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Nickle
1/20 of a dollar
Pint
1/8 of a gallon of 3.7854 litres or 1/2 of quart
Infinite solutions
same slope, same y-intercept, same equations
No solution
same slope, different y-intercept
One solution
perpendicular slope, (x=a)
Negative slope
falls from left to right
Positive Slope
rises from left to right
Bigger fraction
inclined line
Smaller slope
flatter line
Substitution
For isolated variables
Elimination
Easier when equations have identical, opposite, or integer multiple terms
Two same equations
Infinite solutions
Two different constants
No solution (i.e 0 = 1)
One Intersection Point
One solution
Looses
Subtract from the equation
at least c, no less than
= c
at most c, no more than
<= c
y > mx+b / y >= mx+b
Shade above the line (From left to right)
y < mx+b / y <= mx+b
Shade below the line (From left to right)
Proportions
Must have the same units in both numerators or both denominators or in both numerator and denominator of both sides
quart
1/4 of a gallon
Linear Units
Divided with the conversion factor
Non-Linear Units
Multiplied with the conversion factor^n
Percent
"what" means x "is" means = "of" means multiplied by "percent" means divided by 100
Digital SAT Percentage Answer
must be without % sign
Percentage Change %
= (difference / initial) * 100
Answer to nearest tenth
If the hundredth decimal is 5 or more, round the tenth decimal up by one. Otherwise, leave the tenth decimal as it is.
Example:3.46 (hundredths is 6, which is more than 5) → 3.5 3.44 (hundredths is 4, which is less than 5) → 3.4
Answer to the nearest hundredth
If the thousandths decimal is 5 or more, round the hundredths decimal up by one. Otherwise, leave the hundredths decimal as it is.
Example:3.456 (thousandths is 6, which is more than 5) →3.46 3.453 (thousandths is 3, which is less than 5) → 3.45
Answer to the nearest thousandth
If the ten-thousandths decimal is 5 or more, round the thousandths decimal up by one. Otherwise, leave the thousandths decimal as it is.
Example:3.4567 (ten-thousandths is 7, which is more than 5) → 3.457 3.4563 (ten-thousandths is 3, which is less than 5) → 3.456
Mean
average (sum of values/number of values)
Median
The middle value in the least to greatest ordered data
For even → Average of Middle two values n/2 th For odd → Middle value via (n+1)/2
Mode
Most repeated numbers
Range
Max - Min
Standard Deviation (Definition For SAT)
How spread the data is
Centre
Mean: The average of all values. Median: The middle value; if even, the average of the two middle values. Mode: The most frequent value.
Spread
Variance: The average of squared differences from the mean. Standard Deviation: A measure of data spread. Range: Difference between maximum and minimum values.
Decrease Mean
Remove a larger number, Add a Smaller Number, Has decreasing frequency
Increase Mean
Remove a smaller number, Add a Larger Number, Has increasing frequency
Decrease Median or remain the same
Remove a larger number, Add a Smaller Number
Increase Median or remain the same
Remove a smaller number, Add a larger number
Symmetric Distribution
Mean = Median
The presence of large outliers
Mean > Median
Presence of small outliers
Median > Mean
Less Mean
Higher Left Density
More mean
Higher Right Density
Relationship Between mean and median
Large Outliers: If large outliers are present, the mean will increase more than the median. Small Outliers: If small outliers are present, the mean will decrease more than the median.
To find x with mean
1 Multiply the mean by the number of values 2 subtract total (i.e step 1) by sum of all values to find x
Increase Range
Adding a smaller value that is less than the current minimum Adding a larger value that is greater than the current maximum.
Average Adjustment Method
This method helps find the effect of removing or adding a specific value to a set. By recalculating the average after excluding or including that value, you can determine how much that value changes the total. For example, it shows how far someone drove on their longest day by adjusting the average distance driven when that day is removed
Dime
1/10th of a dollar
Bar graph
A bar graph compares different categories by showing the value of each with bars.
Frequency bar graph
A frequency bar graph shows how often each category occurs with bars.
Dot plots
Dot plots represent frequencies with dots (like frequency bar graphs use bars) and are ideal for small, easily countable values.
Histograms
Histograms represent frequencies with bars for ranges of values, useful for larger data sets because it is impractical to show each possible value
Upward Trend
"Increases", "rises", "grows"
Downward trend
"Decreases", "drops", "declines"
Flat trend
"Remains constant", "stops", "stays the same"
Shallow slope
"Slowly", "gradually"
Steep slope
"Rapidly", "quickly"
Scatterplots
Scatterplots display data points on an xy-plane, showing the relationship between two variables and often use a line of best fit to indicate trends.
Negative Linear Relationship
When one variable increases, the other decreases.
Positive Linear Relationship
When both variables increase together.
Non-Linear Relationship
When the relationship doesn't fit a straight line
(Upward Parabola) Parabola Opening Upwards
Indicates a positive quadratic relationship, where the function is f(x)= ax^2 + bx + c with a>0
(Downward Parabola) Parabola Opening Downwards
Indicates a negative quadratic relationship, where the function is f(x)= ax^2 + bx + c with a<0
Y-intercept of Parabolic Equation
"c"
Linear Relationship
Additional Continuity
Exponential Relationship
Multiplicative, Exponential Continuity y=a(b)^x Where, a = y-intercept, b=common factor
Exponential Function Types
halved, double, percentage... etc
Linear
Changes (i.e., increases or decreases) at a constant rate
Changes by per unit of time
Changes by of the initial value per unit of time
Exponential
Changes by (of the current value) per unit of time
Changes by a factor of (e.g., halves, doubles) per unit of time
Increasing Exponential
b>0
Decreasing Exponential
b<0
Probability
The likelihood of an event occurring, expressed as a fraction or decimal between 0 and 1.
Relative Frequency
The likelihood of an event occurring within one subset relative to that or another subset.
Identifying Relative Frequency Question
Look for questions asking for the ratio of a subset to another group, not the whole sample. For example, "What fraction of classmates who do not own a skateboard also do not own a bike?" focuses on one subgroup's frequency relative to another subgroup
Data Inference Questions
Questions that involve making generalizations or predictions about a population based on sample data
Data Inference Formula
estimate = sample proportion*population range = estimate ± margin of error (error of estimate uncertainty)
Large sample size
More Precise, small margin of error
High Confidence Level (e.g., 95%): small margin of error, wider range.
Low Confidence Level (e.g., 90%): Smaller margin of error, narrower range.
Small sample size
A less precise, large margin of error
High Confidence Level (e.g., 95%): Very large margin of error, very wide range.
Low Confidence Level (e.g., 90%): Large margin of error, but narrower range compared to high confidence.
High Confidence
Large margin of error, wider range
Less Confidence
Small Margin of Error, Narrower range
Convenience Sampling
Samples are chosen because they are easy to access or convenient
Voluntary Response Sampling
People choose to respond on their own.
Response Bias
Respondents give inaccurate answers, often due to sensitive questions.
Undercoverage
Some population members are not well represented in the sample.
Nonresponse
Some selected participants do not respond or complete the survey.
Control Group
Group that does not receive the experimental treatment.
Sample Study
A part of the population is studied to make inferences about the whole population.