2) A local home inspector wants to test for lead levels in 10 homes using two different testing methods in eachof the homes to determine the level of lead in each of the homes. Two different tests (A and B) are used todetermine the level of lead found in each of ten randomly selected homes. The home inspector believesthat Test A is more accurate than Test B. The data obtained, for lead level in each home using eachmethod is shown in the table below.SPECIMEN8| 92346710A22.723.624.026.627.228.735.032.544.147.3TestB23.023.223.525.62727.133.235.340.547.8a. Does this data provide convincing evidence to support the home inspectors claim? Provide astatistical justification to support your answer.b. What kind of error could you have made? What is one consequence of that error?c. Is the sample statistically significant at the 0.05 level? If not, at what significance level would theseresults be statistically significant at?

t test for two independent sample with equal variance is the appropriate test to determine whether…

A local home inspector wants to test for lead levels in 10 homes using two different testing methods in each of the homes to determine the level of lead in each of the homes. Two different tests (A and B) are used to determine the level of lead found in each of ten randomly selected homes. The home inspector believes that Test A is more accurate than Test B. The data obtained, for lead level in each home using each method is shown in the table below. SPECIMEN 1 2 3 4 5 6 7 10 A 22.7 23.6 24.0 26.6| 27.2 28.7 35.0 32.5 44.1 47.3 Test 23.0 23.2 23.5 | 25.6 27 27.1 33.2 35.3 40.5 | 47.8 a. Does this data provide convincing evidence to support the home inspectors claim? Provide a statistical justification to support your answer.

A local home inspector wants to test for lead levels in 10 homes using two different testing methods in each of the homes to determine the level of lead in each of the homes. Two different tests (A and B) are used to determine the level of lead found in each of ten randomly selected homes. The home inspector believes that Test A is more accurate than Test B. The data obtained, for lead level in each home using each method is shown in the table below. SPECIMEN 1 2 3 4 5 6 7 10 A 22.7 23.6 24.0 26.6| 27.2 28.7 35.0 32.5 44.1 47.3 Test 23.0 23.2 23.5 | 25.6 27 27.1 33.2 35.3 40.5 | 47.8 a. Does this data provide convincing evidence to support the home inspectors claim? Provide a statistical justification to support your answer.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Part c, d, and e please
The authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement"† compared two different instruments for measuring a person's ability to breathe out air. (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen people participated in the study, and for each person air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject Mini-WrightMeter WrightMeter Subject Mini-WrightMeter WrightMeter 1 512 494 10 445 433 2 430 395 11 432 417 3 520 516 12 626 656 4 428 434 13 260 267 5 500 476 14 477 478 6 600 557 15 259 178 7 364 413 16 350 423 8 380 442 17 451 427 9 658 650 (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce different…
1. Birds can regrow feathers if they are lost. A researcher was interested in whether newly regrown feathers in the tails of northern flickers differed in colour (yellowness in particular) compared to older feathers. To test this, they measured the yellowness of one new and one randomly selected old feather on each of 20 birds. A plot of their data and the results of their analysis are shown below. Yellowness 160 150 140 130 new X Feather old Welch Two Sample t-test = data: Yellowness by Feather t = 1.5832, df 37.986, p-value 165 sample estimates: mean in group new mean in group old 147.9623 143.3000 160 New 155 150 145 140 135 = 0.1217 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -1.299296 10.623962 T T T T T 130 135 140 145 150 155 160 Old a) From the results above, what is the null hypothesis and what statistical conclusion do you make concerning it?
A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________
Here are the scatter plots for two sets of bivariate data with the same response variable. The first compares the variables x & y. The second compares the variables w & y 00⁰0 889 Which explanatory variable has a stronger relationship with the response variable y? The first variable (x) has a stronger relationship with the response variable y. The second variable (w) has a stronger relationship with the response variable y.
Suppose that as part of a research methods class, Bailey was asked to write summaries of research papers on the following topics. • The effects of increasing temperatures on the migration patterns of birds • The effects of media coverage on community support for crime prevention For each topic, identify the explanatory and the response variables. Temperature and the level of community support for crime prevention are the explanatory variables, and the amount of media coverage and the migration patterns of birds are the response variables. Temperature and the amount of media coverage are the response variables, and the migration patterns of birds and the level of community support for crime prevention are the explanatory variables. Temperature and the amount of media coverage are the explanatory variables, and the migration patterns of birds and the level of community support for crime prevention are the response variables. Temperature and the migration patterns of birds are the…
20. It is of interest to determine the effect of different feed formulations on the hardness of shells of quail eggs. Eighteen feed formulations were randomly assigned to quails. Three different races of quails were used as blocks. After a week of feeding their assigned formulations, the hardness of the quail eggs was measured. This experimental set-up was done in five quail farms located in different parts of Luzon. Which of the following is(are) TRUE? 1. Combined analysis is applicable since the same experimental design was employed across farms. II. The objective of the analysis is to determine the adaptability of the feed formulations across farms. A. I only B. II only C. Both I and II D. Neither I nor II
2) A population has μ = 100 and σ = 20. If you select a single score from this population, on the average, how close would it be to the population mean? Explain your answer.
A state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission could get a fairly accurate assessment of the seasonal catch by extensive “netting sweeps" of the lake before and after a season, but this technique is much too expensive to be done routinely. Therefore, the commission samples a number of lakes and record the seasonal catch (thousands of bass per square mile of lake area) and size of lake (square miles). A simple linear regression was performed and the following R output obtained. Estimate Std. Error t value Pr(>|t|) (Intercept) 2.5463 0.4427 5.7513 0.0000 size 0.0667 0.3672 0.1818 0.8578 If a scatterplot showed a non-linear relationship between the response and explanatory variables, what should be done? O Nothing. Continue the analysis as is. Stop the analysis. Perform a natural log transformation on the response variable first. O Perform a…
7)
1. For each row of the table you are given a p-value and a level of significance (a). Determine which hypothesis is supported, if the data are significant and which type error could be made. If a given p- value is not a valid p-value (because it is greater than 1), put an x in each box in therow. p-value Hypothesis Họ or H1 Significant or Not Significant Error Type I or Type II 0.043 0.05 0.32 0.05 0.043 0.01 0.0035 0.01 0.043 0.10 0.15 0.10 5.6 x 106 0.05 7.3256 0.01 2. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Support paying off student dept, H1: p 8 ft, p-value-5.6 x 10°, a=0.05, n=56. 4. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Blood pressure for men and women, H1: Hw # HM ft, p-value3D0.0035, a=0.01, n=2403.
(5) A certain educational institute has 15 centers located at different places in a city. There are three telephone operators in each center. The manager wanted to estimate the average number of calls received per telephone per week for this institute. He decided to select four centers and the number of calls received on last week for each operator were recorded. The data collected are given in Table 02. Answer the following questions. Table 02: Number of calls received for each operator 25, 15, 30 18, 12, 10 20, 18, 22 15, 20, 18 Center 1 4 (i) (ii) What is the sampling method used in this study? Justify your answer. Estimate the average number of telephone calls received per telephone operator.