Word Scramble

target population
simple random
sampling frame

Probability and Statistics Word Search

Word Search

Stratified Sample
Random Sample
Cluster Sample
Inferential Statistics
Descriptive Statistics
Qualitative Data
Quantitative Data
Ordinal Level
Interval Level
Nominal Level
Ratio Level
Confounding Variable

Statistics Crossword


Some from all Stratified
Numbers and things that go into a category Categorical
All form some Cluster
A survey using a system Systematic
Smaller group from the survey Sample
All the data that you can see Descriptive
The people that were missed by your means of survey Undercoverage
The worst kind of survey Convenience
A study using the sample Surveys
The entire group Population
Simple Random Survey SRS
Can do meaningful math Quantitative
Assume, deduce, decide Inferential
A study using the entire population Census
Favritism Bias

Statistics Vocabulary Crossword


Facts and statistics collected together for reference or analysis Data
Practice or science of collecting and analyzing numerical data in large quantities Statistics
The entire pool from which a statistical sample is drawn Population
Official count or survey of a population Census
A small part or quantity intended to show what the whole is like Sample
A numerical or other measurable factor forming one of a set that defines a system or sets the conditions of its operation Parameter
A fact or piece of data from a study of a large quantity of numerical data Statistic
Data expressing a certain quantity, amount or range Quantitative Data
Is typically descriptive data and as such is harder to analyze than Quantitative data Qualitative Data
Results from either a finite number of possible values or a countable number Discrete
Results from infinitely many possible values that can be on a continuous scale without gaps or interruptions Continuous
Level if measurement of data; characterizes data that consists of names, labels ,or categories only. Nominal
Characterizes data that may be arranged in order, but differences between data values either cannot be determined or are meaningless Ordinal
Characterizes data that can be arranged in order, but differences between data values are meaningful Interval
Characterizes data that can be arranged in order, for which differences between data values are meaningful, and there is an inherent zero starting point. Ratio
Study in which we observe and measure specific characteristics, but dont attempt to manipulate or modify the subjects being studied Observational Study
Study in which data are observed, measured, and collected at one point in time Cross Sectional Study
Longitudinal cohort study that follows over time a group of similar individuals who differ with respect to certain factors under study, to determinehow these factors affect rates of certain outcome Prospective Study
Studies a cohort of individuals that share a common exposure factor to determine its influence Retrospective Study
a variable in a statistical model that correlates (directly or inversely) with both the dependent variable and an independent variable. Confounding
The practice of keeping patients in the dark as to whether they are receiving a placebo or not. Blinding
noun: placebo effect; plural noun: placebo effects a beneficial effect, produced by a placebo drug or treatment, that cannot be attributed to the properties of the placebo itself, and must therefore be due to the patient's belief in that treatment. Placebo Effect
denoting a test or trial, especially of a drug, in which any information that may influence the behavior of the tester or the subject is withheld until after the test. Double Blind
With a randomized block design, the experimenter divides subjects into subgroups called blocks, such that the variability within blocks is less than the variability between blocks. Then, subjects within each block are randomly assigned to treatment conditions. Blocks
the repetition of an experimental condition so that the variability associated with the phenomenon can be estimated. Replication
type of probability sampling method in which sample members from a larger population are selected according to a random starting point and a fixed periodic interval. Systematic Sampling
One of the non-probability sampling methods Convenience Sampling
Type of sampling method where the researcher divides the population into seperate groups, called strata Stratified Sampling
sampling technique used when "natural" but relatively heterogeneous groupings are evident in a statistical population Cluster Sampling
the error caused by observing a sample instead of the whole population Sampling Error
the deviations of estimates from their true values that are not a function of the sample chosen, including various systematic errors and random errors that are not due to sampling. Nonsampling Error
a method of selecting a sample (random sample) from a statistical population in such a way that every possible sample that could be selected has a predetermined probability of being selected Random Sample
subset of a statistical population in which each member of the subset has an equal probability of being chosen. Simple Random Sample
Subjects that are very carefully chosen Rigorously Controlled Design
subjects are put into blocks through a process of random selection Completely Randomized Design

Chapter 1: Statistics Crossword


Consists of information coming from observations, counts, measurements, or responses. Data
The science of collecting, organizing, analyzing, and interpreting data in order to make decisions Statistics
The collection of all outcomes, responses, measurements, or counts that are of interest Population
A subset of a population Sample
A numerical description of a population characteristic Parameter
A numerical description of a sample characteristic Statistic
The branch of statistics that involves the organization, summmarization, and display of data Descriptive Statistic
Consists of attributes, labels, or nonnumerical entries Qualitative Data
Consist of numerical measurements or counts Quantitative Data
Occurs when an experiment cannot tell the difference between the effects of the different factors on a variable. Confounding Variable
A technique where the subject does not know whether he or she is receiving a treatment or a placebo Blinding
A process of randomly assigning subjects to different treatment groups. Randomization
The repetition of an experiment using a large group of subjects. Replication
A count or measure of an entire population. Census
On in which every member of he population has an equal chance of being selected. Random Sample
Depending on the focus of the study, members of the population are divided into two or more subsets Stratified Sample
Divide the population into groups and select the members in one or more groups Cluster Sample
Each member of the population is assigned a number Systematic Sample
Convenience Sample Convenience Sample

Statistics Chapter 1 Crossword


A ______ is a numerical facsimile or representation of a real-world phenomenon. simulation
_____ are measurements or observations from which the entire population are used. census
A _____ is a group of individuals sharing some common features the might affect the treatment. Block
A ____ is a list of individuals from which a sample is actually selected. Sampling Frame
A ____ is the result of poor sample design, sloppy data collection, faulty measuring instruments, bias in questionaries and so on. Non sampling Error
____ results from omitting population members from the sample frame. Over coverage
In _____, are only from some of the individuals of interest. sample data
A ____ is a numerical measure that describes an aspect of the population. parameter
____ sampling uses a variety of smapling methods to create successively smaller groups at each stage. multistage clustering
Population divided into subgroups. Stratified
A measurement or observation from which only a part of the population is used. sample

Chapter 3 Review - Experiments and Samples Crossword


researchers have no influence observational
researchers deliberately impose a treatment experimental
an explanatory variable in an experiment factor
a specific experimental condition that is imposed on the subjects treatment
a group of units that are similar in some way that may affect their response block
always as two treatments, two ways to design matched pairs
entire group of interest population
a subset of the population that we measure sample
biased and are not representative of any larger group voluntary response
population is divided by a similar characteristic stratified
all samples are equally likely to be chosen simple random sample
every kth individual in the population is selected systematic
population is divided into groups (think apartment complex) cluster
list of population members from which we chose our sample sampling frame
certain members, who may have a different opinion of a population are not included undercoverage
bias occuring from the way samples are selected sampling bias
when a large portion of the sample either cannot be contacted or choose not to respond non-response bias
when people lie when giving answers on a survey response bias
questions are worded in a way to get them to give you the answers you want deliberate bias
occurs when questions are not clear or could easily be misinterpretted unintentional bias

statistics vocab Crossword


numbers or information describing some characteristic data
collection of data from every element of a population census
measured characteristic of a sample stastistic
data where the number of possibilities is finite discrete
characterizes data may be arranged in order ordinal
data you find and observe observational
situation occurs when effects of 2 or more variables can not be distinguished from each other confounding
groups of subjects that are similar blocks
data is readily available convience
difference between population result and true population samplingerror
sample of particular size simplerandomsample
methods for planning experiments, obtaining data, summerizing, etc. statistics
subset of a population sample
observations made by counting quantitative
infinatley many possible values continuous
level of measurement interval
data is observed from one point of time crosssectional
experiments undergo a placebo blinding
repetition of an expiriment replication
samples are drawn from groups stratified
untreated subject believes they are under treatment placeboeffect
entire collection of elements to be studied population
measured characteristics parameter
observation using senses qualitative
characterizes data by names and labels nomial
data that can be arranged in order like a fraction ratio
data is collected from the past retrospective
subject and person giving subject treatment are under a placebo doubleblind
every (x) element is selected systematic
randomly selecting subjects in a population cluster

Sampling Techniques Crossword


Choosing one section of a target population to participate in an experiment Cluster
Choosing one section of a target population to participate in the experiment. Cluster
This technique could be criticized for being too selective but is often the most effective (especially in qualitative research). Purposive
Only choosing one section of the targeted population to participate in the experiment Purposive
Every member of targeted population has the same chance of being able to participate. Random
Example is: using a random number or flipping a coin Random
People are invited to participate in experiment because they can be contacted easily Opportunity
Using easy subjects as participants (ex. psychology students) Opportunity
The targeted population can be categorized Stratified
Equal amount from each category for target population ( 10 junior girls and 10 junior guys) Stratified
Participant invites other people they know to join the experiment Snowball
gives the researchers a large population to study, though it can be easily viewed as biased Snowball

AP Statistics Unit 3 Partner Assessment Crossword


a ______ random sample consists of separate simple random samples drawn from groups of similar individuals. stratified
A "fake" treatment that is sometimes used in experiments placebo
I want to test if a sugar substitute in coffee is liked by people. Some people are given the sugar substitute and some are given sugar. The group that gets the sugar is called the _______ group. Control
The process of drawing a conclusion about the population based on a sample Inference
this type of study can not be used to establish a cause-effect relationship observational
the practice of using enough subjects in an experiment to reduce chance variation replication
a study that systematically favors certain outcomes shows this bias
this occurs when some groups in the population are left out of the process when choosing the sample undercoverage
when treatment is imposed in order to observe a response experiment
the entire group of individuals about which we want information population
groups of similar individuals in a population strata
this occurs when an individual chosen for the sample cannot be contacted or refuses to participate nonresponse
an observed effect that is too large to have occurred by chance alone significant
a sample in which we choose individuals who are easiest to reach convenience
a _______ response sample consists of people who choose themselves by responding to a general appeal voluntary
neither the subjects nor those measuring the response know which treatment the subject received (two words) double blind
when units are humans, the are called subjects
the name of all employees are placed in a hat and 15 names are drawn for a prize. What type of sample is this? simple random sample
students are given a pre-test on the Civil War. I then give them a chapter to read on the subject, then give a post-test. The chapter they read is called the ______. treatment
There are 20 socks in a drawer, i randomly remove 4 socks to see if I get at least one matching pair. The four socks are called a _______. sample

Statistics puzzle Crossword


The study of how to collect, organize, analyze, and interpret data Statistics
The people or objects included in the study Individuals
A characteristic of the individual to be measured or observed Variable
The mean of the population Parameter
Mean of a sample Statistic
A numarical facsimile or representation of a real-world phenomenon Simulation
Divid entire population into subgroups called strata Stratified sampling
Number all members of population sequentially. Systematic Sampling
Results from omitting population members from the sample frame Undercoverage
A list of individuals from which a sample is actually selected Sampling Frame
Measurement or observation from entire population Census
Measurement or observation from part of the population sample
Divid the entire population into pre-existing segments or clusters Cluster sampling
Create a sample by using data from population members that are readily avalible Convenience sample
Use a variety of sampling methods to create successively smaller groups at each stage Multistage sampling