A medical researcher wants to estimate the survival time of a patient after the onset of a particular type of cancer and after a particular regimen of radiotherapy.a. What is the variable of interest to the medical researcher?b. Is the variable in part a qualitative, quantitative discrete, or quantitative continuous?c. Identify the population of interest to the medical researcher.d. Describe how the researcher could select a sample from the population.e. What problems might arise in sampling from this population?

A medical researcher wants to estimate the survival time of a patient after the onset of a particular type of cancer and after a particular regimen of radiotherapy.a. What is the variable of interest to the medical researcher?b. Is the variable in part a qualitative, quantitative discrete, or quantitative continuous?c. Identify the population of interest to the medical researcher.d. Describe how the researcher could select a sample from the population.e. What problems might arise in sampling from this population?

Name: A medical researcher wants to estimate the survival time of a patient
Uploaded: 2024-03-20T07:06:16.000Z
Channel: Bartleby
Description: A medical researcher wants to estimate the survival time of a patient after the onset of a particular type of cancer and after a particular regimen of radiotherapy.a. What is the variable of interest to the medical researcher?b. Is the variable in pa

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

Which of these would not make you question the results of a study? A. Anonymous answers B. A small sample C. Assuming causation from correlation D. A large margin of error
Which of the following are the names commonly used for the variable Y in sample regression? 1. covariate variable 2. independent variable 3. predictor variable 4. Explained variable 5. Response variable 6. explanatory variable 7. Predicted variable 8. Dependent variable 9. Criterion variable
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year 1,476 1,800 Occupied Rooms Total Rooms 1,422 1,800 a. Formulate the hypothesis test that can be used to determine whether there has been an increase in the proportion of rooms occupied over the one-year period. Let P₁= population proportion of rooms occupied for current year P2 population proportion of rooms occupied for previous year - P2 less than or equal to 0 greater than 0 Ho P1 Ha P1 P2 b. What is the estimated proportion of hotel rooms occupied each year (to 2 decimals)? Current year .80 X Previous Year .77 c. Conduct a hypothesis test. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. Previous Year p-value = 0.0166 Using a 0.05 level of significance, what is your conclusion? We can conclude that there…
Suppose the observational units in a study are the patients arriving at an emergency room on a given day, Nov 11, 2019. Number of patients that arrive before noon is a qualitative variable is a quantitative variable is not a variable
what test is applicable in this situation
7. In the field of statistics, give an example of: a. A discrete variable. b. A continuous variable. c. A qualitative variable.
3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…
Shape of the distribution of data can be visually assessed using which plot(s)? a. boxplot b. histogram c. scatterplot d. all of the above Potential confounders are issue in the following type of study design. a. Observational cohort studies b. Case-control studies c. Both observational cohort and case-control studies Subjects are recruited to take part in a study examining the effect of a new therapy to aid with smoking cessation for persons who smoke cigarettes. If a subject is followed until he/she stops smoking, their survival time is: a. Censored b. Excluded from the analysis c. Uncensored d. Survival time is zero, since the subject had the event of interest
Given a sample data set with a Variance of 12.25 and Mean of 4.0, what is the Coefficient of Variation of the data set.?
Two social scientists wanted to know if more violent crimes are committed when the temperature goes up. They measured the high temperature for each day during the year in Atlanta and compared the temperature for that day to the Police Department’s report for the number of violent crimes for that day. What statistical test should they use to analyze the data? a. Paired t-test b. Correlation c. One Way ANOVA d. Independent Samples t-test e. Chi Square Test of Independence
Which one of the following summary statistics best matches the data on the abundance of various bird species shown here? Frequency (No. species) 25 20 15 10 5 0 0 Mean = Mean = Mean = 100 200 300 400 500 600 Abundance (No. individuals) 75 individuals, s.d. = 122 individuals 300 individuals, s.d. = 14871 individuals 10 individuals, s.d. = 10 individuals Mean = 10 individuals, s.d. = 14871 individuals Mean 75 individuals, s.d. = 14871 individuals
Q.31 Define deseasonalisation of data.