Attitudes toward homeless people Negative attitudes toward poor people are common. Are attitudes more negative when a person is homeless? To find out, read to subjects a description of a poor person. There are two versions. One begins with Jim a 30-year-old single man. He is currently living in a small single-room apartment. The other description begins with Jim is a 30-year-old single man. He is currently homeless and lives in a shelter for homeless people. After reading the description, ask subjects what they believe about Jim and what they think should be done to help him. The subjects are 544 adults interviewed by telephone. Outline a completely randomized design for this experiment. Write a few sentences describing how you would implement your design.

Short Answer

Expert verified

One person from the first group and one person from the second group using the first description

Step by step solution

01

Given information

Jim, a 30-year-old single male, is the first. He currently resides in a tiny one-bedroom apartment. Jim is described as a 30-year-old single male in the other description. He is currently homeless and resides in a homeless shelter.

02

Concept

The treatments are randomly assigned to all of the experimental units in a completely randomized design.

03

Explanation

It is necessary to write a few sentences here describing how to apply the design.

To begin, generate the random numbers and divide them into two groups. Assign half of the participants to one group and the other half to another. Choose one individual from the first group using the first description, and one person from the second group using the second description.

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Most popular questions from this chapter

In an interesting experiment, researchers examined the effect of ultrasound on birth weight. Pregnant women participating in the study were randomly assigned to one of two groups. The first group of women received an ultrasound; the second group did not. When the subjects’ babies were born, their birth weights were recorded. The women who received the ultrasounds had heavier babies.

Did the experimental design take the placebo effect into account? Why is this important?

Internet telephone calls You can use Voice over Internet Protocol (VoIP) to make long-distance

telephone calls over the Internet. How will the cost affect the use of this service? A university plans an experiment to find out. It will offer the service to all 350 students in one of its dormitories. Some students will pay a low flat rate. Others will pay higher rates at peak periods and very low rates off-peak. The university is interested in the amount and time of use and inthe effect on the congestion of the network.

Sampling the forest To gather data on a 1200-acre pine forest in Louisiana, the U.S. Forest Service laid a grid of 1410 equally spaced circular plots over a map

of the forest. A ground survey visited a sample of 10% of these plots.12

(a) Explain how you would use technology or Table D to choose an SRS of 141 plots. Your description should be clear enough for a classmate to obtain your results.

(b) Use your method from (a) to choose the first 3 plots.

Ring-no-answer A common form of nonresponse in telephone surveys is “ring-no-answer.” That is, a call is made to an active number but no one answers. The Italian National Statistical Institute looked at nonresponse to a government survey of households in Italy during the periods January 1 to Easter and July 1 to August 31 All calls were made between7 and 10 p.m., but 21.4% gave “ring-no-answer” in one period versus 41.5% “ring-no-answer” in the other period15 Which period do you think had the higher rate of no answers? Why? Explain why a high rate of nonresponse makes sample results less reliable.

Sampling frame Refer to the previous exercise. It is more common in telephone surveys to use random digit dialing equipment that selects the last four digits of a telephone number at random after being given the exchange (the first three digits). Explain how this sampling method results undercover which could lead to bias.

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