A question of medical importance is whether jogging leads to reduction in one's pulse rate. To...
Please show equations used and
calculations for each problem
Problem 5 A question of medical importance is whether jogging leads to reduction in one's pulse rate. To test this hypothesis, eight non-jogging volunteers have agreed to begin a one-month jogging program. At the end of the month their pulse rates were determined and compared with their earlier values. Subject 1 2 3 4 5 6 7 8 Pulse rate before program 74 86 98 102 78 84 79 70 Pulse...
21.) A ski insurance company was conducting research and was interested in the pulse rate of skiers. One scientist from the company wanted to know if skiing would lead to a reduction in an individual's pulse rate. In order to test this hypothesis, the scientist found 8 non-skiers who agreed to being a one month long all paid for skiing program. At the end of the month their pulse rates were determined and compared using earlier values throughout the tests...
Use the accompanying data set on the pulse rates (in beats per minute) of males to complete parts (a) and (b) below. LOADING... Click the icon to view the pulse rates of males. a. Find the mean and standard deviation, and verify that the pulse rates have a distribution that is roughly normal. The mean of the pulse rates is 71.871.8 beats per minute. (Round to one decimal place as needed.) The standard deviation of the pulse rates is 12.212.2...
Pulse Rate (bpm) 70 57 65 86 55 103 56 92 56 46 66 89 52 60 77 67 63 78 68 48 37 88 61 73 61 88 94 45 76 95 38 90 91 83 95 102 59 82 69 41 56 96 49 69 93 35 79 Print Done Use the pulse rates in beats per minute (bpm) of a random sample of adult females listed in the data set available below to test the claim that...
A client wants to determine whether there is a significant difference in the time required to complete a program evaluation with the three different methods that are in common use. Suppose the times (in hours) required for each of 18 evaluators to conduct a program evaluation follow. Method 1 Method 2 Method 3 66 62 56 71 74 69 67 77 68 75 66 59 79 72 58 72 70 62 Use α = 0.05 and test to see whether...
Data (if needed): Race Position Oral exam results Written exam results Combined results B Lieutenant 45.83 46 45.932 B Lieutenant 52.92 49 50.568 B Captain 54.76 49 51.304 H Lieutenant 48.33 58 54.132 B Lieutenant 52.08 56 54.432 H Lieutenant 40.83 64 54.732 B Captain 60 53 55.8 W Captain 53.81 58 56.324 B Lieutenant 58.75 55 56.5 W Lieutenant 54.58 58 56.632 B Lieutenant 55.83 58 57.132 W Lieutenant 45.42 65 57.168 H Lieutenant 44.17 66 57.268 H Captain ...
A company sells medical supplies to hospitals and healthcare facilities that are mostly located in the Michiana region. The company has 150 employees, and it is about to decide whether part of them should be encouraged to work remotely, and if so, how many employees should do that. There are many aspects to be analyzed such as productivity and collaboration, but you will focus on the costs of space and IT at the company’s main office versus the costs of...
For each question
Identify the test statistic(round two decimal places)
Identify the P-value(round three decimal places)
Use the pulse rates in beats per minute (bpm) of a random sample of adult females listed in the data set available below to test the claim that the mean is less than 75 bpm. Use a 0.05 significance level. : Click the icon to view the pulse rate data Assuming all conditions for conducting a hypothesis test are met, what are the null...
Organization: Freestanding ER Services Title: ER Operations Manager Outline: Multiple Regression: Effect of Age and General Health Status Score on Total ER Cost. Purpose Importance Variables Sample Size Hypothesis Methodology Findings Interpretations/Implications Description of each Section Purpose: Identify the purpose of the analysis in this section. What questions do you hope to answer? Importance: State and explain the importance of this analysis to the department/organization. How will the findings be used? Variables: List all variables, explain how they will be...
Use the Housing_Interest Rate database YEAR MONTH FIXED_RATE% STARTS in $100 # Houses SOLD 1990 1 9.81 1551 45 1990 2 9.97 1437 50 1990 3 10.03 1289 58 1990 4 10.14 1248 52 1990 5 10.22 1212 50 1990 6 10.21 1177 50 1990 7 10.2 1171 46 1990 8 9.99 1115 46 1990 9 9.99 1110 38 1990 10 10.06 1014 37 1990 11 10.11 1145 34 1990 12 9.87 969 29 1991 1 9.75 798 30 1991...