1. Identifying related samplesFor each of the following research scenarios, decide whether the design uses a related sample. If the design uses a related sample, identify whether ituses matched-subjects or repeated-measures. (Note: Researchers can match subjects by matching particular characteristics, or, in some cases,matched subjects are naturally paired, such as siblings or married couples.)A researcher is interested in whether people eat more or less when they are in a hurry. The researcher collects a random sample of 80 adults andinvites them to eat two (identical) free meals one month apart. For one of the meals, no time restriction is placed on the meal. For the other meal,participants are told when their meal is served that they have only 10 minutes until another group is due to sit down. Half of the participants eat theirhurried meal first; the other half eat it second. The researcher compares the amount eaten at each sitting.The design describeduses a related sample (matched-subjects)You design a study todoes not use a related samplehas higher intelligence than the general population, which has an average IQ of100 with a standard duses a related sample (repeated-measures)The design described For each of the following research scenarios, decide whether the design uses a related sample. If the design uses a related sample, identify whether ituses matched-subjects or repeated-measures. (Note: Researchers can match subjects by matching particular characteristics, or, in some cases,matched subjects are naturally paired, such as siblings or married couples.)A researcher is interested in whether people eat more or less when they are in a hurry. The researcher collects a random sample of 80 adults andinvites them to eat two (identical) free meals one month apart. For one of the meals, no time restriction is placed on the meal. For the other meal,participants are told when their meal is served that they have only 10 minutes until another group is due to sit down. Half of the participants eat theirhurried meal first; the other half eat it second. The researcher compares the amount eaten at each sitting.The design describeduses a related sample (matched-subjects)You design a study tohas higher intelligence than the general population, which has an average IQ of100 with a standard ddoes not use a related sampleuses a related sample (repeated-measures)The design described

Answered: 1. Identifying related samples For each…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Seattle Grace Medical Center. As part of a long-term study of individuals 65 years of age or older, doctors at the Seattle Grace Medical Center in Washington state investigated the relationship between state of residence and depression. A sample of 60 individuals, all in reasonably good health, was selected; 20 individuals were residents of Texas, 20 were residents of Washington state, and 20 were residents of South Carolina. Each of the individuals sampled was given a standardized test to measure depression. The data collected follow; higher test scores indicate higher levels of depression. These data are contained in the attached data file SeattleGrace1. A second part of the study considered the relationship between state of residence and depression for individuals 65 years of age or older who had a chronic health condition such as diabetes and/or high blood pressure. A sample of 60 individuals with such conditions was identified. Again, 20 were residents of Texas, 20 were residents…
A health educator wants to evaluate the effect of a dental film on the frequency with which children brush their teeth. A random selection of 8 children is used for the experiment. First, a baseline of the number of times the children brush their teeth over a month’s period is established. Next, the children are shown the dental film and again the number of teeth brushings are recorded for a month. The following data are recorded: Subject 1 2 3 4 5 6 7 8 After Film 28 29 25 30 25 27 28 24 Baseline 25 28 22 30 26 24 25 22 What is the nondirectional alternative hypothesis? df = ∑ D2 = __ Dobt = µD = SSD =
3. Statistic or parameter ? a.Researchers want to determine what percentage of Maryland residents are in favor of the death penalty. Suppose that 7% of a random sample of 1200 residents are in favor of the death penalty. This percentage (7%) would represent statistic/parameter b. The online MBA director at a large business school surveys a sample of current students to determine their level of satisfaction with the program. She finds that 67% of them are "very satisfied" with the online program. This result is statistic/parameter. c. All the third graders in a county were asked to complete a survey about who likes vanilla ice cream. 90% response was in favor of the flavor. This is statistic/parameter. d. The average Statistics test scores of all students in in PGCC a. A study took a group of adults and randomly divided them into two groups. One group was told to drink tea every night for a week, while the other group was told not to drink tea that week. Researchers then compared when…
When two births are randomly selected, the sample space for genders is bb, bg, gb, and gg. Assume that those four outcomes are equally likely. Construct a table that describes the sampling distribution of the sample proportion of girls from two births. Does the mean of the sample proportions equal the proportion of girls in two births? Does the result suggest that a sample proportion is an unbiased estimator of a 1 1 population proportion? For the entire population, assume the probability of having a boy is the probability of having a girl is, and this is not affected by how many boys or girls have previously been born. Determine the probabilities of each sample proportion. Sample proportion of girls ▼ ▼ ▼ Probability (Type integers or simplified fractions.)
An experiment to determine the most effective way to teach safety principles applied four different teaching methods. Some employees were given programmed instruction booklets and worked through the course at their own pace. Other employees attended lectures. A third group watched a television presentation, and a fourth group was divided into small discussion groups. A high of 10 was possible. A sample of five tests was selected from each group. The test grade results were: Sample Number Programmed Instruction Lecture TV Group Discussion 1 6 8 7 8 2 7 5 9 5 3 6 8 6 6 4 5 6 8 6 5 6 8 5 5 At the 0.01 level, what is the critical value? Multiple Choice 1.00 1.96 3.24 5.29
When an audit must be conducted that involves a tedious examination of a large inventory, the audit may be very costly and time consuming if each item in the inventory must be examined. In such situations, the auditor frequently obtains a random sample of items from the complete inventory and uses the results of an audit of the sampled items to check the validity of the company's financial statement. A large company’s financial statement claims an inventory that averages $600 per item. The following data are the auditor’s assessment of a random sample of 75 items from the company’s inventory. The values resulting from the audit are rounded to the nearest dollar. Estimate the mean value of an item in the inventory using a 95% confidence interval. Is there substantial evidence (a 5 .01) that the mean value of an item in the inventory is less than $600? What is the target population for the above inferences? Would normal distribution–based procedures be appropriate for answering the…
You may need to use the appropriate technology to answer this question. A certain manufacturer is a producer of aluminum components for the avionics and automotive industries. At its plant, an engineer has conducted a quality-control test in which aluminum coils produced in all three shifts were inspected. The study was designed to determine if the population proportion of good parts was the same for all three shifts. Sample data follow. Production Shift Quality First Second Third Good 282 364 172 Defective 18 36 28 (1) Using a 0.05 level of significance, conduct a hypothesis test to determine if the population proportion of good parts is the same for all three shifts. State the null and alternative hypotheses. A) H0: p1 = p2 = p3 Ha: Not all population proportions are equal. B) H0: p1 ≠ p2 ≠ p3 Ha: All population proportions are equal. C) H0: At least two population proportions are equal. Ha: p1 ≠ p2 ≠ p3 D) H0: Not all population proportions are equal. Ha: p1 =…
2. Reporting on cheats What proportion of students are willing to report cheating by other students? A student project put this question to an SRS of 172 undergraduates at a large university: "You witness two students cheating on a quiz. Do you go to the professor?" Only 11% answered "Yes." The dotplot shows the proportion who would go to the professor in each of 1000 random samples of size 172 from a population where 11% would go to the professor. 17 0.1 0.15 0.2 0.25 Simulated sample proportion who would say "Yes" 0 0.05 Distribution of simulated proportion # samples 1000 mean 0.11 SD 0.024 (a) Use the results of the simulation to approximate the margin of error for Gallup's estimate of the proportion of U.S. adults who were satisfied with the way things were going in the United States at the time of the poll. (b) Interpret the margin of error.
Determine whether the following sampling is dependent or independent. Indicate whether the response variable is qualitative or quantitative. A researcher wishes to compare annual salaries of patients with and without narcolepsy. She obtains a random sample of 116 patients of each category who work and determines each patient's annual salary. ... Determine whether the following sampling is dependent or independent. OA. The sampling is dependent because an individual selected for one sample does dictate which individual is to be in the second sample. OB. The sampling is dependent because an individual selected for one sample does not dictate which individual is to be in the second sample. OC. The sampling is independent because an individual selected for one sample does dictate which individual is to be in the second sample. D. The sampling is independent because an individual selected for one sample does not dictate which individual is to be in the second sample. Indicate whether the…
A father is concerned that his teenage son is watching too much television each day, since his son watches an average of 2 hours per day His son says that his TV habits are no different than those of his friends. Since this father has taken a stats class, he knows that can actually test to see whether or not his son is watching more TV than his peers The father collects a random sample of watching times from boys at his son's high school and gets the following data: 1.9, 2.3, 2.2, 1.9, 1.6, 2.6, 1.4, 2.0, 2.0, 2.2 Find a 95% confidence interval for the true mean number of hours teenagers at that school watch TV. a. Confidence Interval b. Conclusion
The National Highway traffic Safety Administration requires each U.S. state to carry out an observational study to assess the level of seat belt use in the state. One report summarized data from a study done in a certain state. The proportions in the accompanying table are based on observations of over 25,000 drivers and passengers. Male Female Uses Seatbelt Does Not Use Seat Belt 0.42 0.455 0.08 0.045 Assume that these proportions are representative of adults in this state and that an adult from this state is selected at random. (a) What is the probability that the selected adult does not use a seat belt given that the selected individual is female? (b) What is the probability that the selected individual is female given that the selected individual does not use a seat belt? (c) Are the probabilities from parts (a) and (b) equal? Write a couple of sentences explaining why or why not. They --Select--- ✓ equal. Part (a) is the proportion of [---Select--- ---Select--- and part (b) is the…

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