6) A (real) published study in 2018 plotted the school grade distribution of female (red) and male (blue)students for STEM (science, technology, engineering, math) and non-stem subjects. The vertical lineof "top 25%" means among the top 25% in percentile for all students, female to male ratio is 1.1 to 1for STEM subjects (left), and female to male ratio is 1.3 to 1 for non-STEM subjects (right), and so on.Fig.3Frome Gender differences in individual variation in academic grades fail to fit expected patterns for STEMabDensity0.60.40.2STEMTop 25%, tm 1.1Top 5%, Im 0.9Top 1%, f:m 0.8Density06-0.4-02Non-STEMTop 25%, fm 1.3Top 5%, tm 1.1Top 1%, fm 0.9School gradesSchool gradesDiscuss whether each statement below is supported by the evidence presented in these two graphs(only), along with concepts from this course.a) [50 word limit] The standard deviation of girls' grades is higher than that of boys'.b) [150 word limit] Boys are better than girls in STEM. Girls are better than boys in non-STEM.

Given are the two graphs depicting the grades of males and females in STEM and non-STEM subjects.

Answered: Deraty 0.6 04- 0.2 STEM Top 25%, tm 1.1…

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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ont Paragraph Styles 4. The given table below shows the respective correlation coefficients between two variables with the corresponding p-values. Assume that the target population is composed of all ADZU employees. Required: a) Write the null hypothesis(Ho) and alternative hypothesis (Ha) for each pair of variables as reflected in the table below. b) Decide whether the null hypothesis can be rejected and then discuss the results (at least 15 words) for each pair of variables. Fasting Blood Sugar Level (FBSL) Systolic Blood Pressure (SBP) 0.85 p-value = 0.03 Body Mass Index (BMI) -0.63 p-value=0.005 Focus W Accessibility: Investigate 17 17 43
Draw the appropriate graph for each of the data sets given below. Explain the chosen graphs and give a short interpretation
2. Please reference attachment
The accompanying data represent the total compensation for 12 randomly selected chief executive officers (CEO) and the company's stock performance in a recent year. Complete parts (a) through (d) below. (a) One would think that a higher stock return would lead to a higher compensation. Based on this, what would likely be the explanatory variable? A.Stock return B.Compensation (c) Determine the linear correlation coefficient between compensation and stock return. r=____? (Round to three decimal places as needed.)
6
1. Explain the MVA table based image.
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
An investigator predicts that students taking an achievement test in the morning will perform differently than students taking the same test in the afternoon. Eight students are assigned to take the test in the morning and 8 students are assigned to take the test in the afternoon. Run an independent samples t-test and summarize findings using an alpha level of .05, two-tailed. Also construct a bar graph to graphically represent your results. Morning Group: 25, 31, 44, 36, 29, 42, 39, 41 Afternoon Group: 22, 25, 24, 27, 33, 28, 31, 34
Plz asap
Subject; ste
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. Use a significance level of x = 0.05 to answer the following questions. Correlation Results Correlation coeff, r: Critical r: P-value (two tailed): 0.000 Identify the correlation coefficient, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) OA. There are two critical values at r= ± OB. There is one critical value at r= Is there sufficient evidence to support the claim that there is a linear correlation between the weigh of bears and their chest sizes? Choose the correct below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) exceeds the critical value. A. No, because the absolute value of r= OB. Yes, because the absolute value of r= OC. No, because r= exceeds the positive critical value. falls…

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