You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table.| | X | Y | Z ||---|---|---|---|| A | 25 | 33 | 33 || B | 27 | 36 | 40 |Give all answers rounded to 3 places after the decimal point, if necessary.(a) Enter the **expected frequencies** below:| | X | Y | Z ||---|-------|-------|-------|| A | | | || B | | | |(b) What is the chi-square **test-statistic** for this data?Test Statistic: χ² = [ ](c) What is the **critical value** for this test of independence when using a significance level of α = 0.025?Critical Value: χ² = [ ](d) What is the correct conclusion of this hypothesis test at the 0.025 significance level?- There is not sufficient evidence to support the claim that the row and column variables are dependent.- There is not sufficient evidence to warrant rejection of the claim that the row and column variables are dependent.- There is sufficient evidence to warrant rejection of the claim that the row and column variables are dependent.- There is sufficient evidence to support the claim that the row and column variables are dependent.**Remember to give all answers rounded to 3 places after the decimal point, if necessary.**

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Answered: You are conducting a test of the claim…

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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Q.1 Q.1 Two samples A and B were taken from a large concrete mix and tested for the compressive strength of concrete (in MPa), find the mean, median and mode of cach of the two samples. The results of tested specimens from each sample were as follows: 国 Compressive Strength 15 18 21 24 27 30 (MPa) Sample A Frequency 2 2 4 1 Sample B Frequency 3 2 2 1 Option 1 13
Z.5 points A dependent t-test study and an independent t-test study both produced a t statistic with df = 10. How many individuals participated in each study? 12 for dependent and 12 for independent 12 for the dependent and 11 for independent 11 for dependent and 11 for independent 11 for dependent and 12 for independent
Assume that you want to test the claim that the paired smaple data come from a population for which the mean difference is population mean d=0. Compute the value of the t test statistic. Round intermediate calculations to four decimal places as need and final answers to three decimal places as needed x 9 6 7 5 12 y 6 8 3 6 7
The following output is from a multiple regression analysis that was run on the variables FEARDTH (fear of death) IMPORTRE (importance of religion), AVOIDDTH (avoidance of death), LAS (meaning in life), and MATRLSM (materialistic attitudes). In the regression analysis, FEARDTH is the criterion variable (Y) and IMPORTRE,AVOIDDTH, LAS, and MATRLSM are the predictors (Xs). The SPSS output is provided below, followed by a number of questions. Descriptive Statistics Mean Std. Deviation N feardth 27.0798 8.08365 163 importre 5.8282 2.46104 163 avoiddth 18.5460 6.97633 163 Las 70.1288 9.89460 163 matrlsm 53.5552 10.21860 163 Model Variables Entered Variables Removed Method 1 matrlsm, avoiddth, importre, lasa . Enter a. All requested variables entered. b. Dependent Variable: feardth Model Summary Model R R Square Adjusted R Square…
T-TEST FOR INDEPENDENT MEANS 1. Two types of instruments for measuring the amount of sulfur monoxide in the atmosphere are being compared in an air pollution experiment. It is desired to determine whether the types of instruments yield measurement having the same variability. The following readings were recorded for the instrument. Sulfur Monoxide Instrument A Instrument B 0.86 0.87 0.82 0.74 0.75 0.63 0.61 0.55 0.89 0.76 0.64 0.70 0.81 0.69 0.68 0.57 0.65 0.53 Assuming the population of measurements to be approximately normally distributed, test the null hypothesis using two tailed test at 0.05 level of significance.
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A score S is used to predict whether a disease is present. If the score is greater than a threshold value, the corresponding person is classified as ill, otherwise as healthy. Here, the scores S; for 9 persons are given. Furthermore, it is known whether the persons are actually ill (Y, = 1) or not (Yi = 0). The data look as follows: S; | Y; 0.3 0 1.2 1 0.7 0.8 1 0.1 0.4 1 1.1 0 0.2 0 1.4 1 (a) Draw by hand the ROC curve for the given data. Explain your procedure and the calcu- lation methods. (b) Calculate the area under the curve (AUC) by hand. Does this value indicate a good or bad classification? (c) Calculate the partial area under the curve (PAUC) if the specificity is to be at least 0.65. How do you judge this value?
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28 No Y Xi For the data in the table, YI = 83.8-5.2Xi; Whether the model has been estimated, answer the 1 54 5 2 47 8 following relevant questions accordingly: var (B2) =? 3 41 9. 4. 35 9. 28 11 6. 17 12 4,72 0,66 O 1,12 O 3,54 O 2,18 О
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