Older women with undiagnosed and confirmed T2DM demonstrated greater losses in thigh muscle cross-sectional area over five years compared with non-diabetic controls (−10.6±1.5 and −9.3±1.2 versus −5.2±0.4 cm2, respectively
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How do I interpret the following data in this sentence?
Older women with undiagnosed and confirmed T2DM demonstrated greater losses in thigh muscle cross-sectional area over five years compared with non-diabetic controls (−10.6±1.5 and −9.3±1.2 versus −5.2±0.4 cm2, respectively
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- Dr. Palmer found a small treatment effect. What can she do in improve her changes of finding a statistically significant result?Suppose the average blood sugar level in 35- to 44-year-olds is 4.86 (mmol/L). Do sedentary people have a different blood sugar level than that of the general population? To answer that question, a hypothesis test is planned to collect data from a group of 200 sedentary people in this age group. State the null and alternative hypothesis for this study. A. H0: u (mean) ≠ 4.86 mmol/L vs Ha: u (mean) = 4.86 mmol/L B. H0: u (mean) = 4.86 mmol/L vs Ha: xbar ≠ 4.86 mmol/L C. H0: u (mean) = 4.86 mmol/L vs Ha: u (mean) > 4.86 mmol/L D. H0: u(mean) = 4.86 mmol/L vs Ha: u (mean) ≠ 4.86 mmol/LDid the authors note any differences in gender with regard to fish consumption and inflammatory markers? What does this result mean? When compared with the non-fish consumers, those who consumed >300 g of fish per week had on average ____% lower CRP. Was this result significant? How do you know? What was the value of Amyloid A (mg/dl) for the group that made up the largest percentage of the sample? How much fish did this group consume? Do the study findings have implications for health care? If so what are they? Provide a rationale for your answer.
- Denny studied factors affecting cardiovascular reactivity to a postural change in a sample of healthy men and women. Change in systolic blood pressure (SBP) from supine to standing position was used as the measure of cardiac reactivity in a sample of 842 adults. Supine measurement of blood pressure was taken after participants had lain on an examination table for 15 minutes. Blood pressure was determined every 30 seconds using a Dinamap device for 2 minutes, and the measurements were averaged. Participants then stood up immediately, and additional measurements were made for another 2 minutes. Below is a table describing the characteristics of Denny’s sample: Which variables in the table, if any, were measured on a nominal scale? Which variables in the table, if any, were measured on an ordinal scale? Which variables in the table, if any, were measured on an interval scale? Which variables in the table, if any, were measured on a ratio scale? Which measures of central tendency, if any,…Denny studied factors affecting cardiovascular reactivity to a postural change in a sample of healthy men and women. Change in systolic blood pressure (SBP) from supine to standing position was used as the measure of cardiac reactivity in a sample of 842 adults. Supine measurement of blood pressure was taken after participants had lain on an examination table for 15 minutes. Blood pressure was determined every 30 seconds using a Dinamap device for 2 minutes, and the measurements were averaged. Participants then stood up immediately, and additional measurements were made for another 2 minutes. Below is a table describing the characteristics of Denny’s sample: Which measures of dispersion, if any, are presented in this table (Ranges, SDs)? If age is normally distributed, approximately what percent of the sample would be younger than 50? If BMI is normally distributed, approximately what percent of the sample would have a BMI higher than 33.1?A study assessed the lung destructive index among smokers and non- smokers provided the following data Smokers : overline x 1 =14.5 n 1 =12 S P =2.50 Non- Smokers: overline x 2 =9.5 n 2 =10 a = .05 From the available data, can we conclude that smokers have greater lung damage than non-smokers?
- Denny studied factors affecting cardiovascular reactivity to a postural change in a sample of healthy men and women. Change in systolic blood pressure (SBP) from supine to standing position was used as the measure of cardiac reactivity in a sample of 842 adults. Supine measurement of blood pressure was taken after participants had lain on an examination table for 15 minutes. Blood pressure was determined every 30 seconds using a Dinamap device for 2 minutes, and the measurements were averaged. Participants then stood up immediately, and additional measurements were made for another 2 minutes. Below is a table describing the characteristics of Denny’s sample: Which variables in the table, if any, were measured on a ratio scale? Which measures of central tendency, if any, are presented in this table? Which measures of dispersion, if any, are presented in this table (Ranges, SDs)? Table 1 Characteristics of the Study Sample (N=842) Sample Characteristic Frequency (n) Percent or…Are seatbelts effective at saving lives? We wish to examine whether or not the use of seatbelts reduces fatalities at the a = 0.01 level of significance. Let pN represent the proportion of non-seatbelt wearing passengers who were involved in a crash and died and py represent the proportion of seatbelt wearing passengers who were involved in a crash and died. NOTE: The data used in this study were obtained through observational study...no experiment was conducted! Which would be correct hypotheses for this test? O Ho:PN = pY, H1:PN > pY Ho: PN = pY, H,:PN Py In a random sample of 321 non-seatbelt wearing passengers involved in a car crash, 30 were killed. In a random sample of 492 seatbelt wearing passengers involved in a car crash, 13 were killed. Find the test statistic (2 decimal places): Give the P-value (4 decimal places - if less than 0.001 answer 0): Which is the correct result: Reject the Null Hypothesis O Do not Reject the Null Hypothesis Which would be the appropriate…The DASS-21 questionnaire is a validated measure of depression, anxiety, and stress. For the general population, the mean for anxiety is µ = 4.2. Anxiety levels are calculated based on self-reported answers to questions on a scale from 0 through 42, with lower scores indicating lower anxiety. Participants with gastrointestinal issues (specifically inflammatory bowel disease, IBD) completed the DASS-21. Use the data presented below to determine whether having gastrointestinal issues like IBD significantly increases risk for anxiety. Test whether or not the performance of this sample is significantly higher than the normal population using the proper t-test. Here are the data: Anxiety scores: 12, 15, 10, 8, 10, 5, 10, 13, 4, 6 ANALYSES AND UNGRADED OPTIONAL GUIDING QUESTIONS: 1a. Identify the Indep.Variable:__ Dep.Variable:__ Is it the Hypothesis one-tailed or two-tailed?__ Proper t-test statistic:__ Why? _ State Hypotheses mathematically: H0:__ H1:__ State…
- The DASS-21 questionnaire is a validated measure of depression, anxiety, and stress. For the general population, the mean for anxiety is µ = 4.2. Anxiety levels are calculated based on self-reported answers to questions on a scale from 0 through 42, with lower scores indicating lower anxiety. Participants with gastrointestinal issues (specifically inflammatory bowel disease, IBD) completed the DASS-21. Use the data presented below to determine whether having gastrointestinal issues like IBD significantly increases risk for anxiety. Test whether or not the performance of this sample is significantly higher than the normal population using the proper t-test. Here are the data: Anxiety scores: 12, 15, 10, 8, 10, 5, 10, 13, 4, 6 ANALYSES AND UNGRADED OPTIONAL GUIDING QUESTIONS: 1a. Identify the Indep.Variable:__ Dep.Variable:__ Is it the Hypothesis one-tailed or two-tailed?__ Proper t-test statistic:__ Why? _ State Hypotheses mathematically: H0:__ H1:__ State…Prior to assessment of the outcome, the researchers did a manipulation check. Members of Groups 1 and 2 rated the attractiveness (on a 1 to 9 scale, with 9 being the most attractive) of the person in the photo. They reported that for the attractive photo, M = 7.53; for the unattractive photo, M = 3.20, F (1, 108) = 184.29. Was this difference statistically significant (using = .05 )? The p value F(1,108) = 184.29 is less than 0.0001. Therefore, the difference is statistically significant because the p value is much less than .05 What was the effect size for the difference in (2a)?