Statistics Using
Technology Unit 1 2026 |
Study Guide, Questions &
Answers
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Updated 2026 Questions and Answers
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Rationales
Included
, quantitative variable numerical information collected that counts or measures something for each
object
Some examples: height, weight, number of absences
quantitative-discrete variable numerical information that counts how many
Some examples: number of credit cards you have, number of siblings you have
quantitative-continuous variable numerical information that measures how much
Some examples: height, weight, temperature, speed
observational study A study where someone measures the value of the response variable without
attempting to influence the value of either the response or explanatory variable.
The researcher simply observes; the researcher does not control the values of
either variables.
designed experiment A study where a researcher assigns the individuals in a study to a certain group,
intentionally changes the value of the explanatory variable, and then records the
value of the response variable for each group.
conclusion from an observational study There is (or is not) an association between the explanatory variable and the
response variable. For example, there is an association between the increased
study time and increased test scores.
conclusion from a designed experiment Changing the value of the explanatory variable causes a change in the response
variable. For example, studying more hours causes a higher test score.
simple random sampling choosing a sample in such a way that every sample of size n has the same chance
of being chosen from a population of N objects.
How can you pick a simple random sample using your Use randInt(1,N,2n) and then take the first n distinct numbers and then use the
calculator if you have a numbered list of objects in the numbered list to see what objects these numbers correspond to.
population?
stratified sampling Sampling where the population is divided into subgroups and a random sample is
taken from each subgroup to be included in the sample. (Taking some from all
subgroups)
systematic sampling Sampling where the objects are somehow ordered and then you start with a
randomly chosen object and then take every kth object thereafter.
cluster sampling Sampling where the population is divided into subgroups and whole subgroups
are randomly selected to be included in the sample. (Taking all from some
subgroups)
convenience sampling Sampling done where the objects are easy to obtain. "Hey you" sampling.
sampling error The natural tendency for samples to be different from each other and different
from the population from which they were taken.
What is the symbol for sample size? n
Technology Unit 1 2026 |
Study Guide, Questions &
Answers
|Graded A+ | Guaranteed
success|
Updated 2026 Questions and Answers
100% Verified Exam Prep and Comprehensive
Rationales
Included
, quantitative variable numerical information collected that counts or measures something for each
object
Some examples: height, weight, number of absences
quantitative-discrete variable numerical information that counts how many
Some examples: number of credit cards you have, number of siblings you have
quantitative-continuous variable numerical information that measures how much
Some examples: height, weight, temperature, speed
observational study A study where someone measures the value of the response variable without
attempting to influence the value of either the response or explanatory variable.
The researcher simply observes; the researcher does not control the values of
either variables.
designed experiment A study where a researcher assigns the individuals in a study to a certain group,
intentionally changes the value of the explanatory variable, and then records the
value of the response variable for each group.
conclusion from an observational study There is (or is not) an association between the explanatory variable and the
response variable. For example, there is an association between the increased
study time and increased test scores.
conclusion from a designed experiment Changing the value of the explanatory variable causes a change in the response
variable. For example, studying more hours causes a higher test score.
simple random sampling choosing a sample in such a way that every sample of size n has the same chance
of being chosen from a population of N objects.
How can you pick a simple random sample using your Use randInt(1,N,2n) and then take the first n distinct numbers and then use the
calculator if you have a numbered list of objects in the numbered list to see what objects these numbers correspond to.
population?
stratified sampling Sampling where the population is divided into subgroups and a random sample is
taken from each subgroup to be included in the sample. (Taking some from all
subgroups)
systematic sampling Sampling where the objects are somehow ordered and then you start with a
randomly chosen object and then take every kth object thereafter.
cluster sampling Sampling where the population is divided into subgroups and whole subgroups
are randomly selected to be included in the sample. (Taking all from some
subgroups)
convenience sampling Sampling done where the objects are easy to obtain. "Hey you" sampling.
sampling error The natural tendency for samples to be different from each other and different
from the population from which they were taken.
What is the symbol for sample size? n
