Elementary Statistics Chapter 1 Review
Nine out of ten on-the-job fatalities are men, is it Descriptive statistics or inferential statistics?
descriptive you are organizing the data
Expenditures in the cable industry were $5.66 billion in 1996, is it Descriptive statistics or inferential statistics?
descriptive you are organizing total the expenditures
The national average annual medicine expenditure per person is $1052, is it Descriptive statistics or inferential statistics?
descriptive you are using a mean formula to determine annual medicine expenditure.
The median Household income for people aged 24-35 is $35,888, is it Descriptive statistics or inferential statistics?
descriptive your are using means formula to determine household income
The average stay in a hospital for 2000 patients who had circulatory system problems was 4.7 days, it is Discrete or continuous?
.descriptive because you are using a mean formula to determine average stay.
Describe a confounding variable?
A variable that influences the outcome or dependent variable. It cannot be separated from the independent variable.
Ages of people living in a personal care home. (1-2), is it a Qualitative variable or Qualitative variable?
Quantitative because it is numerical and can be ordered or ranked.
Capacity of the NFL football stadiums, is it a Qualitative variable or Qualitative variable?
Quantitative because it is numerical and can be ordered or ranked.
Ounces of ice cream in a large milkshake, is it a Qualitative variable or Qualitative variable?
Quantitative because it is numerical and can be ordered or ranked.
The 30 high-temperature readings of the last 30 days., is it Qualitative or quantitative?
Quantitative because it is numerical and can be ordered or ranked.
The numbers on the jerseys of 53 football players on a team, is it Qualitative or quantitative?
Quantitative because it is numerical and can be ordered or ranked.
The scores of 40 students on an English test, is it Qualitative or quantitative?
Quantitative because it is numerical and can be ordered or ranked.
Time it takes to run a marathon, is it a Qualitative variable or Qualitative variable?
Quantitative because it is numerical and can be ordered or ranked.
Weights of lobsters in a tank in a restaurant, is it a Qualitative variable or Qualitative variable?
Quantitative because it is numerical and can be ordered or ranked.
Classify each variable using the appropriate terms from the following list: qualitative, quantitative, continuous, and discrete. Voter participation in past federal elections, as a percentage
Quantitative, continuous Quantitative because it is numerical and can be ordered or ranked, continuous because the percentage can be measured.
Classify each variable using the appropriate terms from the following list: qualitative, quantitative, continuous, and discrete. Daily temperature (in degrees Fahrenheit) for last August.
Quantitative, continuous Quantitative because it is numerical and can be ordered or ranked, continuous because the temperature can be measured.
Classify each variable using the appropriate terms from the following list: qualitative, quantitative, continuous, and discrete. Weight (in grams) of tomatoes at a grocery store.
Quantitative, continuous Quantitative because it is numerical and can be ordered or ranked, continuous because the weight can be measured.
Classify each variable using the appropriate terms from the following list: qualitative, quantitative, continuous, and discrete. Number of times person checks their e-mail per day.
Quantitative, discrete Quantitative because it is numerical and can be ordered or ranked, discrete becasue the number of times a person checked their e-mail per day are data that can be counted.
In the year 2010, 148 million Americans will be enrolled in HMO, is it Descriptive statistics or inferential statistics?
inferential because you making a prediction
Drinking decaffeinated coffee can raise cholesterol levels by 7%, is it Descriptive statistics or inferential statistics?
inferential you are making a prediction
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): ages of students in a statistics class.
interval
Name some common types Descriptive statistics?
mean mode median range
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): hair color of women on a high school tennis team.
nominal
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): list of 1247 social security numbers.
nominal
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): List of zip codes for Chicago.
nominal
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): The nationalities listed in a recent survey
nominal
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): marriage status of the faculty at the local community college
nominal
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): numbers on the shirts of a girls' soccer team
nominal
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): the ratings of a movie ranging from "poor" to "good" to "excellent".
ordinal
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): The final grades (A,B,C,D, and F) for students in a chemistry class.
ordinal
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): ages of students in a statistics class.
ratio
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): number of milligrams of tar in 28 cigarettes.
ratio
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): The amount of fat (in grams) in 44 cookies
ratio
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): The annual salaries for all teachers in Utah.
ratio
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): The data listed on the horizontal axis in the graph.
ratio
Identify the data set's level of measurement (nominal, ordinal, interval, ratio): number of pages in your statistics book
ratio
Describe independent variables?
A variable being manipulated/controlled by the researcher. A variable that is believed to affect the research outcome. Explanatory variable: The variable that is explaining the response or dependent variabl
Name the types of confounding variables?
Age and height Disease and location
Relative humidity levels in operating rooms at local hospitals, it is Discrete or continuous?
Continuous because humidity level that can be measured.
Lifetimes (in hours) of 15 iPod batteries, it is Discrete or continuous?
Continuous because lifetimes of iPod batteries can be measured.
Weights of the backpacks of first graders on a school bus,it is Discrete or continuous?
Continuous because the weight of first graders backpack can be measured.
Describe Discrete data?
Counted Can only be particular values (integers). There may potentially be an infinite number of those values, but each is distinct and there's no grey area in between. Can be numeric; number of apples, number of sports cars, but it can also be categorical -- like red or blue, or male or female, or good or bad -- like apples and oranges or oranges and apples but not continuous.
Describe the types of Qualitative data?
Deal with description. Data can be observed but not measured. Colors, textures, smells, tastes, appearance, beauty, etc.
Describe the types of Quantitative data?
Deals with numbers. Data which can be measured. Length, height, area, volume, weight, speed, time, temperature, humidity, sound level, cost, memebers, ages, etc.
What does Descriptive statistics do?
Describes, show or summarizes data in a meaningful way.
The two types of statistics?
Descriptive statistics and inferential statistics
What are the two types of Quantitative data?
Discrete and continuouose
Number of bananas in a bunch at several local supermarkets, it is Discrete or continuous?
Discrete becasue bananas in a bunch are data that can be counted.
Number of pizzas sold by Pizza Express each day, it is Discrete or continuous?
Discrete becasue pizza's are data that can be counted.
Number of students each day who make appointments with a math tutor at a local college, it is Discrete or continuous?
Discrete becasue students who make appointments with math tutor are data that can be counted.
Name some types of observational studies?
Exit polls Survey's Comparing game scores between two teams.
Describe Continuous data?
Measured Data not restricted to defined separate values, but can be occupy any value over a continuous range. Between any two continuous data values there may be an infinite number of others. Numeric Quantitative (height, weight, length).
Name the types of Variables in statistics?
Independent variables Dependent variables Confounding variables
Allergy therapy makes bees go away, is it Descriptive statistics or inferential statistics?
Inferential because you are making a prediction
By 2040 at least 3.5 billion people will run short of water (World Future Society), is it Descriptive statistics or inferential statistics?
Inferential you are making a perdiction
Experts say that mortgage rates may soon hit bottom, is it Descriptive statistics or inferential statistics?
Inferential you are making a perdiction
Name some typical Descriptive statistics?
Numerical summaries graphical representations
Name the types of statistical studies?
Observation and experiment
Describe dependent variable?
Outcome variable or measured results.
The grade point averages (GPAs) of all students at a college, is it a population or a sample?
Population
What are the types of data?
Qualitative and Quantitative data
Classify each variable using the appropriate terms from the following list: qualitative, quantitative, continuous, and discrete. Letter grades (A, B, C, D, or F) that an English 100 class received on their essays.
Qualitative becasue they are classified according into distinct categories.
Classify each variable using the appropriate terms from the following list: qualitative, quantitative, continuous, and discrete. Political party, if any, that a person voted for in the last provincial election.
Qualitative becasue they are classified according into distinct categories.
Colors of automobiles in a shopping center parking lot, is it a Qualitative variable or Qualitative variable?
Qualitative becasue they are classified according into distinct categories.
Marital status of nurses in a hospital, is it a Qualitative variable or Qualitative variable?
Qualitative becasue they are classified according into distinct categories.
The blood types of 120 teachers in a middle school, is it Qualitative or quantitative?
Qualitative becasue they are classified according into distinct categories.
The last four digits of social security numbers of all students in a class, is it Qualitative or quantitative?
Qualitative becasue they are classified according into distinct categories.
The GPAs of a randomly selected group of students on a college campus, is it a population or a sample?
Sample
Name some types of experimental studies?
Testing a specific drug on a patient outcome. Testing different fertilizers on one type of crop.
What is statistics?
The process of collecting information to allow for scientific and social advances. The collecting and summarization of answering questions regarding a scientific or social study The field of science developed to aide individuals in summarizing information and presenting that information in an informative way. The process of setting up and analyzing experiments to understand the fundamental characteristics of a design or the influence of variables on an outcome.
Describe an experiment?
The researcher controls or manipulates one of the variables and tries to determine how the manipulation influences other variables.
Describe observational studies?
The researcher merely observes what is happening or what has happened in the past and tries to draw conclusions based on these observations.
Explanatory variable
The variable that is explaining the response or dependent variabl
How is Inferential statistics used?
Used to make inferences about a population from a sample. Used to make judgement of the probability that an observed outcome is likely or unlikely to occur. Used to make predictions about future outcomes.