**2. Recovering from Surgery:**A new postsurgical treatment was compared with a standard treatment. Seven subjects received the new treatment, while seven others (the controls) received the standard treatment. The recovery times, in days, are given below. Can you conclude that the mean recovery time for those receiving the new treatment is less than the mean for those receiving the standard treatment? Use the α = 0.05 level.| | Treatment | | | | | ||--------------|------------|-----------|-----------|----------|---------|---------|| New Treatment| 12 | 13 | 15 | 19 | 20 | 21 | 24 || Control | 18 | 23 | 24 | 30 | 32 | 35 | 39 |(a) **List the null and alternate hypotheses.**\[H_0 :\]\[H_1 :\](b) **List the distribution, the test statistic, the calculator program, and all input and output variables.**(c) **List the \( P \)-value.**(d) **Make the comparison.**We reject \[ H_0 \] / We do not reject \[ H_0 \] (circle one)(e) **State the final conclusion in the wording of the problem.**

From the information, given thatLet denotes the population mean recovery time receiving the new…

Answered: 2. Recovering from surgery: A new…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A survey conducted by a research team was to investigate how the education level, tenure in current employment, and age, are related to annual income. A sample 20 emloyees is selected and the data is given below. 1. Which variable has significant relationship with income at 0.05 level of significance?
A researcher is investigating the effectiveness of two weight loss treatments. The number of patients attending Treatment A and Treatment B are 30 and 32 respectively. The patients’ weight losses (in Kg) after a two-month treatment period are recorded and shown in Table 1: What type of research design you think this research should be classified? Explain your answer. Based on the research objective of the study, identify the: Independent and dependent variables of this research. Scale of measurement of each of the independent and dependent variables. For EACH of the treatment, determine/construct the following measures and histograms of weight losses using SPSS or any suitable statistical analysis tool: Mean Median Range Histogram d. Based on the histograms of weight losses produced in (c), briefly describe: The shape of distribution of weight losses for EACH treatment. How does the distribution of Treatment A differ from Treatment B e.…
Refer to the data presented in Exercise 2.86. Note that there were 50% more accidents in the 25 to less than 30 age group than in the 20 to less than 25 age group. Does this suggest that the older group of drivers in this city is more accident- prone than the younger group? What other explanation might account for the difference in accident rates?
The contingency table shows the results of a random sample of patients from musculoskeletal injuries treated with acetaminophen or ibuprofen. At a=0.10, can you conclude that the treatment is related to the result? Result acetaminophen Ibuprofen Significant improvement 58 81 Slight improvement 42 19
A study is designed to investigate whether there is a difference in response to various treatments in patients with Rheumatoid arthritis. The outcome is the patient’s self-reported effect of treatment. The data are shown below. Is there a significant difference in effect of treatment? Run the test at a 5% level of significance. Symptoms Worsened No Effect Symptoms Improved Total Treatment 1 22 14 14 50 Treatment 2 14 15 21 50 Treatment 3 9 12 29 50 Using the data above, suppose we focus on the proportions of patients who show improvement. Is there a statistically significant difference in the proportions of patients who show improvement between treatments 1 and 2? Run the test at a 5% level of significance.
Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information: x 1 2 3 4 5 y 15.8 17.3 14.4 19.6 20.0 Σx = 15; Σy = 87.1; Σx2 = 55; Σy2 = 1,540.45; Σxy = 272 (a) Find x, y, b, and the equation of the least-squares line. (Round your answers for x and y to two decimal places. Round your least-squares estimates to three decimal places.) x = y = b = ŷ = + x (b) Draw a scatter diagram for the data. Plot the least-squares line on your scatter diagram. (c) Find the sample correlation coefficient r and the coefficient of determination r2. (Round your answers to three decimal places.) r = r2 = What percentage of variation in y is…
Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information: x 1 2 3 4 5 y 13.8 19.3 14.4 19.6 20.0 Σx = 15; Σy = 87.1; Σx2 = 55; Σy2 = 1554.45; Σxy = 274b) Find the equation of the least-squares line. (Round your answers to two decimal places.) ŷ = + x (c) Find r. Find the coefficient of determination r2. (Round your answers to three decimal places.) r = r2 = d) Test the claim that the population correlation coefficient is positive at the 1% level of significance. (Round your test statistic to three decimal places.) t =
Please let me know if I calculated relative risk correctly. Thank you for your assistance.
Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information: x 1 2 3 4 5 y 15.8 17.3 14.4 19.6 20.0 Σx = 15; Σy = 87.1; Σx2 = 55; Σy2 = 1,540.45; Σxy = 272 (a) Find x, y, b, and the equation of the least-squares line. (Round your answers for x and y to two decimal places. Round your least-squares estimates to three decimal places.) x = y = b = ŷ = + x
What are the missing values for Between and Within treatment, in terms of DF, MS and F?
As a good experimenter, you have built a predictive model of the experimental data. The differences between the actual response data and the model data are termed: A. Confounded data B. Nested experiments C. Residuals D. Efficiency of estimators
A statistic teacher recorded the Math and Science test scores of twelve students from one section. Using 0.05 as the level of significance, is there a significant relationship between the test scores in Mathematics and Science? Student number Math Scores (X) Science Scores (Y) 1 18 20 2 16 18 3 11 12 4 15 17 5 15 15 6 11 14 7 11 12 8 13 14 9 8 10 10 9 13 11 13 12 12 7 9 What does the value of r means? a) moderate positive correlation b) perfect positive correlation c) low positive correlation d) very high positive correlation e) moderate negative correlation

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