/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 18 A local golf pro wanted to compa... [FREE SOLUTION] | 91Ó°ÊÓ

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A local golf pro wanted to compare two styles of golf club. One golf club had a graphite shaft and the other had a steel shaft. It is believed that graphite shafts allow a player to hit the ball farther, but the manufacturer of the new steel shaft said the ball travels just as far with its new technology. To test this belief, the pro recruited 10 golfers from the driving range. Each player was asked to hit one ball with the graphite-shafted club and one ball with the new steel-shafted club. The distance that the ball traveled was determined using a range finder. A coin flip was used to determine whether the player hit with the graphite club or the steel club first. Results indicated that the distance the ball was hit with the graphite club was no different than the distance when using the steel club. (a) What type of experimental design is this? (b) What is the response variable in this study? (c) What is the factor that is set to predetermined levels? What is the treatment? (d) Identify the experimental units. (e) Why did the golf pro use a coin flip to determine whether the golfer should hit with the graphite first or the steel first? (f) Draw a diagram similar to Figure \(7,8,\) or 10 to illustrate the design.

Short Answer

Expert verified
(a) Paired design. (b) Distance the ball travels. (c) Club shaft type; graphite and steel. (d) 10 golfers. (e) To avoid order bias. (f) Diagram involves golfer recruitment, random hitting order, and distance measurement.

Step by step solution

01

Identify the Experimental Design

This study employs a paired design where the same subjects (golfers) are exposed to both treatments (graphite-shafted club and steel-shafted club). Each golfer's performance with the two types of clubs is compared directly.
02

Determine the Response Variable

The response variable in this study is the distance the ball travels when hit with either the graphite or steel-shafted golf club. This distance is the primary data being collected.
03

Identify the Factor and Treatment

The factor in this study is the type of golf club shaft, which is set to two predetermined levels: graphite and steel. The treatment is the specific type of club shaft used by the golfers for hitting the ball.
04

Identify the Experimental Units

The experimental units in this study are the 10 golfers recruited to participate in this experiment. Each golfer serves as an individual unit receiving both treatments.
05

Explain the Use of a Coin Flip

A coin flip was used to randomly decide the order in which each golfer hit with the graphite or steel club first. This randomization helps to prevent any order effects or biases that may influence the distance the ball travels.
06

Illustrate the Design

A diagram of the study design could be envisioned as follows:1. Recruit 10 golfers.2. Perform a coin flip to randomly assign the hitting order (graphite first vs. steel first).3. Collect data on the distance the ball travels for each club per golfer.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

response variable
In this experiment, the response variable is what the researcher wants to measure or observe. For the golf club study, the response variable is the distance the golf ball travels. This is important because it answers the main question: Does the type of club (graphite vs. steel) affect how far the ball goes? By focusing on the distance, the researcher can determine if there's a significant difference between the two types of clubs.
randomization
Randomization is a crucial aspect of experimental design. It helps remove bias and ensures each subject receives treatments in a random order. In our golf club study, the coin flip to decide if a golfer uses the graphite or steel shaft first is an example of randomization. This method ensures that the order of using the clubs doesn't influence the results. It's like giving both clubs a fair chance without any kind of favoritism.
paired design
A paired design involves comparing two treatments using the same subjects. In this study, each golfer uses both the graphite and steel clubs. This type of design is powerful because it controls for individual differences among golfers, like their skill level. By having each golfer use both clubs, the comparison is more accurate since each golfer serves as their own control. It’s like taking two measurements from the same person under different conditions.
treatment levels
Treatment levels refer to the different conditions applied to the subjects in the experiment. Here, we have two levels: the graphite-shafted club and the steel-shafted club. These are the different conditions (or treatments) that golfers are exposed to. The purpose is to evaluate the effect of each treatment level (club type) on the response variable (distance). These levels help in understanding if a specific treatment (type of club shaft) works better.
experimental units
Experimental units are the subjects being studied. In this case, the 10 golfers are the experimental units. Each golfer hits with both types of clubs, making them the focus of observation. This concept is essential because the characteristics of these units (golfers) can affect the experiment's outcome. By carefully choosing experimental units and managing how they are treated, researchers can ensure that the results are reliable and valid.

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Most popular questions from this chapter

In Problems 11-22, identify the type of sampling used. What is random sampling? Why is it necessary for a sample to be obtained randomly rather than conveniently? Will randomness guarantee that a sample will provide accurate information about the population? Explain.

A study was conducted in which 20,211 18-year-old Israeli male military recruits were given an exam to measure IQ. In addition, the recruits were asked to disclose their smoking status. An individual was considered a smoker if he smoked at least one cigarette per day. The goal of the study was to determine whether adolescents aged 18 to 21 who smoke have a lower IQ than nonsmokers. It was found that the average IQ of the smokers was \(94,\) while the average IQ of the nonsmokers was 101 . The researchers concluded that lower IQ individuals are more likely to choose to smoke, not that smoking makes people less intelligent. (a) What is the research objective? (b) What is the population being studied? What is the sample? (c) What are the descriptive statistics? (d) What are the conclusions of the study?

One of the challenges in polling for elections is deciding who to include in your frame and who might actually turn out to vote. (a) Suppose you were asked to conduct a poll for a senatorial election. Explain how you might design your sample. In your explanation include a discussion of the difference between "registered voters" and "likely voters." What role would stratification play in your sampling? (b) Voter turnout is different for presidential election cycles \((2012,2016,2020,\) and so on \()\) versus non-presidential election cycles \((2014,2018,2022,\) and so on \() .\) Explain the role election cycle plays in voter turnout and explain how this may affect your sampling methodology. (c) During the 2014 election, Nate Silver of Five ThirtyEight said "the pre- election polling averages (not the FiveThirtyEight forecasts, which also account for other factors) in the 10 most competitive Senate races had a 6-percentage point Democratic bias as compared to the votes counted in each state so far." Explain what this means and explain how this would have impacted polling results compared with actual results.

True or False: Generally, the goal of an experiment is to determine the effect that treatments will have on the response variable.

A research objective is presented. For each, identify the population and sample in the study. A farmer interested in the weight of his soybean crop randomly samples 100 plants and weighs the soybeans on each plant.

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