• Define the following terms: • Population: • Sample: • Data: • Variable: • Constant: • Dependent Variable: • Independent Variable: • Attributes/Values: • Provide a definition or example for each of the following measurement scales. • Nominal: • Ordinal: • Interval: • Ratio: • Indicate whether the following represent a variable or a constant.
Added by Paul O.
Close
Step 1
This could include all the students in a university, all the trees in a forest, or all the transactions in a store. Show more…
Show all steps
Your feedback will help us improve your experience
Adi S and 65 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Each value in the data set is called a ? . Variables whose values are determined by chance are called ? . A Blank 1 consists of all subjects (human or otherwise) that are being studied. A Blank 1 is a circle that is divided into sections or wedges according to the percentage of frequencies in each category of the distribution. Tell whether Descriptive or Inferential Statistics has been used. In the upcoming election, it is predicted that candidate Murphy will get 52% of the votes and candidate Patterson will receive 46% of the votes. 1. Descriptive 2. Inferential Tell whether Descriptive or Inferential Statistics has been used. Results of the election last week showed that candidate Patterson received 53% of the votes and candidate Murphy received 44% of the votes. 1. Descriptive 2. Inferential Classify as nominal-level, ordinal-level, interval-level, or ratio-level data. Salaries of employees of the United Nations. 1. Nominal 2. Ordinal 3. Interval 4. Ratio Classify as nominal-level, ordinal-level, interval-level, or ratio-level data. Temperatures of automobile engines. 1. Nominal 2. Ordinal 3. Interval 4. Ratio Classify each variable as discrete or continuous. Capacity of water in automobile engines. 1. Discrete 2. Continuous Classify each variable as discrete or continuous. Temperatures of airplane interiors at a given airport. 1. Discrete 2. Continuous Classify each variable as qualitative or quantitative. Classification of a speaker as Excellent, Good, Fair, Poor, Very Poor. 1. Qualitative 2. Quantitative Classify each variable as qualitative or quantitative. Number of cups of coffee sold by McDonald's in a day. 1. Qualitative 2. Quantitative Identify which sampling technique was used to select the given sample. On a large University campus, students attending classes in 3 buildings on a Tuesday during the hours of 10am and 5PM were selected to complete a survey. 1. Random 2. Systematic 3. Stratified 4. Cluster Identify which sampling technique was used to select the given sample. On a large college campus, faculty were selected using random numbers to determine annual salaries. 1. Random 2. Systematic 3. Stratified 4. Cluster
Shaiju T.
8. (30 points) A study examined survey data from a number of hospitals to determine factors that are associated with the probability of acquiring an infection. Six independent variables were considered, descriptions of which are given in the table. Variable Name Description Age Average age of patients (in years) Length Average length of stay of all patients in hospital (in days) Region Geographic region (NE, NC, S, or W) Nurses Number of full-time-equivalent registered and licensed nurses DailyPatient Average number of patients in hospital per day during study period MedSchool Is the hospital affiliated with a medical school?(1=Yes; 0=No) Assuming that all of the usual model assumptions are satisfied, refer to the model output on the next page to answer the following questions. (a) (5 points) Find the number of surveyed hospitals, n. (b) Refer to the output for Model 1. (i) (5 points) Interpret the estimated coefficient ̣̂βRegionW. (ii) (10 points) Find a 90% confidence interval for βLength. (c) (10 points) Test whether the coefficients for being affiliated to a medical school, for the average number of patients, and for their interaction are all simultaneously zero, at α = 0.05, while keeping the other predictor variables in the model. Model 1: Coefficient summary for the full model with all the independent variables Standard Coefficient Error t Stat P-value Intercept 1.093 1.387 0.788 0.4325 Age -0.025 0.024 -1.016 0.3120 Length 0.414 0.074 5.604 1.76e-07 RegionNC 0.124 0.299 0.415 0.6789 RegionS -0.121 0.302 -0.402 0.6888 RegionW 0.823 0.389 2.117 0.0367 Nurses 0.004 0.002 1.983 0.0500 MedSchool 0.952 0.775 1.229 0.2217 DailyPatient -0.001 0.002 -0.266 0.7906 MedSchool*DailyPatient -0.004 0.002 -1.839 0.0688 Analysis of Variance Model 1: Risk ~ Age + Length + Region + Nurses + MedSchool + DailyPatient + MedSchool*DailyPatient Model 2: Risk ~ Age + Length + Region + Nurses Residual sum Residual degrees Model of squares of freedom Model 1 117.9 103 Model 2 124.8 106
Adi S.
An alumni association at a university wants to gather data on the annual earnings of former students employed as accountants who earned their CPA licenses one year ago. After taking a random sample from university records of all accounting students who graduated a year ago, the alumni association sent out a survey to the selected individuals in the sample and received 75 responses. An analyst for the alumni association used the responses to calculate a 95% confidence interval for the mean salary of accountants one year after obtaining their CPA licenses, finding the interval to be $64,000 to $89,000 per year. Which of the following statements is the correct interpretation of this interval in context? Read carefully! a) The alumni association can be confident, based on the method used to calculate the interval, that 95% of the accountants in the university's sample of 75 earned between $64,000 and $89,000 per year. b) There is a 95% chance, based on the method used to calculate the interval, that this particular interval, $64,000 to $89,000 per year, contains the true mean salary of the university's accounting graduates one year after obtaining their CPA licenses. c) The alumni association can be confident, based on the method used to calculate the interval, that the mean salary of all university students in the U.S. who graduated one year ago is $64,000 and $89,000 per year. d) The alumni association can be 95% confident, based on the method used to calculate the interval, that a large majority of the university's accounting graduates one year after obtaining their CPA license earn between $64,000 to $89,000 per year, based on the method used to construct the interval. e) The alumni association can be 95% confident, based on the method used to calculate the interval, that any one of the university's accounting graduates one year after obtaining a CPA license will earn between $64,000 and $89,000 per year. f) The alumni association can be 95% confident, based on the method used to calculate the interval, that the true mean salary of the university's accounting graduates one year after obtaining their CPA licenses is between $64,000 and $89,000 per year.
Madhur L.
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
Watch the video solution with this free unlock.
EMAIL
PASSWORD