Estimate sensitivity, specificity, positive predictive value, negative predictive value and prevalence from data in the 2 x 2 table for an infectious disease and its diagnostic test.

Q: The purpose of dividing the data into training and validation sets is to ensure that the results are…

A: solution

Q: Explain Single Observation Summary of Z-test Summary?

A: Z-test: Z-test is a statistical test used to determine whether two population means are different…

Q: Describe the difference in roles assumed by the validation partion and test partition in data mining…

A: Data mining is the process of extracting important information from large amount of data.

Q: what is the positive and negative impact of raw data?

A: By positive impact of raw data we mean the advantages of using raw data whereas the negatives…

Q: A simple main effect test is appropriate for analyzing which significant result?

A: Simple Effects : is appropriate for analyzing a significant interaction, follow-up tests are…

Q: What steps do I take on SPSS to do data screening for a T-Test?

A: For a T-test, the following assumptions are to be met and verified which is given by:   Continuos…

Q: How does statistical methods improve the quality of processes?

A: Statistical methods are used to improve and control the quality of process.

Q: What does Qualitative data consist of?

A: Qualitative data: Qualitative data is defined as the data that categorize or classify the…

Q: Why is the response rate an important consideration in survey? And give some examples to…

A: If response rate is low, results may notdemonstrate the population as well as if response rate was…

Q: Explain the difference between a quantitative predictor variable and a qualitative predictor…

A: Qualitative predictor variable: The values of the qualitative variable do not occur naturally on a…

Q: Why is it important to use multiple data points in your research? Select all that apply. To improve…

A: From the given information we find the solution. we use multiple data points because To improve…

Q: Identify the two most commonly used measures of center for quantitative data. Explain the relative…

A: The two most commonly used measures of center for quantitative data are mean and Median.  The mean…

Q: You are asked to design a study to investigate the effectiveness of the Atkins diet (IV = diet, DV =…

A:

Q: Calculate the coefficient of variation for each data set. Which data set has less consistency (or…

A: The coefficient of variation is defined as CV = (SD/mean )×100

Q: Which are three basic criteria for establishing causation in nomothetic analyses?

A: The first three criteria are generally considered for establishing causation in nomothetic analyses:…

Q: how do i find quartile 1 in a set of data?

A: First quartile: The first quartile is the middle-most observation or median of the lower half of the…

Q: Explain the concept of standardize the predictor variable ?

A: Standardization is the process of putting different variables on the same scale. The standardization…

Q: How do I go through the data screening process using 2 categorial and 2 quantitative variables?

A: Data screening for categorical variables:1. Check for Missing data.2. Test for association among the…

Q: 5. Identify the type of data (quantitative - discrete, quantitative- continuous, or qualitative)…

A: The quantitative variable takes the values of numerical measurements. There are two type of…

Q: Globally, numerous people died in road traffic crashes every year. For the betterment of the public…

A: From the given information, For the above traffic crash Analysis the additional variable can be…

Q: What is the difference between grouped data and ungrouped data? In which situation should grouped…

A: Ungrouped data is the raw data given as individual data points. Grouped data is the data given in…

Q: Explain the Flow chart for one-factor ANOVA.

A: A one way ANOVA refers to the Analysis of Variance. A one way ANOVA is used to test the equality of…

Q: A survey was conducted to determine whether age affects the level of development-orientedness of…

A:

Q: Differentiate between sensitivity analysis and scenario analysis.

A: The difference between the two methods is that sensitivity analysics examines the effect of changing…

Q: With reference to Healthcare, explain the applications of Statistical Quality control.

A: Statistical quality control is the use of statistical approaches to the monitoring and maintenance…

Q: Describe the procedure for defining a variable and rules for data codingin SPSS.

A: The procedure for defining a variable in SPSS are as follows: 1) The first step is to click on the…

Q: What is Scatterplot?

A: Scatterplot: A scatterplot is a type of data display that shows the relationship between two…

Q: Which are the steps involved in the construction of explanatory bivariate tables?

A: Explanatory Bivariate table: A Statistical technique intended to recognize and portray the…

Q: what is the use of spss in data analysis and why is it considered important

A: Spss is an application which consists of a set of software programs. The use of spss in data…

Q: Describe why a researcher would use ANOVA. and Design a research idea that would require ANOVA to…

A: The one-way variance analysis (ANOVA) is used to evaluate if the mean of three or more independent…

Q: A researcher is conducting a study on the palliative care patients at a specific facility to…

A: Wilcoxon test is a non parametric test.

Q: Describe how to Convert to Transform Standard Scores?

A:

Q: Distinguished Between primary and secondary data

A: Primary data is a type of data that is collected by the researcher himself to reach at the…

Q: Explain Univariate Analysis?

A: Univariate Analysis is the analysis of variable. As the name suggests 'uni' means one i.e analysis…

Q: What is the predicted response value? y =

A: Given Regression Equation : and,

Q: An ANOVA would help establish a cause-effect relationship true or false?

A: Here we have to answer, an ANOVA would help establish a cause effect relationship.

Q: Differentiate Regrassion analysis and Correlational analysis?

A:

Q: Describe the basic requirements that a data set must meet before it may be subjected to statistical…

A: Statistics is the branch of applied mathematics where we can do collection, analysis, interpretation…

Q: Can Discrete quantitative data provide reliable results?

A: Quantitative variables: The quantitative variable is the variable that measures a numerical…

Q: Suggest suitable univariate data analysis that can be used to help the researcher to make an…

A: Introduction - Univariate data analysis -  Univariate analysis is the simplest form of analyzing…

Q: true or false MSBetween represents the variability that is only affected by unsystematic factors.

A: The statement is not true.

Q: Distinguish between Research methods and Research methodology.

A: The research method accounts for all those methods, which a researcher employs to conduct a research…

Q: How many students use RStudio only for data analysis? How many students use at least two software…

A:

Q: Please give me an example of methods and design for a sequential design (combines cross sectional…

A:

Q: Explain how a restricted region of values of the predictor variables can affect our understanding of…

A: Restricted values of predictor variable:In a dataset, the available values of the predictor variable…

Q: Pap smears are a diagnostic test used to detect cervical cancer. Although the test has high…

A: Specificity: Specificity is the proportion of people who test negative for any specific disease from…