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Note that for a set of consecutive integers, the median is the the average of the first and the last integer
M
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median>4/5
mean>0.5
answer=5.80
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PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by increasing the sample size. Write a 250- to 300-word response to the following: What is the role of sample size in the calculation of confidence intervals? What factors might determine the size of an ideal sample in your dissertation study? Reference: Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc. PART 2. Reply in 150 or more words Here is something I learned recently. I had a student who used a second party data collection cite. He received the data and sample size he needed but most of the data was filled out as all zeros or all 10s as the participant did not actually take the survey and just filled it out quickly. Do you think this data should count and what can we do if this occurs? PART 3 Write a 250- to 300-word response to the following: How can estimation errors threaten the validity of a study? Cite specific examples from your experience to support your response. PART 4 Reply In at least 150 words. When we look at estimating errors, this can be a key reflection of the validity of the sample data. For example, as systematic estimation errors increase validity decreases. Likewise, as systematic estimation errors decrease, validity increases. Why do you think that is?
HLTH 501 Penn State Technology and Suicide Among School Age Youth Discussion
Describe the study sample.Compare risk factors in men and women.What characteristics are associated with BMI?Who is most ...
HLTH 501 Penn State Technology and Suicide Among School Age Youth Discussion
Describe the study sample.Compare risk factors in men and women.What characteristics are associated with BMI?Who is most likely to have prevalent coronary heart disease?Describe the Data collection Methods used in the studyPlease Provide a Summary of the data analysis as a whole . Summary should include pertinent information of all the questions above. This summary should not exceed 300 words. 1. Complete the following table to describe the study sample using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Total Sample (n = 4434) Age, years 49.93 (8.68) Male sex 1944 (43.84) Systolic blood pressure, mmHg 132.91 (22.42) Diastolic blood pressure, mmHg 83.08 (12.06) Use of anti-hypertensive medication 144 (3.29) Current smoker 1944 (43.84) Total serum cholesterol, mg/dL 236.98 (44.65) Body mass index 25.85 (4.10) Diabetes 121 (2.73) * Mean (Standard deviation) or n (%) 2. Complete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Men (n = 1944) Women (n = 2490) Age, years 49.79 (8.72) 50.03 (8.64) Systolic blood pressure, mmHg 131.74 (19.44) 133.82 (24.46) Diastolic blood pressure, mmHg 83.71 (11.44) 82.60 (12.50) Use of anti-hypertensive medication 42 (2.19) 102 (4.16) Current smoker 1175 (60.44) 1006 (40.40) Total serum cholesterol, mg/dL 233.58 (42.36) 239.68 (46.22) Body mass index 26.17 (3.41) 25.60 (4.56) Diabetes 59 (3.04) 62 (2.49) * Mean (Standard deviation) or n (%) 3.Use simple and multivariable linear regression analysis to complete the following table relating the characteristics listed to BMI as a continuous variable. Before conducting the analysis, be sure that all participants have complete data on all analysis variables. If participants are excluded due to missing data, the numbers excluded should be reported. Then, describe how each characteristic is related to BMI. Are crude and multivariable effects similar? What might explain or account for any differences? Outcome Variable: BMI, kg/m2 Characteristic Regression Coefficient Crude Models p-value Regression Coefficient Multivariable Model p-value Age, years 0.0627 <0.001 -0.02155 0.004 Male sex -0.580 <0.001 -0.9884 <0.001 Systolic blood pressure, mmHg 0.0603 <0.001 0.05716 <0.001 Total serum cholesterol, mg/dL 0.0113 <0.001 0.00638 <0.001 Current smoker -1.4017 <0.001 -1.2818 <0.001 Diabetes 2.2918 <0.001 1.2355 0.001 4. Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the table below and then compare risk factors in persons with and without prevalent CHD. Be sure to indicate what statistical tests were used in the footnote to the table and in a brief summary of a paragraph or less. Patient Characteristic* History of CHD (n = 194) No History of CHD (n = 4240) p-value* Age, years 57.48 (7.42) 49.58 (8.57) <0.001 Systolic blood pressure, mmHg 144.99 (27.03 132.35 (22.03) <0.001 Diastolic blood pressure, mmHg 87.14 (14.33) 82.90 (11.91) <0.001 Total serum cholesterol, mg/dL 243.19 (45.61) 236.69 (44.6) 0.0486 Body mass index 26.83 (4.45) 25.80 (4.08) <0.001 * Mean (Standard deviation). P-values are based on two independent samples t tests.5. Describe the Data collection Methods used in the study6. Please Provide a Summary of the data analysis as a whole . Summary should include pertinent information of all the questions above. This summary should not exceed 300 words.
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Most Popular Content
6 pages
Sav Answers
This assignment will allow you to practice data analysis using SPSS. You will utilize data from the Framingham Study (FRAM ...
Sav Answers
This assignment will allow you to practice data analysis using SPSS. You will utilize data from the Framingham Study (FRAM_SUBSET) dataset posted on ...
Res 710 discussion posts
PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by ...
Res 710 discussion posts
PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by increasing the sample size. Write a 250- to 300-word response to the following: What is the role of sample size in the calculation of confidence intervals? What factors might determine the size of an ideal sample in your dissertation study? Reference: Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc. PART 2. Reply in 150 or more words Here is something I learned recently. I had a student who used a second party data collection cite. He received the data and sample size he needed but most of the data was filled out as all zeros or all 10s as the participant did not actually take the survey and just filled it out quickly. Do you think this data should count and what can we do if this occurs? PART 3 Write a 250- to 300-word response to the following: How can estimation errors threaten the validity of a study? Cite specific examples from your experience to support your response. PART 4 Reply In at least 150 words. When we look at estimating errors, this can be a key reflection of the validity of the sample data. For example, as systematic estimation errors increase validity decreases. Likewise, as systematic estimation errors decrease, validity increases. Why do you think that is?
HLTH 501 Penn State Technology and Suicide Among School Age Youth Discussion
Describe the study sample.Compare risk factors in men and women.What characteristics are associated with BMI?Who is most ...
HLTH 501 Penn State Technology and Suicide Among School Age Youth Discussion
Describe the study sample.Compare risk factors in men and women.What characteristics are associated with BMI?Who is most likely to have prevalent coronary heart disease?Describe the Data collection Methods used in the studyPlease Provide a Summary of the data analysis as a whole . Summary should include pertinent information of all the questions above. This summary should not exceed 300 words. 1. Complete the following table to describe the study sample using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Total Sample (n = 4434) Age, years 49.93 (8.68) Male sex 1944 (43.84) Systolic blood pressure, mmHg 132.91 (22.42) Diastolic blood pressure, mmHg 83.08 (12.06) Use of anti-hypertensive medication 144 (3.29) Current smoker 1944 (43.84) Total serum cholesterol, mg/dL 236.98 (44.65) Body mass index 25.85 (4.10) Diabetes 121 (2.73) * Mean (Standard deviation) or n (%) 2. Complete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Men (n = 1944) Women (n = 2490) Age, years 49.79 (8.72) 50.03 (8.64) Systolic blood pressure, mmHg 131.74 (19.44) 133.82 (24.46) Diastolic blood pressure, mmHg 83.71 (11.44) 82.60 (12.50) Use of anti-hypertensive medication 42 (2.19) 102 (4.16) Current smoker 1175 (60.44) 1006 (40.40) Total serum cholesterol, mg/dL 233.58 (42.36) 239.68 (46.22) Body mass index 26.17 (3.41) 25.60 (4.56) Diabetes 59 (3.04) 62 (2.49) * Mean (Standard deviation) or n (%) 3.Use simple and multivariable linear regression analysis to complete the following table relating the characteristics listed to BMI as a continuous variable. Before conducting the analysis, be sure that all participants have complete data on all analysis variables. If participants are excluded due to missing data, the numbers excluded should be reported. Then, describe how each characteristic is related to BMI. Are crude and multivariable effects similar? What might explain or account for any differences? Outcome Variable: BMI, kg/m2 Characteristic Regression Coefficient Crude Models p-value Regression Coefficient Multivariable Model p-value Age, years 0.0627 <0.001 -0.02155 0.004 Male sex -0.580 <0.001 -0.9884 <0.001 Systolic blood pressure, mmHg 0.0603 <0.001 0.05716 <0.001 Total serum cholesterol, mg/dL 0.0113 <0.001 0.00638 <0.001 Current smoker -1.4017 <0.001 -1.2818 <0.001 Diabetes 2.2918 <0.001 1.2355 0.001 4. Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the table below and then compare risk factors in persons with and without prevalent CHD. Be sure to indicate what statistical tests were used in the footnote to the table and in a brief summary of a paragraph or less. Patient Characteristic* History of CHD (n = 194) No History of CHD (n = 4240) p-value* Age, years 57.48 (7.42) 49.58 (8.57) <0.001 Systolic blood pressure, mmHg 144.99 (27.03 132.35 (22.03) <0.001 Diastolic blood pressure, mmHg 87.14 (14.33) 82.90 (11.91) <0.001 Total serum cholesterol, mg/dL 243.19 (45.61) 236.69 (44.6) 0.0486 Body mass index 26.83 (4.45) 25.80 (4.08) <0.001 * Mean (Standard deviation). P-values are based on two independent samples t tests.5. Describe the Data collection Methods used in the study6. Please Provide a Summary of the data analysis as a whole . Summary should include pertinent information of all the questions above. This summary should not exceed 300 words.
Belhaven University How Does Mathematics Affect Your Life Discussion Questions
Question 1
Prompt: How does mathematics affect your life? How, if at all, has this class developed your understanding ...
Belhaven University How Does Mathematics Affect Your Life Discussion Questions
Question 1
Prompt: How does mathematics affect your life? How, if at all, has this class developed your understanding in this regard?
Requirements: 250 words minimum initial post, 100 words minimum reply
Question 2
Prompt: In Genesis 41: 25-39, we see Joseph provide a wise solution to Pharaoh. What lesson(s) can we learn from Joseph's story?
6 pages
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The Management of Pharoah Manufacturing Company is evaluating two forklift systems to use in its plant that produces the t ...
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