The dataset ICUAdmissions contains information on a sample of 200 patients being admitted to the Intensive Care Unit (ICU) at a hospital. One of the variables is HeartRate and another is Statuswhich indicates whether the patient lived (Status=0) or died (Status=1). The computer output below shows the details of a test to determine whether mean heart rate is different between patients who lived and died. (You should not do any computations. State the hypotheses based on the output, read the p-value off the output, and state the conclusion). Two-sample T for HeartRate Status N Mean StDev SE Mean 0 160 98.5 27.0 2.1 1 40 100.6 26.5 4.2 Difference = μ (0) − μ (1) Estimate for difference: -2.12 95% CI for difference: (-11.53,7.28) T-Test of difference =0 (vs not = ): T-Value =-0.45 P-Value =0.653 DF =60 Click here for the dataset associated with this question. State the null and alternative hypotheses. Your answer should be an expression composed of symbols: =,≠,<,>,μ,μ1,μ2,p,p1,p2,ρ,p^,p^1,p^2,r. Use subscripts 1 for patients who live (Status=0) and 2 (Status=1) for patients who die. H0: vs Ha:Edit Give the p-value. Enter the exact answer. p-value = Enter your answer in accordance to the question statement exact number, no tolerance What is the conclusion using a 5% significance level? Reject H0. Do not reject H0.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Chapter 6, Section 4-HT, Exercise 228 - MathPad
The dataset ICUAdmissions contains information on a sample of 200 patients being admitted to the Intensive Care Unit (ICU) at a hospital. One of the variables is HeartRate and another is Statuswhich indicates whether the patient lived (Status=0) or died (Status=1). The computer output below shows the details of a test to determine whether mean heart rate is different between patients who lived and died. (You should not do any computations. State the hypotheses based on the output, read the p-value off the output, and state the conclusion).
| Two-sample T for HeartRate | ||||
| Status | N | Mean | StDev | SE Mean |
|---|---|---|---|---|
| 0 | 160 | 98.5 | 27.0 | 2.1 |
| 1 | 40 | 100.6 | 26.5 | 4.2 |
| Difference = μ (0) − μ (1) | ||||
| Estimate for difference: -2.12 | ||||
| 95% CI for difference: (-11.53,7.28) | ||||
| T-Test of difference =0 (vs not = ): T-Value =-0.45 | ||||
| P-Value =0.653 DF =60 Click here for the dataset associated with this question. |
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