3. More types of variables and dataIndependent and Dependent VariablesMany statistical experiments explore relationships between variables. In some cases, one variable (known as independent) predicts another variable(known as dependent). In some cases, several independent variables predict a single dependent variable. In graphical terms, Independent variablesare plotted on the X-axis while dependent variables are on the Y-axis.Relationships Between VariablesIf two variables are distributed consistently, we conclude that a relationship exists. However, you must be careful how you characterize thisrelationship. Are the variables merely correlated, or is there a causal relationship (that is, one variable causes the other)?Check Your UnderstandingIdentify whether each of the following variables is a nominal, ordinal, discrete, or continuous variable.Variable of interestEye colorAverage speed drivenSale price of a carNumber of cars soldSurvey response (Strongly disagree, Disagree, Neutral, Agree, Strongly agree)Distance traveledLength of a phone callAnnual incomeQualitativeNominal OrdinalOOOOOOOOOOOOOOOQuantitativeDiscrete ContinuousOOOOOOGrade It NowOOOOOSave & Continue

Variables and data can be categorized in various ways based on their characteristics and nature.…

Answered: Variable of interest Eye color Average…

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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Doctors are testing a new antidepressant. A group of patients, all with similar characteristics, take part in the study. Some of the patients receive the new drug, while others receive the traditional drug. During the study, a number of patients complain about insomnia. The data are shown in the contingency table below. What is the relative risk of insomnia for those who receive the new drug? Round to two decimal places. New drug Total Insomnia No insomnia Total Traditional drug 36 Provide your answer below: 52 88 226 295 521 278 331 609
Variables Age at which first child was born AGEKDBRN Survey question: How old were you when your first child was born? Respondent’s sex SEX Respondent’s sex (1 = male or 2 = female) Descriptive Statistics: Sex n Mean Std. Dev. Min. Q1 Median Q3 Max. IQR male 679 25.5 5.91 12 21 25 29 51 8 female 987 23.4 5.45 13 19 22 27 45 8 Descriptive Statistics: Group Sample Size Mean Std. Dev. female 987 23.44 5.45 male 679 25.55 5.91 Question: Find the 95% confidence interval for the difference between men and women in the mean age at which their first child was born and report the results below. Find the confidence interval for the difference (mean for men – mean for women). Describe in words what the confidence interval shows about the difference in the mean age at which men and women have their first child.
Using the graph attached below develop a paragraph in which you discuss the contents of the table
Price($) W Price ($) A $3.98 $3.99 $2.28 $3.49 $3.08 $5.29 $0.58 $0.60 $2.00 $1.77 $8.98 $10.49 $3.94 $3.99 $3.50 $5.49 $1.50 $0.99 $2.18 $2.29 $3.88 $3.19 $2.78 $2.99 $2.12 $1.00 $0.88 $0.59 $2.64 $2.79 $0.98 $1.99 $0.98 $1.00 $0.75 $1.00 $0.28 $0.29 $2.98 $3.99 $2.82 $2.79 $0.94 $1.19 $1.47 $1.25 $5.48 $4.99 $3.98 $3.99 $3.48 $3.79 $1.08 $1.89 $1.08 $1.00 $1.00 $1.50 $0.58 $0.50 Trying to determine if A is more expenive than W. Test Your Claim for Using a 2 Sample Hypothesis Test with a 5% Level of Significance. 1. Define µ1 and µ2 2. Determine the null and alternate hypothesis and identify the claim. 3. Using technology find the test statistic and interpret it. 4. Make a decision of rejecting or failing to reject the null hypothesis. You can use the Classical Approach (using critical values) or the P-value Approach but you must thoroughly explain which method you used and walk me through your steps. 5. State your…
frequency distribution based on sales per unit Classes Frequency 0-0.5 10 0.5-1 40 1-1.5 25 1.5-2 12 2-2.5 6 2.5-3 4 3-3.5 2 3.5-4 1 Total 100 40 12 6 those are incorrect and I am having trouble coming up with the correct answer?? Please advise
Earnings class Frequency Relative Frequency Cumulative Relative Frequency $0 ≤ Bill < $60 99 0.5294 0.5294 $60 ≤ Bill < $120 79 0.4225 0.9519 $120 ≤ Bill < $180 3 0.0160 0.9679 $180 ≤ Bill < $240 2 0.0107 0.9786 $240 ≤ Bill < $300 0 0.0000 0.9786 $300 ≤ Bill 4 0.0214 1 Construct a relative frequency histogram and an ogive for the bill data of male students, using the frequency distribution table
Relative Frequency 0.40 0.35 0.30 0.25 0.20 0.15 0.10 0.05 0.00 0.00 Mature 0.00 0.00 0.00 Teen Everyone Everyone 10+
Choose correct option.. And explain all question. Ty
Interval The table to the right shows the class frequency for each of the class intervals. Use this table to construct a histogram. Frequency 20 - 29 4 30 - 39 40 - 49 50 - 59 6. 60 - 69 2 ..... Which histogram below correctly models the data of the given table? A. В. С. D. TITT АВСDE Interval TIT АВСDE TITT АВСDE АВСDE Interval Interval Interval A: 20 - 29 B: 30 - 39 A: 20 - 29 А: 20 - 29 А: 20- 29 B: 30 - 39 B: 30 - 39 B: 30 - 39 C: 40 - 49 C: 40 - 49 С: 40- 49 D: 50 - 59 C: 40 - 49 D: 50 - 59 D: 50 - 59 D: 50 - 59 E: 60 - 69 E: 60 - 69 E: 60 - 69 E: 60 - 69 Frequency Frequency Frequency Frequency
Year Change_Over_Five_Days Change_For_Entire_Year1 0.2 -0.22 0.2 -0.13 0.2 1.84 -0.4 1.25 -0.1 -0.36 0.2 -0.67 -0.1 0.88 -0.9 1.89 0.2 -0.710 0.1 -1.011 0.2 -1.0
Source Value Std Err P value Intercept 26272.327 674.907 38.927 <0.0001 BA 35451.244 580.632 61.056 <0.0001 Female -17064.762 495.537 -34.437 <0.0001 FemalexBA -10509.614 824.520 -12.746 <0.0001 Age 533.753 14.074 37.925 <0.0001 Hours -1.698 0.878 -1.934 0.061 In an attempt to evaluate the difference in the impact of a degree on income by gender a researcher filters their data down to just individuals with a High School Diploma or a Bachelors Degree and gets the results shown above. a. How much does a Bachelors Degree increase the income for a woman? b. How much is the difference in the impact of a Bachelors Degree for women compared with men? c. What would the income be for a 52 year old male with a Bachelors Degree, who works an average of 50 hours a week?
Rainfall (inches) Number of Years20 - 24 125 - 29 330 - 34 535 - 39 840 - 44 545 - 49 250 - 54 055 - 59 1 Draw a histogram, a frequency polygon and cumulative frequency polygon forthis data.

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