Compute most appropriate measure of centeral tendency and dipe
Q: What are the criteria and steps needed to take to asses the degree in which an independent variable…
A: The degree in which an independent variable causes changes observed in the dependent variable is the…
Q: In a company, the produced products are classified in four categories such as 1* quality, 2nd…
A: Given that the first class is: greater than μ+σSecond class is: between μ and μ+σThird class is:…
Q: The following table represents the major and computer skills levels of employees in a manufacturing…
A: Solution: 1. The given table of data is
Q: A research institute examined the IQs (intelligence quotients) in American adults and reported a…
A: Solution: Given information: n=18 Sample sizeμ=100 Population mean σ=15 Population standard…
Q: Define product moment coefficient of correlation?
A: The relationship between the two numerical or quantitative variables is explained by the correlation…
Q: The least-squares regression line for a set of (Age, Skill_Score) data is yn = 5.0x + 0.7. The data…
A: Here, it is given that the least-squares regression line for a set of (Age, Skill_Score) data is yn…
Q: A car manufacturer wishes to assess the mileage of one of their car models. The research team…
A: Let X denotes the mileage of car Xi 6.2 5.9 5.9 6 6.5 6.2 6.3 6.5 6.2 5.9 5.8…
Q: Left ventricular mass (LVM) is an important risk factor for subsequent cardiovascular disease. A…
A: Question: 9.68 Critical region at the 5% level: By referring to the t-distribution table, the…
Q: Left ventricular mass (LVM) is an important risk factor for subsequent cardiovascular disease. A…
A: We will be performing Paired sample t-test for hypothesis testing. Following are steps involved:
Q: Suppose you have performed addressing and segmentation and have the following vector of foreground…
A: Given information: The data for the foreground intensities are given.
Q: Write a clear conclusion regarding the association between height in inches and weight in pounds,…
A: Solution: Test for significance of variable height To test the hypothesis Ho:β1=0 VS Ha:β1≠0…
Q: What is the dependent independent variable in an Knee jerk reflex test ?
A: Reflex means (to prevent overstretching of muscles) It compensates with concentration Dependent…
Q: Left ventricular mass (LVM) is an important risk factor for subsequent cardiovascular disease. A…
A: Since your question has multiple parts, we will solve first question for you. If you want remaining…
Q: Left ventricular mass (LVM) is an important risk factor for subsequent cardiovascular disease. A…
A: D (D-dbar)^2 24 26.01 -8 723.61 56 1376.41 -2 436.81 33 198.81 18 0.81 65 2125.21 9…
Q: Left ventricular mass (LVM) is an important risk factor for subsequent cardiovascular disease. A…
A: Data is: Baseline LVM(g) 4-year LVM(g) Change(g) 139 163 24 134 126 -8…
Q: Left ventricular mass (LVM) is an important risk factor for subsequent cardiovascular disease. A…
A: Note: Hi there! Thank you for posting the question. As your question has more than 3 parts, we have…
Q: Describe the difference between a residual and a standardized residual. Which of these two residuals…
A: Difference between residual and standardized residual is shown below
Q: What does normalization mean in Bayes' Theorem?
A:
Q: interpret this 2 way anova of neuron density in detail
A: A two-way analysis of variance (ANOVA) was conducted to investigate the effect of two categorical…
Q: 1: Suppose the investigators are reluctant to assume that the change in LVM over four years is…
A: The data of LVM are taken twice (base line and after 4 years) for 10 students. So, the data is…
Q: Suppose the investigators are reluctant to assume that the change in LVM over four years is normally…
A: Solution: Given: The data consists of 10 random children from the Bogalusa Heart Study at baseline…
Q: 17.34 (EX) Oligofructose and calcium absorption 1/6: Nondigestible oligosaccharides are known to…
A: Given that: Subject Control Oligofructose 1 78.4 62 2 76.6 95.1 3 57.4 46.5 4 51.5 49.4…
Q: Explain kurtosis of the distribution?
A:
Q: To help assess the health risks of second-hand smoke, the levels of cotinine (a metabolite of…
A: If the second-hand smoke seems to be effective, then taking the difference of before and after…
Q: Explain The J-statistic under homoskedasticity?
A: In the regression model, Homoskedasticity refers to a condition where the residual variance or the…
Q: Total cholesterol levels for middle aged men (aged 55 - 64) follow approximately a normal…
A: We have to find z score. Formula : z-score =x -μσ
Q: Suppose the investigators are reluctant to assume that the change in LVM over four years is normally…
A: 1. Since, we don't assume that population is normally distributed we use non parametric tests. In…
Q: a residual is the distance between the data value in the line of best fit true or false?
A: a residual is the distance between the data value in the line of best fit -True
Q: You are interested in the relationship between the income of recent college graduates and the income…
A: Graduate income is the outcome variable.The parent's income is a predictor.
Q: Spearman ho is used when relationship between variables is being determined, assuming data is…
A: Here spearman correlation is used as non parametric test
Q: Tire pressure (psi) and mileage (mpg) were recorded for a random sample of seven cars of the same…
A: The independent variable is tire pressure (x) and the dependent variable is mileage (y).
Q: An excess of high values for the cases distributed on a graph results in a positive skew in the…
A: Skewness : It is a measure of the symmetry of a distribution. The highest point of a distribution…
Compute most appropriate measure of centeral tendency and dipersion to report the variable "albumin level"?
![1 Patient ID
2 A0001
3 A0002
4 A0003
5 A0004
6 A0005
7 A0006
8 A0007
9 A0008
10 A0009
11 A0010
12 A0011
13 A0012
14 A0013
15 A0014
16 A0015
17 A0016
18 A0017
19 A0018
20 A0019
21 A0020
22 A0021
23 A0022
24 A0023
25 A0024
26 A0025
27 A0026
28 A0027
29 A0028
30 A0029
31 A0030
32
33
Smoking status Age Albumin(g/dl)
YES
NO
NO
YES
NO
YES
NO
YES
NO
YES
NO
YES
YES
NO
YES
INO
NO
YES
NO
YES
NO
YES
NO
YES
NO
YES
NO
YES
INO
YES
32
28
36
38
29
35
39
40
38
32
36
2888EEEE8
35
29
26
45
40
39
36
30
2
28
45
40
39
36
28
30
28
36
38
Gender BMI
3.5 Male
4 female
4.2 female
4.8 female
3.8 Male
4.3 Male
4 Male
4.5 female
3.5 female
2.8 Male
5 Male
3.4 female
3 Male
2.8 female
4 Male
2.5 female
3 Male
2.8 Male
3 female
4.5 Male
5 female
2.6 female
4.5 Male
2.5 female
2.8 female
4 Male
2.8 female
3 female
4 female
2.2 Male
Exercise Systolic BP (mmHg)
24.7 No
29.6 No
25.9 yes
20.3 No
22.5 Yes
22.5 yes
24.8 No
23.5 Yes
25.5 No
21.5 No
20.4 Yes
23.5 No
20.5 No
25.5 Yes
28.6 No
29.9 No
30 yes
30.3 No
28.9 Yes
23.8 yes
24.6 No
38.5 No
26.7 yes
22.8 yes
30.5 No
26.8 yes
25.6 No
27.8 Yes
24.6 yes
38.5 No
120
128
126
110
136
118
120
116
128
126
120
118
110
110
138
140
139
140
140
118
120
138
120
116
126
110
116
129
120
138](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F224afd9b-69df-4eb9-ae47-dac684755832%2Fe57b4641-3a4d-46fb-bcc0-acaac89f9ad3%2Fw2rw1ch_processed.png&w=3840&q=75)
![](/static/compass_v2/shared-icons/check-mark.png)
Step by step
Solved in 4 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
- c. Construct the 95% confidence interval for expected price for a 2,500-square-foot, colonial-style home with three bedrooms and two bathrooms. Note: Round final answers to the nearest whole number. Confidence Interval to d. Construct the 95% prediction interval for price for a 2,500-square-foot, colonial-style home with three bedrooms and two bathrooms. Note: Round final answers to the nearest whole number. Prediction Interval toRestaurant X Restaurant Y89 101121 125116 153143 117270 171183 134122 114151 122158 127210 129335 137305 140181 227116 216161 291152 12595 95238 136243 242189 146155 148196 201168 149123 14262 141198 143182 154117 139139 169169 138185 244198 234236 248192 237352 234304 165213 85192 110183 58184 172107 79143 147175 138157 99173 131155 150170 127127 185136 145306 132 Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner; then do the same for Restaurant Y. Compare the results. Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X.Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…
- Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…128 patients with advanced lung cancer were followed until death. The four "cell" types of lung cancer of the patients were adeno, large, small, and squamous. Time to death (days) is displayed on the following boxplots. Lung Cancer Time to Death Data (128 Patients) time to death (days) 1000- 900- 800- 600- 500- 400- 300- 200- 100- 0- Nebs Mean Sid 42365 Adeno 1654 12644 45 #267 KLOT Soull Cell Type of Cancer 21 21134 2014 Squamous For the small cell lung cancer patients, which is larger, the mean or the median-or can it not be determined? The mean is larger The median is larger O We cannot determine which is larger based on the graph
- The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)What is the answer?I need help finding the age p value
- Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide variety of team and player statistics. Some of the statistics often used to evaluate pitching performance are as follows: • ERA: The average number of earned runs given up by the pitcher per nine innings. An earned run is any run that the opponent scores off a particular pitcher except for runs scored as a result of errors. • SO/IP: The average number of strikeouts per inning pitched. • HR/IP: The average number of home runs per inning pitched. • R/IP: The number of runs given up per inning pitched. The following data show values for these statistics for a random sample of 20 pitchers from the American League for one full season. Player Тeam W ERA SO/IP HR/IP R/IP Verlander, J DET 24 2.40 1.00 0.09 0.29 Beckett, J BOS 13 7 2.88 0.92 0.12 0.35 Wilson, C TEX 16 7 2.93 0.93 0.08 0.40 Sabathia, C ΝY 19 8. 3.01 0.97 0.06 0.36 Haren, D LAA 16 10 3.16 0.80 0.08 0.37…Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide variety of team and player statistics. Some of the statistics often used to evaluate pitching performance are as follows: ERA: The average number of earned runs given up by the pitcher per nine innings. An earned run is any run that the opponent scores off a particular pitcher except for runs scored as a result of errors. So/IP: The average number of strikeouts per inning pitched. • HR/IP: The average number of home runs per inning pitched. • R/IP: The number of runs given up per inning pitched. The following data show values for these statistics for a random sample of 20 pitchers from the American League for a season. Player Team ERA SO/IP HR/IP R/IP Verlander, J DET 24 2.39 1.01 0.10 0.30 Beckett, J BOS 13 7 2.90 0.91 0.10 0.34 Wilson, C TEX 16 7 2.95 0.92 0.06 0.39 Sabathia, C NYY 19 8 3.00 0.98 0.08 0.37 Haren, D LAA 16 10 3.18 0.82 0.07 0.38 McCarthy, B OAK 9…Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide variety of team and player statistics. Some of the statistics often used to evaluate pitching performance are as follows: ERA: The average number of earned runs given up by the pitcher per nine innings. An earned run is any run that the opponent scores off a particular pitcher except for runs scored as a result of errors. SO/IP: The average number of strikeouts per inning pitched. HR/IP: The average number of home runs per inning pitched. R/IP: The number of runs given up per inning pitched. The following data show values for these statistics for a random sample of 20 pitchers from the American League for a season. (chart attached in image) a. What are the values of and (to 3 decimals), if the average number of runs is the dependent variable and the average number of strikeouts per inning pitched and the average number of home runs per inning pitched…