Plan Making and Implementation Flashcards
(103 cards)
Comprehensive Plan
“Scope = Entire Community
Time frime = Long Term
Goal= Describe how development might be best accomodated now and in the future.
Implementation = 1. Regulation (zoning, subdivisions, housing ordinances, signs, building codes, taxation)
2. Acquisition (fee simple purchase, dedications, developer agreements, conservation easments, eminent domain)”
Strategic Plan
“Scope = more focused
Time frame = short-term
Goal = Direct resources to accomplish stated purpose
Implementation = 1. Taxation tools (property and sales tax, tax abatement, CID, Tax Increment Financing (TIF)
2. Expenditures (capital improvements, operating expenditures, retiring bond debt)”
Visioning
Used to develop a vision statement, a preferred image of the community. Public participation important step. Used at BEGINNING of process. Does not look at existing constraints.
Goal
Value based statement, not necessarily measureable. Should include purpose, scope, and context
Objective
More specific than goal, measureable statement of desired end, should include location, character, and timing
Policy
Rule or course of action that indicates how the goals and objectives should be realized. Should include principles, agreements, resolutions, and guidance for implementation
Program
series of related, mission-oriented activites aimed at carrying out a particular goal or policy. Should include initiatives, costs, milestones, responsibilites
Nominal Measure
“Descriptive, label, non-numerical
example - gender, race, colors”
Ordinal Measure
“Order of values are important, but the differences is not well known
example- very happy, happy, ok, sad, very sad”
Interval Measure
“Numberic scale in wher we know the order and the difference between values.
Example - 10 degrees, 20 degrees, 30 degrees”
Ratio Measure
“Numeric order and EXACT difference known between values and have an absolute zero value.
Example - amount of apples purchased: 0, 1, 2”
Qualitative Variable
relating to, measuring, or measured by the quality of something rather than its quantity.
Quantitative Variable
relating to, measuring, or measured by the quantity of something rather than its quality.
Discrete Variable
Discrete variablesare countable in a finite amount of time. For example, you can count the change in your pocket. You can count the money in your bank account. You could also count the amount of money ineveryone’sbank account. It might take you a long time to count that last item, but the point is — it’s still countable.
Continuous Variable
Acontinuous variableis one which can take on infinitely many,uncountablevalues.
Dichotomous Variable
Dichotomous variables are nominal variables which have only two categories or levels. For example, if we were looking at gender, we would most probably categorize somebody as either “male” or “female”.
Dependent Variable
“The dependent variable is what is being studied and measured in the experiment.It’s what changes as a result of the changes to the independent variable.An example of a dependent variable is how tall you are at different ages. The dependent variable (height) depends on the independent variable (age).
(Y)”
Independent Variable
“The independent variable is the variable whose change isn’t affected by any other variable in the experiment.Either the scientist has to change the independent variable herself or it changes on its own; nothing else in the experiment affects or changes it.(X)
Example - time or age”
Mode
“The most frequently occurring number found in a set of numbers. The mode is found by collecting and organizing data in order to count the frequency of each result. The result with the highest number of occurrences is the mode of the set.
A measure of Central Tendency”
Mean
“The sum of the values in the data set and then divide by the number of values that you added.
A measure of Central Tendency”
Median
Median”The median is the value separating the higher half from the lower half of a data sample (a population or a probability distribution). For a data set, it may be thought of as the ““middle”” value. For example, in the data set {1, 3, 3, 6, 7, 8, 9}, the median is 6, the fourth largest, and also the fourth smallest, number in the sample.
A measure of Central Tendency”
Normal Distribution
“Anormal distribution, sometimes called thebell curve, is a distribution that occurs naturally in many situations. For example, thebell curveis seen in tests like the SAT and GRE. The bulk of students will score theaverage(C), while smaller numbers of students will score a B or D. An even smaller percentage of students score an F or an A. This creates a distribution that resembles a bell (hence the nickname). Thebell curveis symmetrical. Half of the data will fall to the left of themean; half will fall to the right.
mean = median = mode”
Skewed Distribution
“If one tail is longer than another, the distribution is skewed. These distributions are sometimes called asymmetric or asymmetrical distributions as they don’t show any kind of symmetry.
A left-skewed distribution has a long left tail. Left-skewed distributions are also called negatively-skewed distributions. That’s because there is a long tail in the negative direction on the number line. The mean is also to the left of the peak.
A right-skewed distribution has a long right tail. Right-skewed distributions are also called positive-skew distributions. That’s because there is a long tail in the positive direction on the number line. The mean is also to the right of the peak.”
Range
“Range (statistics) The difference between the lowest and highest values. In {4, 6, 9, 3, 7} the lowest value is 3, and the highest is 9, so the range is 9 − 3 = 6. Range can also mean all the output values of a function.
A measure of Variability”