials, a probability of success and the upper limit of values desired.
Q: In what scenario would you want to make use of binomcdf directly and in what
scenario would you use the “1 - binomcdf” structure? What do you have to be careful
about with the “1 - binomcdf” version?
A: We use binomcdf for “at most” statements and we use “1 - binomcdf” for at least
statements. In the latter case, if you wanted at least X, we use X - 1 in the binomcdf
command.
Q: SL does not provide the formula for tan(2θ). If you were expected to calculate this value, what would you have to do instead?
A: Since tan(θ)=cosθsinθ, we can evaluate and and then divide them.
Q: How do you know when to use formulas and commands for a normal distribution,
such as normdcf and invNorm?
A: The problem will explicitly state that you are working with a Normal Distribution.
Q: What are the four components of the normcdf command?
A: Lower Boundary, Upper Boundary, mean, standard deviation
Q: What are the two uses for invNorm and how do they differ?
A: The first use is to identify a particular data value for which you know the probability. In
this case, you list the P(X<#), the mean and the standard deviation. If either the mean or
standard deviation are missing, then you can use the same probability with a mean of 0
and standard deviation of 1 to estimate its z-score instead.
Q: What is different about taking the derivative of ln(x) versus integrating its derivative of x1?
A: When integrating, we have to include an absolute value such that y=ln∣x∣.
Q: When using a calculator to determine distance travelled between two times, what differs from using it to find displacement?
A: The displacement integrates v(x) while distance integrates ∣v(x)∣.