Construct dummy tables corresponding to the following research objectivesTo compare the nutritional status of the breast, bottle, and mixed-fed babies.To determine the relationship of the patient's compliance to medication for hypertension with his age and the severity of his disease.

Hello! As you have posted 2 different questions, we are answering the first question. In case you…

Answered: Construct dummy tables corresponding to…

Construct dummy tables corresponding to the following research objectives To compare the nutritional status of the breast, bottle, and mixed-fed babies.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Read the fictional scenario below and the Jacobsen text Introduction to Health Research Methods: A Practical Guide chapter 13. Then formulate qualitative methods which could be used to determine attitudes and beliefs toward the public health issue described in the scenario. Use the required headings shown below as a template:
The following raw data were collected by a health an analyst from 50 smokers. It represents Risk Index (R.I.) (measured as concentration ratio of certain compounds in the blood) which is used as a strong indicator for getting a cardiovascular (CV) disease. We would like to study the effect of each of the three factors (age, mass, and No. of cigarettes) on the R.I. : Answer the following: 1. Classify the data into 3 groups according to age: Young: age < 35, Middle aged: between 36 and 59, and Old: age > 60. Then study if the Risk Index is affected by age class. 2. Classify the data into 3 groups according to body mass: regular mass <70, fat mass between 71 and 99, and obese mass above 100. Then study if the mass has an influence on the R.I. 3. Produce a linear mathematical model that can predict the R.I. based on age, mass and number of cigarettes per day. Use a confidence level of 99%. 4. Comment on your linear model. Is there an evidence that a nonlinear model shall be…
J.D. Power and Associates surveys new automobile owners to learn about the quality of recently purchased vehicles. The following questions were asked in a J.D. Power Initial Quality Survey. Comment on whether each question provides categorical or quantitative data. (a) Did you purchase or lease the vehicle? O categorical O quantitative (b) What price did you pay? O categorical O quantitative (c) What is the overall attractiveness of your vehicle's exterior? (Unacceptable, Average, Outstanding, or Truly Exceptional) O categorical O quantitative (d) What is your average liters per 100 kilometers? O categorical O quantitative (e) What is your overall rating of your new vehicle? (1- to 10-point scale with 1 Unacceptable and 10 Truly Exceptional) O categorical O quantitative
I am determining how effective a Drug is at reducing inflammation in individuals infected with a virus. the serum levels of antibody are measured as a measure of inflammation (less antibodies means less inflammation which decreases virus mortality) in 30 people given placebo, 30 people given 1 unit of the drug, and 30 people given 2 units of the drug. I would like to determine what levels of the drug are effective, and if there are sex-specific effects. What are the dependent and independent variables in this experiment? age _________ sex __________ antibody level _____________ treatment ___________
You have the following two data points for a process undergoing learning: Y3 = 50 and Y7 = 35 What is the best equation to use for prediction? Group of answer choices Yx = 84.2 x-0.2324 Yx = 77.6 x-0.5323 Yx = 79.4 x-0.4210 Yx = 80.7 x-0.3365 insufficient information
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.…
Your younger brother, a fourth form practical geography student wishes to test whether there could be some relationship between annual visits to a local market by all residents surrounding that market. After a well-designed field study he obtains the following figures: Number of visits per year 21 13 19 18 17 17 14 20 10 11 Residence distance from market (KM) 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 From the information above, what is the dependent variable and what is the explanatory variable? Using (i) above, obtain the regression equation of Yi on Xi. Hence, estimate the residence distance from the market (in KM) if the number of visits are 16 visits Sketch your results in (ii) above. What conclusion can you draw from your sketch?
In a cohort study of pesticide exposure and cancer, a group of employees who were exposed to the pesticide and a comparative group who were not exposed were followed up for 30 years at a chemical company. Researchers found that the incidence of cancer among the exposed workers was 55.3 per 1,000. In the comparative group, the incidence of cancer was 15.7 per 1,000. Calculate the: 1. relative risk and the 2. attributable risks of exposure of exposure to pesticides and the development of cancer. Please show you calculations. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). B I U S Paragraph Arial ≡≡ EE X² X₂ CH H+ {} Ⓒ K + V 10pt >¶¶< +₁ ABC ✔ ✓ E A 11 "" Ω V Tx XQ 田く 52 A&A EXE
Maple syrup is a non-negligible nutritional source of manganese. It is made from the sap of two species of maple: the sugar maple and the black maple. To see if there is a significant difference between the manganese content of these two species of maple, we measured the manganese content (in mg per 100g syrup) for a sample of sugar maples and a sample of black maples. The data is summarized by the Minitab output below: Two-sample T for Sugar Maple Black Maple group N Mean St Dev SE Mean Sugar Maple 20 Black Maple 12 3.55 0.29 Find: (i) a point estimate for ₁-2, where ₁ and 2 are the average manganese contents of the sugar maple, respectively the black maple; (ii) the standard error of X₁ - X₂. A) (i) -0.07; (ii) 0.101 C) (i) -0.26; (ii) 0.097 E) (i) -0.07; (ii) 0.035 3.29 0.22 0.049 0.084 B) (i) -0.26; (ii) 0.188 D) (i) -0.26; (ii) 0.101
Read the scenario below to determine which one of the time threats to internal validity (test reactivity, instrumentation, history, and maturation) is of most concern, and provide one way to control for the threat. A researcher examines students' perception of their body image by conducting a 2-year longitudinal study of middle-school students (grades 6 - 8). Body image is measured using a scale and the same scale is measured under the same conditions at the beginning and end of the study.
Most supermarkets use scanners at the checkout counters. The data collected this way can be used to evaluate the effect of price and store's promotional activities on the sales of any product. The promotions at a store change weekly, and are mainly of two types: flyers distributed outside the store and through newspapers (which may or may not include that particular product), and in-store displays at the end of an aisle that call the customers' attention to the product. Weekly data was collected on a particular beverage brand, including sales (in number of units), price (in dollars), flyer (1 if product appeared that week, 0 if it didn't) and display (1 if a special display of the product was used that week, 0 if it wasn't).As a preliminary analysis, a simple linear regression model was done. The fitted regression equation was: sales = 2259 - 1418 price. The ANOVA F test p-value was .000, and r squared = 59.7%.According to this model, how many units will be sold, on average, when the…
You oversee assessing different training methods for effectiveness. You have data on 4 methods: Method 1 (?1 = 87, ?1= 12), Method 2 (?2= 92, ?2 = 14), Method 3 (?3= 88, ?3 = 15), and Method 4 (?4=75, ?4 = 11). Test for differences among these means, assuming ??B=64.81 and ??T=399.45.