The article “Automatic Filtering of Outliers in RR Intervals Before Analysis of Heart Rate Variability in Holter Recordings: a Comparison with Carefully Edited Data” (M. Karlsson, et al., Biomedical Engineering Online, 2012) reports measurements of the total power, on the log scale, of the heart rate variability, in the frequency
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- A researcher is interested in the relationship between total student debt after graduating college and depression. In order to test the hypothesis that students with more debt are more depressed, the researcher conducts a cross-sectional study that inquires about indebtedness after graduation and asks participants to complete the geriatric depression scale (GDS) test to quantify their depression on a scale of 1-15, 15 being the most depressed. The following table should be considered a SRS of participants’ responses relative to the variables of interest. Indebtedness at Graduation ($) Performance on GDS (1-15) 75,438 8 89,653 9 112,653 11 109,563 10 56,863 6 A) Calculate basic descriptive statistics for your predictor and outcome variables. B) Perform a formal test addressing the correlation between your predictor and outcome variables. (Use alpha = 0.05). C) Interpret your results.arrow_forwardThe data in Table 7..7 are collected in an experiment designed to investigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are each assigned to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks, and 32 weeks, gestation. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. PLEASE SHOW THE ANSWER IN EXCEL FORMAT WITH FORMULAS.arrow_forward#25). Both photos are the same problem.arrow_forward
- Carter et al investigated the effect of age at onset of bipolar disorder on the course of the illness. One of the variables studied was the subjects' family history. The table below shows the frequency of a family history of mood disorders in the two groups of interest: early age at onset (18years or younger) and later age at onset (later than 18 years old). Can we conclude on the basis of these data that subjects 18 or younger differ from subjects older than 18 with respect to family histories ofmood disorders? Ref: J Psychiatric Research 37(2003), 297-303.arrow_forwardBlood cocaine concentration (mg/L) was determinedboth for a sample of individuals who had died fromcocaine-induced excited delirium (ED) and for a sampleof those who had died from a cocaine overdose withoutexcited delirium; survival time for people in bothgroups was at most 6 hours. The accompanying datawas read from a comparative boxplot in the article“Fatal Excited Delirium Following Cocaine Use” (J.of Forensic Sciences, 1997: 25–31). ED 0 0 0 0 .1 .1 .1 .1 .2 .2 .3 .3.3 .4 .5 .7 .8 1.0 1.5 2.7 2.83.5 4.0 8.9 9.2 11.7 21.0Non-ED 0 0 0 0 0 .1 .1 .1 .1 .2 .2 .2.3 .3 .3 .4 .5 .5 .6 .8 .9 1.01.2 1.4 1.5 1.7 2.0 3.2 3.5 4.14.3 4.8 5.0 5.6 5.9 6.0 6.4 7.98.3 8.7 9.1 9.6 9.9 11.0 11.512.2 12.7 14.0 16.6 17.8 a. Determine the medians, fourths, and fourth spreadsfor the two samples.b. Are there any outliers in either sample? Any extremeoutliers?c. Construct a comparative boxplot, and use it as abasis for comparing and contrasting the ED andnon-ED samples.arrow_forwardplease do the full problem!arrow_forward
- Fifteen adult males between the ages of 35 and 50 participated in a study to evaluate the effect of diet and exercise on blood cholesterol levels. The total cholesterol was measured in each subject initially and then three months after participating in an aerobic exercise program and switching to a low-fat diet. The data are shown in the following table.arrow_forwardData are collected in an experiment designed to in- vestigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are as- signed to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks and 32 weeks gestation. The data are shown in Table 7–7. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. back side sitting standing 140 141 144 147 144 143 145 145 146 145 147 148 141 144 148 149 139 136 144 145arrow_forwardA man measures his heart rate before using a treadmill and then after walking ona treadmill for 10 minutes on 7 separate days. His mean heart rate at baseline and10 minutes after treadmill walking is 85 and 93 beats per minute (bpm), respectively. The mean change from baseline to 10 minutes is 8 bpm with a standarddeviation of 6 bpm.(a) What test can we use to compare pre- and post-treadmill heart rate?(b) Implement the test in 2a, and report a two-tailedp-value.(c) Provide a 90% confidence interval (CI) for the mean change in heart rate afterusing the treadmill for 10 minutes.(d) What is your overall conclusion concerning the data? this is a review question of ch8 bernard rosner. the solution is not provided at bartleby for this review questionarrow_forward
- Ost watched Ani... Question 2 Y Part 1 of 4 A doctor in Cleveland wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 9% level of significance to test whether the average life span of heart disease patients in Cleveland differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 7.4, 7.8, 7.7, 7.5, 8, 8.2, 7.8, 8.6, 8, 7.8, 8.3, 8.3, 8, 7.6, 8.2, 7.9, 7.3, 8, 8.6, 7.3, 8.3, 8, 7.8, 8, 7.8, 8.1, 8.1, 8, 7.6, 7.6, 7.7, 7.4, 7.7, 7.8, 7.8 Life Span of Patients Treated at Hospital 2: 7.9, 7.9, 8.2, 8, 8.1, 8.5, 8.3, 8.4, 8, 8.2, 7.7, 8, 8, 7.8, 7.9, 8.1, 8.1, 7.8, 7.9, 8, 8.5, 8.3, 8.2, 8.3, 7.8, 7.9 Life Span of Patients Treated at Hospital 3: 8.2, 8.1, 7.4, 8.7, 8.6, 8.2, 7.9, 8.1, 8.1, 8.3, 8.3, 8, 7.6, 8, 7.4, 8.6, 8.2, 8.2, 7.9, 7.7, 8.1, 7.9, 8, 8.3 Life Span of…arrow_forwardAnalysis of a set of data for 193 countries reported in the cross-country analysis by Bulled and Sosis (2010) revealed that the correlation between the adult literacy rate in a country and the life expectancy inthe country was r = 0.70. (a) What is the adjusted r2 for predicting life expectancy from the literacy rate?(b) Explain what this adjusted r2 means for this set of data. (c) What, if any, is the causal relationsuggested by this correlation and adjusted r2? Speculate on the nature of the causal relation underlying the correlation.arrow_forwardA methodological study had established values for the MIC on a scale that measured physical function: The MIC for improvement (higher scores) was 4.0, and the MIC for deterioration (lower scores) was 3.0. Lawrence studied clinically significant change in physical functioning over a 1-year period for a sample of 100 patients with COPD. Some change score information is presented below for 10 patients. Which patients experienced clinically significant change in physical function in the 12-month period between assessments? Patient Baseline Score* 12-Month Score* 1 19 15 2 12 10 3 16 14 4 17 16 5 9 10 6 11 12 7 13 17 8 15 13 9 18 14 10 16 9 *Higher scores = higher level of physical function Which patients had clinically significant deterioration? Which patients had clinically significant improvement? Which patients had no clinically significant change?arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt