| Calf # | age of dam ; years | Unadjusted weight, lbs. |
| 1 | 2 | 440 |
| 2 | 2 | 470 |
| 3 | 3 | 530 |
| 4 | 4 | 630 |
| 5 | 5 | 520 |
| 6 | 7 | 560 |
| 7 | 9 | 570 |
| 8 | 10 |
460 |
| Cow age years | adjustment, lbs |
| 2 | +60 |
| 3 | +40 |
| 4 | +20 |
| 5+ | 0 |
Calculate the standard deviation and heritability using the chart above using the weights that have been adjusted doe the age of the dam.
What effects did the adjustments for age of the dam have?
Calf # age of dam ; years Unadjusted weight, lbs. 1 2 440 2 2 470...
Next SIX questions are related to the following data: The following is a random sample of n = 90 undergraduate students' annual textbook expense. 610 600 300 420 520 470 430 520 400 370 730 480 450 500 650 370 540 330 690 550 450 450 750 750 660 700 300 770 760 390 680 450 590 630 530 700 580 390 330 320 350 490 310 320 780 590 370 470 760 550 630 450 640 620 520 440...
The following is a random sample of n = 90 undergraduate students' annual textbook expense. 610 600 300 420 520 470 430 520 400 370 730 480 450 500 650 370 540 330 690 550 450 450 750 750 660 700 300 770 760 390 680 450 590 630 530 700 580 390 330 320 350 490 310 320 780 590 370 470 760 550 630 450 640 620 520 440 720 660 440 770 380 450 800 720 370...
I just need help with questions 5 and 6
370 300 630 530 Next SIX questions are related to the following data: The following is a random sample of n = 90 undergraduate students' annual textbook expense. 610 600 300 420 520 470 430 520 400 370 730 480 450 500 650 540 330 690 550 450 450 750 750 660 700 770 760 390 680 590 700 580 390 330 320 350 490 310 320 780 370 760 630...
Let d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course). Use a significance level of α=0.05 for the test. Assume that the verbal SAT scores are normally distributed for the population of students both before and after taking the SAT prep course. Student 1 2 3 4 5 6 7 Score on first SAT 540 410 430 470 580 450 410 Score on second SAT 570 440 460 500 600 520 460 Step...
You will start by considering the data set in the proj2-2.txt file on BlackBoard. The data set contains SEX (1=female; 2=male), PEFR in l/min and height in cm. 1. Make a scatter plot of PEFR versus height. 2. Fit the simple linear regression of PEFR on height. 3. What is the estimated slope (with CI) and the interpretation of this estimate. 4. What is the standard deviation around the line (with CI) and the interpretation of this estimate. 5. Estimate...
Use the moving average method to forecast period 105.Use the exponential smoothing method to forecast period 105.Use the time-series decomposition method to forecast period 105.Comparing the three methods, which one fits this situation best?The larger the parameter (n) is set, the more historical data are taken into account by the moving average.You can choose different parameter (n) to extrapolate to compare the prediction effect.In general, the parameter (n) should not be taken too large.Moving average.153025703560453055106560761085609580106101165012700136701470015760167301776018820197802090021840227702382024800257602676027770287902976030740317203267033690344703567036690376203865039610406204164042590436104460045630466004763048640496105059051610526305366054640558105679057820586505971060700616706269063730647306576066790678106887069890708707189072880739307498075900768607789078880798708084081860829108387084860858408654087780887508978090760917109273093750947509571096750977209877099740100750101760102780103800104850105Exponential smoothingsame153025703560453055106560761085609580106101165012700136701470015760167301776018820197802090021840227702382024800257602676027770287902976030740317203267033690344703567036690376203865039610406204164042590436104460045630466004763048640496105059051610526305366054640558105679057820586505971060700616706269063730647306576066790678106887069890708707189072880739307498075900768607789078880798708084081860829108387084860858408654087780887508978090760917109273093750947509571096750977209877099740100750101760102780103800104850105Time-series decomposition153025703560453055106560761085609580106101165012700136701470015760167301776018820197802090021840227702382024800257602676027770287902976030740317203267033690344703567036690376203865039610406204164042590436104460045630466004763048640496105059051610526305366054640558105679057820586505971060700616706269063730647306576066790678106887069890708707189072880739307498075900768607789078880798708084081860829108387084860858408654087780887508978090760917109273093750947509571096750977209877099740100750101760102780103800104850105
please help with these questions thank you!
Height Weight BMI Age (years) HeightPercentile Weight Percentile Percentile cm 3.5 97 15.4 115 27 135 46 12 155 75 16 166 Questions to complete for the assignment: 1. What is your assessment of his growth pattern for the following items: a. weight/age b. height/age BMI percentile change over time c. If today's date is February 20, 2018 and his birth date is August 25, 2001, what is his age to date? Please...
Jhansy Garza's regular hourly wage rate is $15.00, and she receives a wage of 1½ times the regular hourly rate for work in excess of 40 hours. During a March weekly pay period, Jhansy worked 43 hours. Her gross earnings prior to the current week were $6,500. Jhansy is married and claims three withholding allowances. Her only voluntary deduction is for group hospitalization insurance at $40 per week. MARRIED Persons ― WEEKLY Payroll Period (For Wages Paid through December 2017)...
I need help please specific diet please !!!
Patient: female Age: 30 years old Height: 5'3" Weight 185 lbs Activity level: Sedentary Blood pressure: LDL cholesterol: 170 mg/d HDL cholesterol: 30mg/dl Fasting glucose: 200 mg/dl 160/95 Hint: The patient has been experiencing increased thirst and urination and tingling in both of her feet for the last four months 7. Using the patient's current diet, make dietary changes you feel are necessary for her condition. Explain why you have added certain...
1. Newborns and Infants: 0-1 year of age
2. Toddlers:1-3 years of age
3. Preschoolers: 3-6 years of age
4. School-Age Children: 6-12 years of age
5. Adolescents to Young Adults: 12-21 years of age
Partial Question 14 0.08 / 0.5 pts Match the developmental process with the age range a therapist could typically expect to observe such a characteristic. *You may use an answer more than once. Limited understanding of separation and an increasing awareness of cause and effect....