Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

AP4.35 In a clinical trial, 30 patients with a certain blood disease are randomly assigned to two groups. One group is then randomly assigned the currently marketed medicine, and the other group receives the experimental medicine. Every week, patients report to the clinic where blood tests are conducted. The clinic technician is unaware of the kind of
medicine each patient is taking, and the patient is also unaware of which medicine he or she has been given. This design can be described as
a. a double-blind, completely randomized experiment, with the currently marketed medicine and the experimental medicine as the two treatments.
b. a single-blind, completely randomized experiment, with the currently marketed medicine and the experimental medicine as the two treatments.
c. a double-blind, matched pairs design, with the currently marketed medicine and the experimental medicine forming a pair.
d. a double-blind, block design that is not a matched pairs design, with the currently marketed medicine and the experimental medicine as the two blocks.
e. a double-blind, randomized observational study.

Short Answer

Expert verified

The correct answer is option (a) a double-blind, completely randomized experiment, with the currently marketed medicine and the experimental medicine as the two treatments.

Step by step solution

01

Given information

To determine the design can be described from the given options.

02

Explanation

Patients with a certain blood illness are randomly assigned to one of two groups in a research trial.
In a double blind experiment, neither the subjects nor the people who measure them know which treatment they had, whereas in a single blind experiment, either the people who measure or the people who get the results know which treatment they got.
Patients were assigned to groups at random, and an experiment purposefully imposed some therapy on individuals in order to evaluate their responses, such that a completely randomized experiment using treatments from two categories of medicine.
As a result, the proper choice is option (a) a double-blind, completely randomized experiment, with the currently marketed medicine and the experimental medicine as the two treatments.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Boyleโ€™s law Refers to Exercise 34. We took the logarithm (base 10) of the values for both volume and pressure. Here is some computer output from a linear regression analysis of the transformed data.


a. Based on the output, explain why it would be reasonable to use a power model to describe the relationship between pressure and volume.

b. Give the equation of the least-squares regression line. Be sure to define any variables you use.

c. Use the model from part (b) to predict the pressure in the syringe when the volume is 17cubic centimeters.

Multiple Choice Select the best answer for Exercises 23-28. Exercises 23-28 refer to the following setting. To see if students with longer feet tend to be taller, a random sample of 25students was selected from a large high school. For each student, x=footlength&y=heightere recorded. We checked that the conditions for inference about the slope of the population regression line are met. Here is a portion of the computer output from a least-squares regression analysis using these data:

26. Which of the following is the best interpretation of the value 0.4117in the computer output?

a. For each increase of 1cmin foot length, the average height increases by about0.4117cm

b. When using this model to predict height, the predictions will typically be off by about 0.4117cm.

c. The linear relationship between foot length and height accounts for 41.17%of the variation in height.

d. The linear relationship between foot length and height is moderate and positive.

e. In repeated samples of size 25the slope of the sample regression line for predicting height from foot length will typically vary from the population slope by about 0.4117.

Which of the following statements about the t distribution with degrees of freedom dfis (are) true?

I. It is symmetric.

II. It has more variability than the t distribution with df+1degrees of freedom. III. III. As df increases, the t distribution approaches the standard Normal distribution.

a. I only

b. II only

c. III only

d. I and III

e. I, II, and III

R12.5 Light intensity In a physics class, the intensity of a 100-watt light bulb was measured by a sensor at various distances from the light source. Here is a scatterplot of the data. Note that a candela is a unit of luminous intensity in the International System of Units.

Physics textbooks suggest that the relationship between light intensity y and distance x should follow an โ€œinverse square law,โ€ that is, a power law model of the form y=ax-2=a1x2. We transformed the distance measurements by squaring them and then taking their reciprocals. Here is some computer output and a residual plot from a least-squares regression analysis of the transformed data. Note that the horizontal axis on the residual plot displays predicted light intensity.

a. Did this transformation achieve linearity? Give appropriate evidence to justify your answer.
b. What is the equation of the least-squares regression line? Define any variables you use.
c. Predict the intensity of a 100-watt bulb at a distance of 2.1 meters.

The students in Mr. Shenkโ€™s class measured the arm spans and heights (in inches) of a random sample of 18students from their large high school. Here is computer output from a least-squares regression analysis of these data. Construct and interpret a 90%confidence interval for the slope of the population regression line. Assume that the conditions for performing inference are met.

PredictorCoefStdevt-ratioPConstant11.5475.6002.060.056Armspan0.840420.0809110.390.000S=1.613R-Sq=87.1%R-Sq(adj)=86.3%

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free