Math Midterm Review — Algebra, Quadratics and Statistics
One note for the whole midterm. Built from Session M1 (exponents to quadratic factorization), Session M2 (data and statistics), the Statistics Test Review and the Hypothesis Testing note, plus a new section on quadratic equations (section 4).
How to use it (45 minutes): 10 min sections 1–3 (recall) · 20 min section 4 (quadratics, new) · 10 min section 5 (statistics) · 5 min section 6 (mixed check).
1. Laws of exponents
For :
| Law | Rule | Example |
|---|---|---|
| Product | ||
| Quotient | ||
| Power of a power | ||
| Power of a product | ||
| Power of a quotient | ||
| Zero exponent | ||
| Negative exponent | ||
| Rational exponent |
Why : , and any nonzero number divided by itself is 1.
Same base, equal powers: if (with , ), then . Example: .
Common mistakes: · but · , not .
2. Polynomials, identities and the two theorems
Degree = highest power of the variable. Linear (1), quadratic (2), cubic (3).
Identities (memorize):
Remainder Theorem. When a polynomial is divided by , the remainder is .
Factor Theorem. is a factor of exactly when .
Example. Is a factor of ? , so yes.
3. Factoring — pick the method in this order
- Common factor first: .
- Two terms: difference of squares . Example: . A sum of squares does not factor over the real numbers.
- Three terms : split the middle term. Find two numbers with product and sum , rewrite with them, then factor by grouping.
- Four terms: group in pairs.
Why splitting works: . The two middle pieces and add to and multiply to .
Example (). : product 12, sum 7 → 3 and 4. Answer .
Example (). : product , sum → and .
Sign guide: → both numbers have the sign of . → opposite signs; the larger one has the sign of .
Always check by multiplying back.
4. Quadratic equations (new)
Standard form: , with . The solutions are also called roots or zeros; on a graph they are the x-intercepts.
4.1 Four ways to solve
(1) Factoring + Zero Product Property. If then or . One side must be 0 first.
(2) Square roots (when there is no term). Remember the .
(3) Completing the square. Add to both sides (when ).
So or .
(4) Quadratic formula. Works for every quadratic.
4.2 Derivation of the quadratic formula (completing the square on the general equation)
Divide by and move the constant:
Add to both sides:
Take square roots and solve for :
Example. : , , .
4.3 The discriminant
| Discriminant | Roots | Graph |
|---|---|---|
| two different real roots (rational if is a perfect square) | crosses the x-axis twice | |
| one repeated real root, | touches the x-axis at the vertex | |
| no real roots (two complex roots) | never meets the x-axis |
Example. : , no real roots. With (so ): .
4.4 Sum and product of the roots
If the roots are and :
Why: expand to get , then match the coefficients with .
A quadratic with roots : . Roots 3 and : .
4.5 Graph of (a parabola)
| Feature | How to find it |
|---|---|
| Direction | opens up (minimum) · opens down (maximum) |
| Axis of symmetry | |
| Vertex | , then substitute to get |
| y-intercept | |
| x-intercepts | solve |
Three forms:
- Standard: (shows the y-intercept )
- Vertex: (vertex )
- Factored (intercept): (x-intercepts and ; axis )
Example. . Axis . Vertex , so vertex , a minimum. Vertex form . Factored , x-intercepts and . y-intercept .
4.6 Word problem pattern (US units)
Height of an object thrown upward: (feet, seconds).
Example. A ball is thrown up at 48 ft/s from a height of 64 ft: .
- Maximum height: s; ft.
- Hits the ground: ; divide by : ; factor: ; so s (reject ).
4.7 Hidden quadratics (from M1)
Substitute to make it a quadratic. : let , so , , or , so or .
5. Statistics
5.1 Collecting data
| Term | Meaning |
|---|---|
| Population / sample | the whole group / the part actually measured |
| Parameter / statistic | a number describing a population (, ) / describing a sample () |
| Bias | a method that systematically favors some outcomes |
Sampling methods: simple random (every member equally likely) · systematic (every th) · stratified (random sample from every group) · cluster (all members of a few random groups) · convenience and self-selected (both biased).
Ways to collect data: survey · observational study (watch, no treatment; shows association only) · experiment (treatment is assigned at random; the only method that can show cause) · simulation.
Bias to look for: undercoverage, non-response, leading question wording, self-selection.
5.2 Center
- Mean: . Grouped data: , where is the class mark (midpoint).
- Median: middle value of the ordered data (average of the two middle values when is even). Not pulled by outliers.
- Mode: most frequent value.
- Grouped median: · Grouped mode: ( = lower limit of the class, = class width, = cumulative frequency before the median class, = modal frequency, and = the frequencies before and after).
- Skewed data: report the median. Symmetric data: mean = median.
5.3 Spread
- Range = max − min.
- Standard deviation: ; variance .
Check. Scores 6, 7, 7, 8, 8, 8, 8, 9, 9, 10: mean 8; squared distances add to 12; .
5.4 Graphs
Bar graph: categories, gaps between bars. Histogram: continuous classes, no gaps; with unequal class widths plot adjusted frequency . Frequency polygon: join the class marks.
5.5 Normal distribution
Bell-shaped, symmetric about the mean.
- Empirical rule: 68% within · 95% within · 99.7% within .
- z-score: ; back to a value: .
- The table gives the area to the left of . Right: table. Between: table() − table().
Example. , . What percent is between 65 and 80? 65 is , 80 is : . And gives .
5.6 Margin of error and hypothesis testing
- Margin of error for a sample proportion: . For : . A poll result of 52% means the true value is likely between 47% and 57%. To halve the margin of error, use 4 times the sample size.
- Hypothesis test. Null hypothesis = the claim being tested. Significance level = the cutoff (usually 5%).
Rule: if the observed result (or one more extreme) shows up in or less of the simulated samples, reject the null hypothesis. Otherwise do not reject (this does not prove the claim).
Example. 36 heads in 50 flips appeared in 0 of 200 fair-coin simulations (0% ≤ 5%): reject “the coin is fair”. 29 heads appeared in 39 of 200 (19.5% > 5%): do not reject.
6. Mixed check (answers below)
- Simplify .
- Evaluate .
- Factor .
- Factor .
- Solve .
- Solve (exact form).
- How many real roots does have?
- Find the vertex of . Is it a maximum or a minimum?
- Is a factor of ?
- Test scores are normal with , . Find the z-score of 650 and the percent of scores between 400 and 600.
- A poll of 900 people finds 60% in favor. Give the margin of error and the interval.
- A result occurred in 8 of 200 simulations. At , reject or not?
Answers, step by step
- ; ; .
- ; .
- .
- Product 6, sum 7 → 6 and 1: .
- , so or .
- .
- : no real roots.
- ; . Vertex , a maximum because .
- : yes.
- . 400 to 600 is : 68%.
- , so about : 56.7% to 63.3%.
- : reject the null hypothesis.
Notes for next session
- Quadratics (section 4) is new: check completing the square and the discriminant first.
- Confirm with the school’s topic list which statistics parts are on the midterm.