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from the information given.

The researcher found that the progeny of oyster mushroom does follow the ratio of 3 grey : 1 white. This is a valid conclusion based on the information given.

A researcher conducted a Chi-square test to determine whether the progeny of oyster mushroom follows the ratio of 3 grey : 1 white. From his calculation, he found his calculated Chi-square is smaller than the critical Chi-square value from the table. Choose the correct conclusion

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A researcher calculates the coefficient of determination R2 = 0.41.

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The researcher found that R2 = 0.41 is the best statement following the finding.

A researcher calculates the coefficient of determination R2 = 0.41. Which is the best statement following the finding?

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A researcher found that his calculated statistic value is smaller than the test’s table value. He then rejected his Ho. He used a t-test.

A researcher found that his calculated statistic value is smaller than the test’s table value. He then rejected his Ho. Identify the test that he used.

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The Chi-square test is not sensitive to outliers.

The Chi-square test is sensitive to outliers.

Which of the following statement is FALSE about the Chi-square test?

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A figure that accompanies this article will show a graph with a linear regression line and corresponding correlation coefficient (r) as well as the original function.

Given log Y = log a + b log X with R2= 0.92, determine Pearson correlation coefficient and the probable original function.

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in the Allegheny Mountains.

This image depicts a mathematician calculating the statistics of a sample. In the bottom right corner, the statistic is displayed, revealing that the total number of individuals of Devario regina are not equal among the six streams.

Choose the best statistical test to determine if the total number of individuals of Devario regina are equal among six streams

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Mann Whitney U test can also be used as an alternative to the following tests EXCEPT

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What is the difference between Simple Linear Regression (SLR) and General Linear Model (GLM)?

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The correlation between agarwood formation size and the injection volume of fungal spores was statistically significant (P < 0.05). The regressed equation is y = 10.2 – 2.3x and the coefficient of determination (R2) is 0.76. What is the correlation coefficient (r) value for this relationship?

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A group of rats were randomly assigned to each of the 4 diets labeled (A, B, C, and D). The response is liver weight as a percentage of body weight. Two rats escaped and another died, resulting in the following data. The statistical test to determine if the liver weight percentages are different among the diets is a student's t-test. The data suggest that the liver weight percentages are not different among the diets.

A group of 32 rats were randomly assigned to each of the 4 diets labeled (A, B, C, and D). The response is liver weight as a percentage of body weight. Two rats escaped and another died, resulting in the following data. Choose the best statistical test to determine if the liver weight percentages are different among the diets.

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The Pearson correlation coefficient computed for two parameters measured in 429 patients is highly significant (r = 0.829). This means that the two parameters are highly correlated.

The Pearson correlation coefficient computed for two parameters measured in 429 patients is r = 0.829. This means that:

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?

A non-parametric test is equivalent to a post-hoc test.

What non-parametric test is equivalent to Post-hoc tests

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The researcher's calculated statistic value is larger than the critical tabulated value. This reveals that there is a preference for lecturers among students.

A researcher found that his calculated statistic value is larger than the critical tabulated value. His research is to determine the preference of students for lecturers by the frequency of student attendance. Given, Ho: There is no preference for lecturers among students Ha: There is a preference for lecturers among students. Choose the correct conclusion by the researcher.

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Lake A: 0.26
Lake B: 0.27
Lake C: 0.25
Lake D: 0.21
Lake E: 0.10

The main effect is significant, with Lake A having the lowest value and Lake E having the highest value. The associated pair is significant as well, with Lake D having the lowest value and Lake A having the highest value.

Dissolved oxygen (mg/L) of the surface area from five lakes were measured for 5 days with n = 20, which tests are suitable to be used to determine the significance of the main effect and the associated pairs? Assume data are not normally distributed and heteroscedastic.

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A researcher wanted to know whether exercise could alleviate depression. He chose 20 random participants diagnosed with depression of the same age and divided them into two groups. One group was given an exercise activity for a week and the other group was treated as a control with no exercise. Choose a non-parametric test for this experiment.

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A student found that his correlation analysis is insignificant (P < α) but his scatter plot showed a certain trend. The cause of this situation is likely that the data is not correctly sampled.

A student found that his correlation analysis is insignificant (P < α) but his scatter plot showed a certain trend. What is the cause of this situation?

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The image accompanying this article will show a scatter plot with a correlation between sampling code and pH. The correlation is statistically significant, which means that the relationship between pH and sampling code is consistent and meaningful. Additionally, the regression equation shows that there is a 0.6% variance in water parameters that is predictable from seasonal changes (sampling code). This indicates that there is a moderately strong relationship between water parameters and samp

A bivariate linear regression was conducted to examine if the parameters were affected by seasonal changes and if so how well seasonal changes (sampling code) could predict the changes water parameters (pH and alkalinity). For test conducted between pH and sampling codes: The scatter plot showed the relationship is positive and hence directly proportional (both values increase correspondingly) and there were no bivariate outliers. The correlation between sampling code and ph was statistically significant (0.75). The regression equation = 8.051 - 0.050. R square for equation is 0.006 which 0.6% of the variance in water parameters were predictable from seasonal changes (sampling code). This is a moderately weak relationship although not negative.For test conducted between alkalinity and sampling codes: The scatter plot also showed the relationship is positive and hence directly proportional (both values increase correspondingly) and there were no bivariate outliers.What is the discussion

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The image accompanying this article will show a table displaying the test statistics for pH and alkalinity from two streams - Sungai Enam and Sungai Telang. The table shows that there is a significant difference in both pH and alkalinity between the two streams, as evidenced by the significance values of 0.085 and 0.026, respectively.

LTS: Under the test statistics table, it can be seen that the significance value for pH is 0.085 and for alkalinity is 0.026. Both of the obtained significance values are lower than the significance level of 0.5. Hence, it can be interpreted that there is a significant difference in water parameter (pH and alkalinity) as perceived by the two streams; Sungai Enam and Sungai Telang.According to Cohen (1988) criteria, when r=0.1, Small Effect. This means although there is a significant difference, the difference is relatively small between the water parameters (pH and alkalinity) of Sungai Enam and Sungai Telang.

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