Is there any significant difference in the impact of procrastination inacademic performance of the students when group according to strand? Us«alpha 0.05 (data as follows)STRAND(R)STRONGLYAGREE (k,)AGREE(k2)DISAGREE(k3)STRONGLYTOTAL:DISAGREE(k4)ABM11213023STEM16182011GAS108.HUMSS192214ICT20282210TOTAL:

Given information: STRONGLY AGREE AGREE DISAGREE STRONGLY DISAGREE Total ABM 11 21 30 23 85…

Answered: Is there any significant difference in…

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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If an item is administered to 100 individuals has a difficulty index of 0.20, this item has a variance of (a)_. This suggests that the item regroups the individuals into two groups: a group composed of_(b) people having correctly responded to the item in question and another group of (c)_people_ not having correctly responded to the item.
Use the GSS2016.SAV file and SPSS to produce a CROSSTAB for the variables CLASS and RECYCLE. Before conducting your analysis, first reverse code SATJOB so that 1 = Very Dissatisfied; 2=Moderately Dissatisfied; 3=Moderately Satisfied; and 4=Very satisfied. Set all other values (8, 9) to system missing. Then examine the relationship between social class and job satisfaction by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer’s V, Lambda, or Gamma). Set alpha to .05. State the null and research hypotheses: H0: H1: What is the obtained chi-square value? What is the significance level (p-value) for the obtained chi-square? Should we reject or fail to reject the null hypothesis? Is there a statistically significant relationship between these variables? Which measure of association would be most appropriate for these variables? What is the value of the measure of…
During the Movement Control Order period due to Covid-19 pandemic, employees have been asked to work from home where meetings and appointments are done online. From a recent survey, 355 out of 1000 employees from State A and 498 out of 1200 employees from State B claimed that they prefer to use Google Meet for their online meetings. Based on the sample data, is there any significant di↵erence between the proportions of employees from State A and State B who prefer to use Google Meet for their online meetings? Test at α = 0.01.
A researcher conducted an experiment to test the effects of running 3 different types of gasoline with 3 possible types of additive on the mileage obtained. The experiment assumed that there is an interaction between gasoline type and the type of additive,hence, a two-factor ANOVA was employed in the data analysis. It was decided to run 36 motors – 4 in each factor level combinations. The following are the analysis results MEAN ADDITIVE 1 ADDITIVE 2 ADDITIVE 3 GAS TYPE 1 125.825 130.775 128.275 128.2917 GAS TYPE 2 127 133.6 137.825 132.8083 GAS TYPE 3 126.35 132.5 123 127.2833 126.3917 132.2917 129.7 129.4611 Analysis of Variance Table Df Sum Sq Mean Sq F Value Pr(>F) factor(gas.type) 2 207.7706 103.8853 11.08482 0.000306 factor(additive) 2 209.8872 104.9436 11.19775 0.000287 factor(gas.type):factor(additive) 4 262.9678 65.74194 7.01483 0.000523 Residuals 27 253.04 9.371852 NA NA a.) Is there a significant interaction between the type of…
A lumber company in East Texas is interested in the quantitative traits responsible for faster growth in trees. First they need to identify how many genes are involved in tree growth. The researchers of the company start by crossing trees that grow 6 inches per year (ipy) with trees that grow 24 ipy. From this cross trees that grow 15 ipy were obtained. If two 15 ipy trees are crossed, a binomial pattern is observed with 6 and 24 ipy trees occurring at a rate of 1/64. If a 15 ipy F1 individual is crossed to a 24 ipy individual, what is the probability of observing a 21 ipy individual?
This is excercise 4.12 for reference: 4.12 At the website www.stat.ufl.edu/~aa/intro-cda/data for the 2nd edition of this book, the MBTI data file cross-classifies a sample of people from the MBTI Step II National Sample on whether they report drinking alcohol frequently and on the four binary scales of the Myers-Briggs personality test: Extroversion/Introversion (E/I), Sensing/iNtuitive (S/N), Thinking/Feeling (T/F) and Judging/Perceiving (J/P). The 16 predictor combinations correspond to the 16 personality types: ESTJ, ESTP, ESFJ, ESFP, ENTJ, ENTP, ENFJ, ENFP, ISTJ, ISTP, ISFJ, ISFP, INTJ, INTP, INFJ, INFP. (e.g., of the 77 people of type ESTJ, 13 reported smoking frequently.) Fit a model using the four scales as predictors of the probability of drinking alcohol frequently.Report the prediction equation, specifying how you set up the indicator variables.Based on the model parameter estimates, explain why the personality type with the highest estimated probability of drinking alcohol…
It is believed that sunlight offers some protection against multiple sclerosis (MS), but the reason is unknown. Researchers randomly assigned mice to one of: Control (nothing), Vitamin D Supplements, and UV Light. All mice were injected with proteins known to induce a form of MS, and they observed which mice got MS. In testing whether Vitamin D provides protection against MS (Vitamin D vs control group), the p-value is 0.47. Write down A) null and alternative hypothesis
An enterprise aims to test the hypothesis that the average lifetimes of batteries produced by 3 different machines are different for at least two machine outputs at a significance level of 0.05. For this, 7 outputs were selected randomly from each machine and some calculations were made accordingly, and the sum of the squares between the groups was 45, and the sum of the squares within the group was 10. Accordingly, what is the general sum of the squares in this analysis? What is the calculated value?
Which of the following Python methods is used to perform an unpaired t-test for the difference in two population means? paired_ttest from scipy module proportions_ztest from statsmodels module ttest_ind from scipy module
A researcher uncovers that there is a significant interaction between the factor of marital status (i.e., married or non-married) and participant sex (i.e., male or female) regarding well-being among a sample with n = 6 participants in each condition. A researcher decides to compare the difference in well-being between married men and women. The MSwithin treatments from the original two-factor analysis is MSwithin treatments = 1.00. What is the F-ratio for this comparison using the matrix below, which depicts descriptive statistics regarding married participants? __________________________________________________________________________________________ Participant Sex Males Females __________________________________________________________________ n = 6 n = 6 N = 12 M = 4…
There are 39 observations representing the 39 Peruvians in the dataset and 10 variables. Factor Analysis was performed on the data set, giving the following result for the factor loadings based on the correlation matrix, with PC as factor extraction method unrotated and using 3 factors. Variable Age Years Weight Height Chin Forearm Calf Pulse Systol Diastol Factor Loadings (Unrotated) (peruvian) Extraction: Principal components (Marked loadings are >.500000) Factor 2 Factor 1 -0.349816 0.763287 -0.416995 0.764342 -0.884494 0.243825 -0.255384 0.188597 -0.707324 -0.104618 -0.789642 -0.327357 -0.679921 -0.456050 -0.465664 0.034710 -0.522348 -0.274233 -0.479173 -0.166765 Factor 3 0.078367 0.169844 -0.220992 -0.680960 0.363285 0.365142 0.221273 0.272035 -0.538937 -0.562990 What is the specific variance of the variable Years? (final answer to 3 decimal places)
General Motors and Ford have produced cars with the same size diesel engin in determining whether or not there is a significant difference in the gas consumption of the two models of automobiles. A random sample of 7 cars from each manufacturer is selected, and 7 drivers are selected to drive one of GM and one of Ford cars for a specified distance implying that driver 1 drove the first GM car and the first Ford car, driver 2 drove the second GM car and the second Ford car, driver 3 drove third GM car and the third Ford car, and so on. The MPG (miles per gallon) data is recorded and summarized in the following table: Driver 1 2 3 4 5 6 7 General Motors Model (MPG) 29 25 26 25 22 24 27 A Ford Model (MPG) 26 23 27 25 24 23 25 Which of the following is a correct statement if the objective of the test of hypothesis is to determine whether there is a difference in the gas consumption of the two models? Select one: O A. Ho: HGM = Ford OB. Ho: D=0 (where D is the mean population difference)

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