Please answer the question ANOVASource of VanationSubjectsPhysical ActivityPure ErrorTotal[Select]SS2795.630549.6dfC. Do not reject Ho prphysical activity effectThe critical value of the F-test for physical activity at a 0.05 level of significance is[Select]what is the correct conclusion for the test?MSFP-valueF crit9 310 6222 1.055103 0.425061 2.250131B. Reject Ho T = PACE = μssactivity effect39A. Reject Ho T = PACE = HSS = UST and conclude that there is a significant physicalactivity effectPUST and conclude that there is no significant physicalPACE=PSS = ST and conclude that there is a significantD. Do not reject Ho T = PACE = PSS = HST and conclude that there is no significantphysical activity effect A study reported in the Journal of the America Medical Association investigated the cardiacdemands of heavy snow shoveling. Ten healthy men underwent exercise testing with a treadmilland a cycle ergometer modified for arm cranking. The men then cleared two tracts of heavy.wet snow by using a lightweight plastic snow shovel and an electric snow thrower. Eachsubject's heart rate, blood pressure, oxygen uptake, and perceived exertion during snowremoval were compared with the values obtained during treadmill and arm-crank ergometertesting. Suppose the heart rates in beats per minute for each of the 10 subjects were recordedat each physical activity (thus making it a repeated measures design) and produced thefollowing partial ANOVA result.SUMMARYTreadmillArm-Crank ErgonometerSnow ShovelSnow ThrowerANOVASource of VariationSubjectsPhysical ActivityPure ErrorTotalCount10101010SS2795.630549.6Sum1780171017501236dfAverage Variance178 281.1111171 356.6667175 219.1111123.6 336.9333MSFP-value F crit9 310.6222 1.055103 0.425061 2.25013139

Given information: The data for the happiness scores for three time- points are given. From a sample…

Answered: A study reported in the Journal of the…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

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A study reported in the Journal of the America Medical Association investigated the cardiac demands of heavy snow shoveling. Ten healthy men underwent exercise testing with a treadmill and a cycle ergometer modified for arm cranking. The men then cleared two tracts of heavy, wet snow by using a lightweight plastic snow shovel and an electric snow thrower. Each subject's heart rate, blood pressure, oxygen uptake, and perceived exertion during snow removal were compared with the values obtained during treadmill and arm- crank ergometer testing. Suppose the heart rates in beats per minute for each of the 10 subjects were recorded at each physical activity (thus making it a repeated measures design with treatments treadmill, ergometer, show shovel, and snow thrower) and produced the following partial MANOVA result. Effect ACTIVITY Multivariate tests for repeated measure: DV_1 (Spreadsheet39) Sigma-restricted parameterization Effective hypothesis decomposition Test Value F Wilks 0.07167…
A study reported in the Journal of the American Medical Association investigated the cardiac demands of heavy snow shoveling. Ten healthy men underwent exercise testing with a treadmill and a cycle ergometer modified for arm cranking. The men then cleared two tracts of heavy, wet snow by using a lightweight plastic snow shovel and an electric snow thrower. Each subject's heart rate, blood pressure, oxygen uptake, and perceived exertion during snow removal were compared with the values obtained during treadmill and arm-crank ergometer testing. Suppose the following table gives the heart rates in beats per minute for each of the 10 subjects. Treadmill Arm-Crank Ergometer Snow Shovel Snow Thrower 177 205 180 98 151 177 164 120 184 166 167 111 161 152 173 122 192 142 179 151 193 172 205 158 164 191 156 117 207 170 160 123 177 181 175 127 174 154 191 109 At the .05 level of significance, test for any significant differences. Complete the following table (to 2…
A study reported in the Journal of the American Medical Association investigated the cardiac demands of heavy snow shoveling. Ten healthy men underwent exercise testing with a treadmill and a cycle ergometer modified for arm cranking. The men then cleared two tracts of heavy, wet snow by using a lightweight plastic snow shovel and an electric snow thrower. Each subject’s heart rate, blood pressure, oxygen uptake, and perceived exertion during snow removal were compared with the values obtained during treadmill and arm-crank ergometer testing. Suppose the following table gives the heart rates in beats per minute for each of the 10 subjects. alpha = .05 what is the p-value?
A traffic office in a country was in charge of a study where the safety of passengers in different types of cars was examined. Three models were examined; small cars, minivans and SUVS and six cars in each category were inspected. A special traffic accident simulator was used in the study and the pressure on the drivers' heads was measured. Umferðarastofa wanted to investigate whether there was a difference in the average pressure on the head during a collision in these three types of cars and used a variance analysis for this purpose. Failed to complete the square sum table, which can be seen below. weekend sum degree of freedom ave week sums between groups (area) 725.4 within groups (area) 178.6 XXX total Questions 1-3 deal with this study by the Traffic Authority. Question 1 What value should be given where xxx is in the table? 1 1.91 2. 2679 3. 3036.2 4. The information provided cannot be answered. Question 2 to be used to check if there is a difference in the average- What is the…
Welsh, Davis, Burke, and Williams (2002) conducted a study to evaluate the effectiveness of a carbohydrate-electrolyte drink on sports performance and endurance. Experienced athletes were given either a carbohydrate-electrolyte drink or a placebo while they were tested on a series of high-intensity exercises. One measure was how much time it took for the athletes to run to fatigue. Data similar to the results obtained in the study are shown in the following table. Time to Run to Fatigue (in minutes) Mean SE Placebo 21.7 2.2 Carbohydrate- electrolyte 28.6 2.7 a) Construct a bar graph that incorporates all of the information in the table. b) Looking at your graph, do you think that the carbohydrate-electrolyte drink helps performance?
As part of a study designed to test the safety of automobiles, the National Transportation Safety Board collectedand reviewed data about the effects of an automobile crash on test dummies. Cars with dummies inthe front seats were crashed into a wall at a speed of 35 miles per hour. We want to know the proportion ofdummies in the driver’s seat that would have had head injuries if they had been actual drivers. Head injurydata for the dummies in the driver’s seat are listed on the spreadsheet. Use a 0.05 significance level.Find the P-value to test the null hypothesis that the different weight categories have the same mean. Do thesample data suggest that larger cars are safer? Subcompact Compact Midsize Fullsize 681 643 469 384 428 655 727 656 917 442 525 602 898 514 454 687 420 525 259 360
Welsch, Davis, Burke, and Williams (2002) conducted a study to evaluate the effectiveness of a carbohydrate-electrolyte drink on sports performance and endurance. Experienced athletes were given either a carbohydrate-electrolyte drink or a placebo while they were tested on a series of high-intensity exercises. One measure was how much time it took for the athletes to run to fatigue. Data similar to the results obtained in the study are shown in the following table: 8.3 Time to run to fatigue (in minutes) Group Mean SE (standard error) Placebo 21.7 2.2 Carbohydrate-electrolyte 28.6 2.7 Construct a bar graph that incorporates all of the information in the table. Looking at your graph, do you think that the carbohydrate-electrolyte drink helps performance? а. b.
The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training. Biofeedback Group 2.1 2.8 4.5 2.3 2.9 4.3 3.4 4.2 3.4 3.7 3.0 3.7 3.7 2.5 3.3 No Biofeedback Group 5.2 4.8 4.0 4.3 4.8 4.4 4.3 5.2 3.5 4.3 5.2 4.5 4.1 3.5 4.0 Conduct a test of hypothesis to test whether…
The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training. Biofeedback Group 2.2 2.9 4.6 2.4 3.0 4.4 3.5 4.3 3.5 3.8 3.1 3.8 3.8 2.6 3.4 No Biofeedback Group 5.2 4.8 4.0 4.3 4.8 4.4 4.3 5.2 3.5 4.3 5.2 4.5 4.1 3.5 4.0 Conduct a test of hypothesis to test whether…
To illustrate the effects of driving under the influence of alcohol, a police officer brought a DUI simulator to a high school. Student reaction time in an emergency was measured with unimpaired vision and also while wearing special goggles to simulate the effect of alcohol on vision with the following results: Normal: 4.47, 4.24, 4.58, 4.65, 4.31, 4.8, 4.55, 5, 4.79 Impaired: 5.77, 5.67, 5.51, 5.32, 5.83, 5.49, 5.23, 5.61, 5.63 Is there evidence to suggest that there is a difference at alpha = 0.05level of significance.
A medical student at a community college in city Q wants to study the factors affecting the systolic blood pressure of a person (Y). Generally, the systolic blood pressure depends on the BMI of a person (B) and the age of the person A. She wants to test whether or not the BMI has a significant effect on the systolic blood pressure, keeping the age of the person constant. For her study, she collects a random sample of 150 patients from the city and estimates the following regression function: Y= 15.50 +0.90B + 1.10A. (0.48) (0.35) The test statistic of the study the student wants to conduct (Ho: B, =0 vs. H4: B, #0), keeping other variables constant is. (Round your answer to two decimal places.) At the 5% significance level, the student will v the null hypothesis. Keeping BMI constant, she now wants test whether the age of a person (A) has no significant effect or a positive effect on the person's systolic blood pressure. So, the test statistic associated with the one-sided test the…
Compare the two separate scatterplots. In particular, how do the associtation compare between women with pets vs. women without pets? Does one group have more variation in systolic blood pressure than the other? If so, for which group? Does systolic blood pressure seem higher for common ages between the two groups? If so, for which group?

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