You are conducting a test of independence for the claim that there is an association between the row variable and the column variable.
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Q: You are conducting a test of independence for the claim that there is an association between the row…
A:
Q: You are conducting a test of independence for the claim that there is an association between the row…
A:
Q: You are conducting a test of independence for the claim that there is an association between the row…
A: State the hypotheses. Null hypothesis: Alternative hypothesis:
- The observed observations are as follows
X | Y | Z | |
A | 29 | 20 | 57 |
B | 31 | 28 | 16 |
Let's find the row and column total.
X | Y | Z | Total | |
A | 29 | 20 | 57 | 106 |
B | 31 | 28 | 16 | 75 |
Total | 60 | 48 | 73 | 181 |
- Let's find the expected observations.
The formula for expected observation is
For example:
For the A row and X column, the observed observation is 29.
The expected observation would be :
In the same way, the expected value for each cell is as follows.
X | Y | Z | Total | |
A | 35.138 | 28.110 | 42.751 | 106 |
B | 24.862 | 19.890 | 30.249 | 75 |
Total | 60 | 48 | 73 | 181 |
Hence the expected observation for this table would be:
X | Y | Z | |
A | 35.138 | 28.110 | 42.751 |
B | 24.862 | 19.890 | 30.249 |
- The formula for Pearson residual will be as follows.
For example:
For the A row and X column, the observed observation is 29.
The expected observation is 35.138
Then the Pearson residual for A row and X column would be :
In the same way, the Pearson residual for each cell is as follows.
X | Y | Z | |
A | -1.035 | -1.530 | 2.179 |
B | 1.231 | 1.818 | -2.591 |
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- You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y Z A 46 23 53 B 46 26 40 The expected observations for this table would be X Y Z A B The resulting Pearson residuals are: X Y Z A B What is the chi-square test-statistic for this data?χ2=χ2= Report all answers accurate to three decimal places. CalculatorYou are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y Z A 12 26 42 B 27 31 12 The expected observations for this table would be X Y Z A B The resulting Pearson residuals are: X Y Z A B What is the chi-square test-statistic for this data?χ2=χ2= Report all answers accurate to three decimal places.You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y Z A 42 49 30 B 27 39 21 The expected observations for this table would be X Y Z A B The resulting Pearson residuals are: X Y Z A B What is the chi-square test-statistic for this data?χ2=Report all answers accurate to three decimal places.
- You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y Z A 28 8 47 B 22 12 42 The expected observations for this table would be X Y Z A Correct Correct Correct B Correct Correct Correct The resulting Pearson residuals are: X Y Z A B What is the chi-square test-statistic for this data?χ2=χ2= CorrectYou are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y Z A 42 35 19 B 32 33 10 The expected observations for this table would be X Y Z A B What is the chi-square test-statistic for this data? (2 decimals)χ2=You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y Z A 28 8 47 B 22 12 42 The expected observations for this table would be X Y Z A Correct Correct Correct B Correct Correct Correct The resulting Pearson residuals are: X Y Z A B
- Please help me understand this. A sample of n=38n=38 data values randomly collected from a normally distributed population has variance s2=20.1s2=20.1. We wish to test the null hypothesis H0:σ2=11.9H0:σ2=11.9 against the alternative hypothesis H1:σ2≠11.9H1:σ2≠11.9 at a significance of α=0.01α=0.01. What is the value of the test statistic? Write your answer rounded to 3 decimal places. What are the critical values? Write your answers rounded to 3 decimal places.Lower CV: Upper CV: Do we reject the null hypothesis? We reject the null hypothesis. We fail to reject the null hypothesis.Which combination would lead you to Fail to Reject H0? Correlation: robt = 0.68 rcrit = 0.64 ANOVA: Fobt = 3.61 Fcrit = 2.55 Chi-Square GOF: χ2obt = 3.24 χ2crit = 4.25 2-tailed t-test: tobt = 2.36 tcrit = 1.89Which of the following is not an assumption for the use of the Pearson-Product Moment Coefficient of Correlation?A. The level of measurement of data is at least interval for both variables.B. The population from which the data are obtained is approximately normal.C. The data from both variables are pairs of observation measured from each of the items or individuals in the sample.D. The variances of the observations from both variables are homogeneous.
- The random sample of 7 pairs of observations from normal population gives the following information:- x 8 1 3 6 12 7 10 y 13 30 23 35 24 18 15 [ r = -0.459 and take the significance level (alpha) = 0.02] The P - Value of the test statistic ( along with decision ) used for testing that the two variables are not linearly related ( H(null) : roll = 0) is: 0.3002, Fail to Reject Null Hypothesis 0.0000, Reject Null Hypothesis 0.1910, Fail to Reject Null Hypothesis 0.0002, Reject Null HypothesisA lab technician is tested for her consistency by taking multiple measurements of cholesterol levels from the same blood sample. The target accuracy is a variance in measurements of 1.2 or less. If the lab technician takes 16 measurements and the variance of the measurements in the sample is 2.2, does this provide enough evidence to reject the claim that the lab technician’s accuracy is within the target accuracy? Compute the value of the appropriate test statistic. A..png”> = 30.58 B.t = 27.50 C..png”>= 27.50 D.z = 1.65The test statistic z=1.42 is obtained when testing the claim that p>4 a) find the p value B) using a significance level that alpha =0.01, should we reject the null hypothesis or fail to reject the null hypothesis