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- Why is an expanded concept of "variation" necessary in statistical improvement?The contribution of application of statistical techniques?Directions a. identify the independent variable/s b. name the dependent variable; c. Give the two attributes of each the variables Note: The first number is answered for your preference. A study on the effect of the gender on the academic performance of students a. gender b. academic performance of students c. gender-male, female; academic performance of students- high performing, low performing 4. A study on whether the choice of foot wear differs between genders NOTE: Kung marami ang possible attributes, you can just put atleast 2 for each variable.
- REPOSTING QUESTION FOR PART 2 Consider the following table: SS DF MS Test Statistic Among Treatments 1664.4 Error ? 11 370.45 Total 16 Step 4 of 8: Calculate the value of the test statistic. Please round your answer to two decimal places. Step 5 of 8: What is the sum of squares of sample means about the grand mean? Please round your answer to two decimal places. Step 6 of 8: What is the variation of the individual measurements about their respective means? Please round your answer to two decimal places. Step 7 of 8: What is the critical value at the 0.05 level? Please round your answer to four decimal places, if necessary. Step 8 of 8: Is the test statistic significant at 0.05?Describe the contribution of application of statistical techniques ?#8 A cracker manufacturer wants to know how a new cracker she wants to make compares to the competition, so she has people in a sample of supermarkets across the country ask people to compare three crackers: one of her crackers and two competing crackers. This is an example of what kind of statistical study? Experiment Survey Observational Study
- Which best describes the null hypothesis associated with an Analysis of Variance (ANOVA)? Group of answer choices a. Ho: Variance 1 = Variance 2 = Variance 3 b. Ho: Standard Deviation 1 = Standard Deviation 2 = Standard Deviation 3 c. Ho: Proportion 1 = Proportion 2 = Proportion 3 d. Ho: Median 1 = Median 2 = Median 3 e. Ho: Mean 1 = Mean 2 = Mean 3The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best-predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1012 872 895 1078 1235 1172 Temperature (°F) 81.9 76.3 78.4 84 87.2 88.4 What is the regression equation? y= +. x What is the best-predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best-predicted temperature when a bug is chirping at 3000 chirps per minute is ? What is wrong with this predicted value? Choose the correct answer below. A. It is unrealistically high. The value 3000 is far outside of the range of observed values. B. The first variable should have been the dependent variable. C. It is only an…The purpose of this study was to investigate the contribution of training and employee engagement on employeeperformance using evidence from Uganda’s health sector. This study is cross sectional and correlational. Usablequestionnaires were received from 150 respondents from four Catholic founded hospitals that is Kamuli Mission Hospital, Buluba Mission Hospital, St. Benedict Mission Hospital and Budini Mission Hospital. Data were analyzed using SPSS.Regression analysis results indicate that training and employee engagement significantly predict employee performance by 44.7% and employee engagement was found to be a major predictor of employee performance as compared to training.Correlation analysis results indicate that there is a significant positive relationship between training and employeeperformance.Correlation analysis results further indicate that there is a significant positive relationship between employee engagement and employee performance. A partial mediation effect of…
- The purpose of this study was to investigate the contribution of training and employee engagement on employeeperformance using evidence from Uganda’s health sector. This study is cross sectional and correlational. Usablequestionnaires were received from 150 respondents from four Catholic founded hospitals that is Kamuli Mission Hospital, Buluba Mission Hospital, St. Benedict Mission Hospital and Budini Mission Hospital. Data were analyzed using SPSS.Regression analysis results indicate that training and employee engagement significantly predict employee performance by 44.7% and employee engagement was found to be a major predictor of employee performance as compared to training.Correlation analysis results indicate that there is a significant positive relationship between training and employeeperformance.Correlation analysis results further indicate that there is a significant positive relationship between employee engagement and employee performance. A partial mediation effect of…In managing the risks associated with statistically based research decisions, which is NOT likely something the researcher can select? Group of answer choices 1. alpha 2. beta 3. delta 4, sample size 5. sigmaWhat is Multiple regression analysis?