Observe the R commander summary output below for thevariable "years of education completed." How much missingdata is there?> numSummary (GS52022_Bauman[, "educ", drop-FALSE), statistics=c("mean", "ad", "IQR", "quantiles")5,75,1))ad IQR 0% 25% 50% 75% 100%NA14.10812 2.893797 40 12 14 16 20 3524 20O 2.89O 14.10O 3524O 20

The R summary output of the variable "years of education completed"…

Answered: Observe the R commander summary output…

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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Data are collected in an experiment designed to in- vestigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are as- signed to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks and 32 weeks gestation. The data are shown in Table 7–7. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. back side sitting standing 140 141 144 147 144 143 145 145 146 145 147 148 141 144 148 149 139 136 144 145
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The best depiction of a population characteristic is a(an): Dependent variable Statistic Independent variable Parameter
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Hw03's csv file attached below.please answer for Question 2 and Question 3
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
explain/interpret thoroughly the SPSS result of all variables in the datasets, including the highlighted areas
please explain and answer all parts
Please anwser using SPSS!
Use a chi-square test for independence to compare the proportion of males and females (sex) that indicate that they have a sleep problem (problem). ²critical= ²calculated = Decision = Report results:
Provide an Interpretation for the following SPSS Output: Correlations Total Annual Household Income(in USD) BMI (kg/m2) Total Annual Household Income(in USD) Pearson Correlation 1 -.107 Sig. (2-tailed) .000 N 1750 1750 BMI (kg/m2) Pearson Correlation -.107 1 Sig. (2-tailed) .000 Edit View Insert Format Tools Table 12pt v Paragraph BIUA >

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