Forecasting Q5 / Measures of Error Period 1 2345 4 5 6 7 8 9 Actual 26 7 12 20 27 14 10 27 27 Forecast 12 23 4 19 22 8 28 10 26.
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- Variables Mean SD Honesty Profanity self report Profanity used Honesty 7.63 3.00 (0.79) Profanity self report 6.51 2.56 0.34*** (0.84) Profanity used 4.09 2.61 0.20** 0.46*** (-) Profanity liked 1.60 1.62 0.13** 0.41*** 0.45*** * p < .05. ** p < .01 *** p < .001. Based on the results of this table, is there evidence to reject the null hypothesis that there is no correlation between using profanity, as assessed by any of the three profanity measures, and honesty? a. Yes, because all 3 correlations between honesty and the measures of profanity have asteriks that…Please submit the answer via a PDF document or Word document. **Dependent t-test** Use the following data and scenario to answer the questions. A dog trainer is interested in whether the type of environment (park or training facility) will influence how quickly dogs learn a new skill. The dog trainer obtained 40 dogs to participate in the training program. First the 40 dogs learned a new skill at the park and the dog trainer recorded how many hours it took for each dog to learn the new skill. Then the 40 dogs learned a new skill at the training facility and the dog trainer recorded how many hours it took for each dog to learn the new skill. Can we conclude that the type of environment significantly influences how quickly dogs learn a new skill? Alternative Hypothesis: The type of environment significantly influences how quickly dogs learn a new skill. Null Hypothesis: The type of environment will not significantly influence how quickly dogs learn a new skill. Use the following data…None
- Hi can you please help me with this problem and the parts that come along with it because I just don't know how to approach the problem, Can you please do this step by step and can you label the parts so it can be easier to understand. Can you please do this step by step and can you label the parts as well.MSC 600 Quantitative Methods 7. Part of an ANOVA table is shown below. Source of Variation Between Treatments Within Treatments (Error) TOTAL 480 18 The mean square due to treatments (MSTR) is a. 20. b. 60. c. 18. d. 15. ANSWER: b 1105 words 8. Part of an ANOVA table is shown below. Source of +Sum of Variation "Squares Between Treatments 180 Within Treatments (Error) TOTAL Sum of Degrees of SquaresFreedom 3 480 c. 18. d. 20. ANSWER: d 180 The mean square due to error (MSE) is a. 60. b. 15. N Text Predictions: On Degrees of Freedom 3 18 Mean Square Mean Square Focus F 80 F um O Search COLLEGE OF BUSINESSStudies are often done by pharmaceutical companies determine the effect of this of a treatment program supposed that a new aids antibiotic drug is currently under study it is given. To patients once the aids symptoms have revealed themselves of interest. Is the average incorporation mean length of time in month patient? Lay. Off? Once starting the treatment 2 researchers each followed a different set of 40 aids patient from the start of the treatment under their death to follow data and months are collected. Researcher A 3, 4, 11, 15, 16, 17, 22, 44, 37, 16, 14, 24, 25, 15, 26, 27, 33, 29, 35, 44, 13, 21, 22, 10, 12, 8, 40, 32, 26, 27, 31, 34, 29, 17, 8, 24, 18, 47, 33, 34 Researcher b 3, 14, 11, 5, 16, 17, 28, 41, 31, 18, 14, 14, 26, 25, 21, 22, 31, 2, 35, 44, 23, 21, 21, 16, 12, 18, 41, 22, 16, 25, 33, 34, 29, 13, 18, 24, 23, 42, 33, 29
- Frequency Score 4 46-50 8 41-45 36-40 11 31-35 9 26-30 12 21-25 6 16. The upper quartile score is also the A. 90th percentile B. 75th percentile C. 50th percentile 17. In solving for the 25th percentile, the lower boundary is A. 20.5 percentile D. 35.5 B. 25.5 C.30.5 18. What cumulative frequency should be used in solving for the 66th percentile? A. 38 B. 40 C. 46 D. 50 19. The 35th percentile is A. 30.29 B. 44.88 C. 50.3 D. 60.6 20. The 90th percentile is A. 41.3 B. 42.6 C. 43.9 D. 44.88 B. PERFORMANCE TASK Direction: The table shows the frequency distribution of the monthly income of Grade 10 parents. Find Q1, ( Q3 and the interquartile range. Monthly income of 60 Grade 10 Parents Monthly Income (Php) FREQUENCY 6 22,001-24,000 20,001-22,000 14 18,001-20,000 12 16,001- 18,000 6 14,001-16,000 8 12,001- 14,000 5 10,001- 12000 9 I= N= Q1: Q2:Plzzz explain all partsHow to do it please show step by step a,b,c,d, and ePlease do not give solution in image formate thanku.Source Value Std Err P value Intercept 26272.327 674.907 38.927 <0.0001 BA 35451.244 580.632 61.056 <0.0001 Female -17064.762 495.537 -34.437 <0.0001 FemalexBA -10509.614 824.520 -12.746 <0.0001 Age 533.753 14.074 37.925 <0.0001 Hours -1.698 0.878 -1.934 0.061 In an attempt to evaluate the difference in the impact of a degree on income by gender a researcher filters their data down to just individuals with a High School Diploma or a Bachelors Degree and gets the results shown above. a. How much does a Bachelors Degree increase the income for a woman? b. How much is the difference in the impact of a Bachelors Degree for women compared with men? c. What would the income be for a 52 year old male with a Bachelors Degree, who works an average of 50 hours a week?Answer clearlySEE MORE QUESTIONS