Exam 1 - Grad Stats Correct Questions
& Answers!!
Select all statements that are true about statistics.
1 Statistics are used to organize and summarize data.
2Statistics are used to interpret information.
3 Statistics allow inferences to be drawn about a sample group.
4 Statistics must be handled responsibly. - ANSWER1,2,4
qualitative variables - ANSWERvariables measured by category or label
quantitative variables - ANSWERvariables measured in numerical terms
discrete variables - ANSWERinvolves counting whole numbers (0,1,2,3)
e.g. religion, number of patients in a hospital
What are statistics? - ANSWERStatistics is the mathematical field that helps us
organize, describe, and interpret information or data. Often included are
mathematical formulas and calculations to help better understand large sets of
information.
Name 3 reasons why statistics are important. - ANSWER1. Statistics allow data to
be described and communicated concisely. For example, it is not feasible for an
instructor to report all 35 exam scores for feedback. Instead, the instructor can
provide an average so the student can have an idea of how well he or she did.
2. Statistics allow us to draw inferences about data, especially in science. An
example is that researchers can study people with depression and the effect of
medication by taking a sample of say 1,000 people with depression since it is
unrealistic to interview every single person with depression. Further statistical
methods can lead to an inference about whether this medication is effective at
treating depression.
3. Statistics give us the tools to make everyday decisions. As a consumer of
products and information, an understanding of statistics allows us to critically
evaluate information presented to us and make responsible decisions. This helps us
avoid falling to false information and fake news.
continuous variables - ANSWERinvolves measuring where the value can take a
fraction or decimal values between two numbers
e.g. temperature, height, weight, TIME
Select all items below that represent qualitative variables.
1 number of floors in a skyscraper
2 model of car
3 zip code
, 4 shoe size - ANSWER1, 2, 3, 4
The number of hours that a college student studies for final exams is a quantitative
variable. Which statement below justifies this variable type?
1 The number of hours is a count of using whole numbers.
2 The number of hours is a label or category.
3 The number of hours is numeric and can be expressed as a decimal or fraction of
a whole number.
4 The number of hours a student studies is a characteristic of the student. -
ANSWER3= quantiative
----
2= qualitative
1= discrete
Describe the differences between qualitative and quantitative data. Provide an
example of each. - ANSWERQuantitative data includes variables involving numbers
that is measured as fractions or counted as whole numbers. One example of a
quantitative variable is weight in kg, with an example datum of weight of 58.5 kg.
In contrast, qualitative data does not involve measuring or counting numbers, but
rather involves labels, names, and categories. Examples of qualitative data include
eye color of green, female gender, agnostic religion, and the presence of cancer.
Ranking soccer teams as elite, platinum, gold, and silver would be an example of
______a(n) scale of measurement.
1 nominal
2 ordinal
3 ratio
4 interval - ANSWER2 ordinal
ordinal because the teams are ranked by size or magnitude
Categorizing the sports offered by school districts in your state would be an example
of ______________ a(n) scale of measurement.
1 nominal
2 ordinal
3 ratio
4 interval - ANSWER1 nominal
What are discrete variables? Continuous variables? Be able to provide an example
of each. - ANSWERQuantitative variables can be either discrete or continuous.
Discrete variables can be organized into separate categories or counted using whole
numbers. Qualitative variables are discrete variables. Examples of discrete variables
include religion and number of people in a classroom.
Continuous variables can be broken down into fractions or decimal components.
Examples of continuous variables include height, weight, and temperature.
& Answers!!
Select all statements that are true about statistics.
1 Statistics are used to organize and summarize data.
2Statistics are used to interpret information.
3 Statistics allow inferences to be drawn about a sample group.
4 Statistics must be handled responsibly. - ANSWER1,2,4
qualitative variables - ANSWERvariables measured by category or label
quantitative variables - ANSWERvariables measured in numerical terms
discrete variables - ANSWERinvolves counting whole numbers (0,1,2,3)
e.g. religion, number of patients in a hospital
What are statistics? - ANSWERStatistics is the mathematical field that helps us
organize, describe, and interpret information or data. Often included are
mathematical formulas and calculations to help better understand large sets of
information.
Name 3 reasons why statistics are important. - ANSWER1. Statistics allow data to
be described and communicated concisely. For example, it is not feasible for an
instructor to report all 35 exam scores for feedback. Instead, the instructor can
provide an average so the student can have an idea of how well he or she did.
2. Statistics allow us to draw inferences about data, especially in science. An
example is that researchers can study people with depression and the effect of
medication by taking a sample of say 1,000 people with depression since it is
unrealistic to interview every single person with depression. Further statistical
methods can lead to an inference about whether this medication is effective at
treating depression.
3. Statistics give us the tools to make everyday decisions. As a consumer of
products and information, an understanding of statistics allows us to critically
evaluate information presented to us and make responsible decisions. This helps us
avoid falling to false information and fake news.
continuous variables - ANSWERinvolves measuring where the value can take a
fraction or decimal values between two numbers
e.g. temperature, height, weight, TIME
Select all items below that represent qualitative variables.
1 number of floors in a skyscraper
2 model of car
3 zip code
, 4 shoe size - ANSWER1, 2, 3, 4
The number of hours that a college student studies for final exams is a quantitative
variable. Which statement below justifies this variable type?
1 The number of hours is a count of using whole numbers.
2 The number of hours is a label or category.
3 The number of hours is numeric and can be expressed as a decimal or fraction of
a whole number.
4 The number of hours a student studies is a characteristic of the student. -
ANSWER3= quantiative
----
2= qualitative
1= discrete
Describe the differences between qualitative and quantitative data. Provide an
example of each. - ANSWERQuantitative data includes variables involving numbers
that is measured as fractions or counted as whole numbers. One example of a
quantitative variable is weight in kg, with an example datum of weight of 58.5 kg.
In contrast, qualitative data does not involve measuring or counting numbers, but
rather involves labels, names, and categories. Examples of qualitative data include
eye color of green, female gender, agnostic religion, and the presence of cancer.
Ranking soccer teams as elite, platinum, gold, and silver would be an example of
______a(n) scale of measurement.
1 nominal
2 ordinal
3 ratio
4 interval - ANSWER2 ordinal
ordinal because the teams are ranked by size or magnitude
Categorizing the sports offered by school districts in your state would be an example
of ______________ a(n) scale of measurement.
1 nominal
2 ordinal
3 ratio
4 interval - ANSWER1 nominal
What are discrete variables? Continuous variables? Be able to provide an example
of each. - ANSWERQuantitative variables can be either discrete or continuous.
Discrete variables can be organized into separate categories or counted using whole
numbers. Qualitative variables are discrete variables. Examples of discrete variables
include religion and number of people in a classroom.
Continuous variables can be broken down into fractions or decimal components.
Examples of continuous variables include height, weight, and temperature.
