HW 01
Class: STAT-211
Notes:
1.
These questions were stolen from later homework. We will learn how to answer the question given in the problem later. Identify the parameter being tested and the statistic that corresponds to it. (it will be a hypothesized parameter, meaning we are testing if believe it is really the parameter. Do not include any units. Note the answer is only looking for a number - not words.)
a) A doctor believes that someone who smokes Marijuana will have a lower body temperature than the usual 98.6°. He samples 41 marijuana smokers for an average of 100° with a standard deviation of 3.8°. Using 𝛼=0.05 test whether this average is significantly lower than normal.
Parameter: 𝜇 = 98.6
Statistic: x = 100
b) The USDA thinks that on average 114 feed deliveries are late each day. To see how close they are, the next 365 days are watched. The average is 123 late deliveries daily with a standard deviation of 28 deliveries. Test whether the USDA is right using 𝛼=0.05.
Parameter: 𝜇 = 114
Statistic: x = 123
c) A mad scientist declares that the average weight of a brain is not less than 1104 grams. Igor doesn't believe him, so he randomly selects 1665 brains and finds the average weight is 1193 grams with a standard deviation of 328 grams. Can he conclude with an 𝛼 of 0.11 that the scientist is wrong?
Parameter: 𝜇 = 1104
Statistic: x = 1193
d) I asked 982 random statistics students how many hours they spend on homework. I found an average of 7.5 hours with a standard deviation of 3.9 hours. According to the learning objectives, students taking a 4-credit class are expected to do 12 hours of homework per week on average. Do I have enough evidence to prove my students are spending less time on their homework than they are supposed to?
Parameter: 𝜇 = 12
Statistic: x = 7.5
2.
Refer to the previous question describing the study of 22,071 male physicians who were randomly assigned to take either an aspirin or a placebo every other day. Match each of the following terms to its correct description:
b. sample a. all US males aged 40 or older
a. population b. the 22,071 male physicians
c. subject c. a physician in the study
3.
Choose the correct answer for each of the following questions.
(a) Which of the following is an example of a qualitative (also called categorical) variable?
- Distance to the nearest grocery store
- Number of pets in your neighborhood
- Age of a person
- Marital status
- Number of water bottles in the classroom
(b) Which of the following variables is discrete?
- Number of candy in jars
- Heights of newborn babies in a hospital
- Blood pressure of patients
- Speed of cars
- Size of apartments
(c) Which of the following is a quantitative (also called numeric) variable for which math makes sense?
- Type of music instrument
- Model of a computer
- A person's region
- Brand of a truck
- Number of shoes in your apartment
4.
List whether each is categorical or numerical.\
a) The length of the forearm from elbow to wrist (in centimeters).
- Numerical
- Categorical
b) Whether or not the person has ever been the victim of a crime.
- Numerical
- Categorical
c) Number of music CDs owned.
- Numerical
- Categorical
d) Feeling about own weight (overweight, about right, underweight).
- Numerical
- Categorical
5.
The management of the San Diego Union-Tribune newspaper wanted to understand the average salary level of its subscribers. 1,000 subscribers were randomly selected to be interviewed so that this information could be collected.
a) The sample is:
- 1,000 randomly selected subscribers to the San Diego Union-Tribune
- 1,000 subscribers who chose to take a survey
- all San Diego Union-Tribune subscribers who are employed
- all San Diego Union-Tribune subscribers
b) The population is:
- All San Diego Union-Tribune subscribers
- 1,000 subscribers who chose to take a survey
- 1,000 randomly selected subscribers to the San Diego Union-Tribune
- all San Diego Union-Tribune subscribers who are employed
6.
In 2000, there were 7,867 cases of whooping cough in the U.S., while in 2002, there were 9,771 cases, according to the CDC. What might be misleading about concluding from these data that more people were getting whooping cough in 2002?
- The population also likely grew during that time, so they should report proportions of the population instead of counts.
- The fact that people were sick skewed the distribution, so they should have used the median for measuring the center of the number of cases of whooping cough.
- Counts are not resistant to outliers, so they should have used a resistant measure of center.
- The number of cases of whooping cough probably has a right skewed distribution, so they should use the median instead of the mean number of cases of whooping cough.
7.
Choose the correct answer for each of the following questions.
a) Which of the following is an example of a qualitative or categorical variable?
- Monthly income
- Eye color
- Number of books read in one month
- Age of students
- Weight of a person
b) Which of the following variables is discrete?
- Height of students in a class
- Temperature in a room
- Daily rainfall measured in millimeters
- Number of cars in a parking lot
- Time taken to run a marathon
c) Which of the following is a quantitative or numeric variable?
- Zipcode (e.g., TAMU's zipcode is 77843)
- Brand of smartphone
- Number of siblings
- Type of cuisine
- Favorite color
8.
An ecologist was interested in how fish distribution (specifically, the ratio of catfish to other fish) in a lake changed over time. The current study of 1028 fish contained 523 catfish. The ecologist estimated that 50.9% of the fish in the lake were catfish.
Which of the following is (are) the variable(s) of interest in this study?
- The 50.9% of the fish that were catfish
- That’s a statistic (the sample proportion), not the variable.
- The number 50.9%
- Same, just the statistic value.
- All the fish in the lake
- That’s the population, not the variable.
- Whether or not the fish were catfish
- Yes, this is the variable of interest (categorical: catfish vs. not catfish).
- Think about what is being measured/observed
- The catfish and the fish that were not catfish
- Also describing the variable’s categories.
- The 1028 fish in the study
- That’s the sample, not the variable.
9.
Which of the following are examples of ordinal data?
- IMDB Movie Ratings on a scale of 1-10
- Ordinal (ordered scale; differences are subjective, not truly equal intervals).
- Height of an individual (recorded as "tall", "medium", and "short")
- Ordinal (ordered categories, not numeric).
- Heights of a group of individuals (measured in centimeters)
- Age groups of individuals measured as "0-10 years", "11-20 years", "21-30 years", and so on.
- Ordinal (ordered categories, though based on ratio age).
- Number of Credit Hours
- Google reviews of restaurants in Houston (recorded on a scale of 5 stars)
- Ordinal (ranked, but difference between 4 and 5 stars ≠ difference between 1 and 2 stars exactly).
- Intelligent Quotient (IQ) of a group of people
- Letter grades of STAT 211 students at the end of the Fall 2024 semester.
- Ordinal (ordered, but not equal spacing).
- ZIP Codes in Texas
- Socioeconomic status (recorded as "low income", "middle income", and "high income")
- Ordinal (ordered categories).
- UIN of students at Texas A&M
- Phone Numbers of people in College Station
10.
For each scenario say whether the numerical variable described is discrete or continuous.
Continuous Your age
Continuous The length of your femur bone
Discrete The number hours you are enrolled this semester
Discrete The deaths from airline crashes last year
Continuous The amount of blood in your body
Discrete How many green checks you have on this homework assignment
Continuous Your blood pressure
The amount of money you have
- Continuous
- Discrete
- Trick question - if it's money in my pocket it's discrete, but the bank treats money like it's continuous
11.
Choose the correct answer for each of the following questions.
(a) Which of the following is an example of a qualitative (also called categorical) variable?
- Height of a person
- Number of questions you solved in a day
- Rainfall in college station
- Blood type
- Number of books in library
(b) Which of the following variables is discrete?
- Number of students in classroom
- Weights of newborn babies in a hospital
- Blood sugar of patients
- Speed of airplanes
- Size of parks
(c) Which of the following is a quantitative (also called numeric) variable?
- Type of music genre
- Model of a smartphone
- A person's name
- Brand of a car
- Number of T-shirts in your apartment
12.
The BBC reported that, on average, college students drink 33 ounces of alcohol per week. CNN picked up the story because in the US, the average is only 24 ounces per week. Assume we want to test if that average is different for TAMU students, so we hire surveyors from all over the state of Texas, and they randomly select 100 students from the athletics department at A&M. They find the average is 16 ounces per week.
What is the population for which these results are valid?
- College students across the world
- All college students in Texas
- All people in the state of Texas
- Athletic students at A&M
- All people across the world
- People in the US
- All students at A&M
- College students in the US