Statistics and Census Flashcards

1
Q
  1. Develop preliminary definition of problem
  2. Specify the boundaries to the problem
  3. Develop a fact base
  4. List goals and objectives
  5. Identify the range of solutions
  6. Define potential costs and benefits
  7. Review the problem statemen
A

Research Assessment Steps

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2
Q

“the process of studying a procedure or business to identify its goal and
purposes and create procedures that will efficiently achieve them”.

a problem-solving technique that breaks down a system into its component
pieces, and how well those parts work and interact to accomplish their purpose

A

Systems Analysis

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3
Q

used to compare the means of two different sets of observed data and to find to what extent such difference is ‘by chance’

only 2 sets of data can be used

A

T-test

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4
Q
A

Z-test

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5
Q

Sampling error vs. sampling bias?

A
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6
Q

Each individual has an equal chance of being
selected for the sample.

A

Simple random

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7
Q

every Xth individual is selected from the list, starting at a randomly chosen poin

A

Systemic Sampling

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8
Q

population may have 2 or more groups in the study; provides the best results because it ensures even coverage of the poulation but maintains the rnadom selection probabilities
* can be disproportioanl when sampling is not proportional to the percentage of the group populations

A

Stratified sampling

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9
Q

population is divided into smaller geographic units such as neighborhoods wihtin a city or blocks within a district; sample cossits of rnadom seelction within each city or block and all individuals within those are sampled

A

Cluster sampling

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10
Q

assignment of numbers or symbols for the purpose of designating subclasses that represent unique characteristics:
1. renaming (social security/uniform numbers)
2. categorical (male, female)

Weakest level of measurement

A

Nominal scale

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11
Q

type of statistical distribution where the data points are clustered more toward the lower side of the scale, and there are very few higher scores, resulting in a longer tail extending towards the right side of the distribution

A

Skewed right

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12
Q

negatively skewed, shows a distribution where the majority of data points are clustered on the right side, and the tail of the distribution extends towards the left. This means that the smaller values (the “left tail”) are less frequent than the larger values.

A

Skewed left

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13
Q

a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value.

A

Variance

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14
Q
A

Standard deviation

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15
Q

Linear regression vs. t test?

A

t-tests and ANOVAs involve the use of categorical predictors, while linear regression involves the use of continuous predictors

t-test: significance between 2 datasets
linear regression: extent to which an independent variables influence dependent variables

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16
Q

Hierarchy of Census Data

17
Q

method of estimating future population size by analyzing data points that indirectly reflect population changes, such as school enrollments, voter registrations, utility connections, or housing permits, rather than relying solely on direct population counts; this data is then used to project future population trends and inform planning decisions based on these indicators.

A

Symptomatic projections

18
Q

you have populations for the county/region but you want projections for your local community; you know that historically, your muni population has been 10% of the county population, so you “stepdown” those numbers

A

Stepdown method:

19
Q

Most complex and used for census and pyramids
Net migration is the most difficult to predict
Uses births, deaths and net migration to estimate population projections

A

Cohort-Component Method:

20
Q

ratio that measures the number of people who are not in the labor force compared to the number of people who are. It’s used to measure the strain on the working population.;
A good dependency ratio is low, meaning there are enough working-age people to support the dependent population

A

Dependency rate:

21
Q

2010 Census: Fastest growing state, state with largest overall population increase, fastest growing muni

A

Palm Coast, FL is fastest growing between 2000 and 2010, which grew by 92%

Utah is fastest growing state AND Texas had largest overall population increase

22
Q

2020 Census: Fastest growing state, state with largest overall population increase, fastest growing muni

A

The Villages in FL grew the fastest

Utah is fastest growing state, TX has largest numeric increase

23
Q

Sizes of census geographies (tracts, block groups, blocks and public use microdata area)

A

MSA: one city with 50,000 or more
Consoidlated MSA: CMSA; metro statistical area with 1M or more (18 CMSAs)
Urbanized area: density settled areas with pop of 50,000
Census blocks: has the smallest unit of 100% tabulation data; average size is 100 people
Group of census blocks make up a block group (smallest for Single Family 3 and 4); 300 to3,000
Census tracts: typically 4,000 people (DOUBLE CHECK THIS NUMBER)

24
Q
  • Assumes growth will occur at a constant rate
  • Normally accurate for short projection periods; often overestimates population in the long term

graphed as concave ascending curve

A

Exponential Curve

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upper limit of population is defined assumes declining rate or percentage of growht as upper capacity is approached furhter out the proejction, closer the buildout graphed as convex, ascendung curve
Modified exponential curve
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assumes growth begins slowly, increases momentum until ti reaches the inflection point then sows to increments of contuosly decreasing rates
Gompertz Growth Curve
27
Assumes growth is predictable based upon past trends in different area
Comparitive Method
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assumes relationship between local adn larger area will remain constant
Ratio Method (Shift Share)
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poulation change is function of natural increase (birthds-deaths) adn net migration Population cohorts typically 5-year ranges Visualized in population pyramid model
Cohort-Component Method ## Footnote Cohort survival, on the other hand, is a specific part of the cohort-component method, focusing on how a cohort (a group of people born in the same year) survives over time due to mortality.
30
Constant vs. Shift Share
Constant-Share: Assumes that the local economy will grow at the Same rate as the larger (reference) economy Shift-Share: Recognizes that local economy rarely maintains a constant share of the reference economy Modifies "constant-share" method by adding a "shift" term in the formula that accounts for the differences between the local and reference area's growth rates The "shift" term is equal to the difference between an industry's local growth rate and that of the reference economy for a specified period Assumes that the difference between the local and reference economy growth rates will remain constant over time
31
Selected from a populatoin that is divided into multiple groups or classes provides best results because it ensures even coverage of the population but maintains the random selection probability
Stratified Sample | Disproportional: when sampling is stratified but not proportional to the
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* Estimates are calculated for current population levels * Projections are calculated for future population levels * Forecasts are subjective and apply only to selected projections * Migration is the movement of people into and out of a given study area * Birth Rate is the total number of babies born per 1000 females in their childbearing years (typically 15-40) * Death Rate is the total number of deaths per 1000 people in the total population
* Estimates are calculated for current population levels * Projections are calculated for future population levels * Forecasts are subjective and apply only to selected projections * Migration is the movement of people into and out of a given study area * Birth Rate is the total number of babies born per 1000 females in their childbearing years (typically 15-40) * Death Rate is the total number of deaths per 1000 people in the total population
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A population of at least 100,000 people and includes at least one city that has a population of at least 50,000 people or an urbanized area
Metropolitan Statistical Area