Question

In: Statistics and Probability

Suppose the following weights, in pounds, of 28 one-year-old Labradors are collected:

Suppose the following weights, in pounds, of 28 one-year-old Labradors are collected: 65.4 70.2 60.5 53.2 72.4 62.8 66.9 65.7 58.7 80.3 70.5 72.0 68.4 92.5 60.8 69.8 72. 7 68.5 78.9 82. 7 56.3 67.2 62.6 48.5 80.4 88.0 78.5 76.0

1. To the nearest thousandth, determine the mean of this sample, and to the nearest hundred-thousandth, determine the deviation

2. Determine and properly label the five-number summary of the data, and use it to find the IQR

3. Calculate the interval of values that would be considered to NOT be outliers, and then state the data values, if any, that ARE outliers.

4. Based on the sample mean and deviation, calculate the z-scores of the min, the max, and the two quartiles. Round to 2 decimal places

Solutions

Expert Solution

1)

X (X - X̄)²
65.4 18.12
70.2 0.29
60.5 83.85
53.2 270.84
72.4 7.52
62.8 47.02
66.9 7.60
65.7 15.66
58.7 120.06
80.3 113.27
70.5 0.71
72 5.49
68.4 1.58
92.5 521.80
60.8 78.45
69.8 0.02
72.7 9.26
68.5 1.34
78.9 85.43
82.7 170.12
56.3 178.4133
67.2 6.0376
62.6 49.8033
48.5 447.6247
80.4 115.4090
88 336.4604
78.5 78.1961
76 40.2318
X (X - X̄)²
total sum 1950.4 2810.609
n 28 28

mean =    ΣX/n =    1950.400   /   28   =   69.657
                      
sample variance =    Σ(X - X̄)²/(n-1)=   2810.6086   /   27   =   104.0966
                      
sample std dev =   √ [ Σ(X - X̄)²/(n-1)] =   √   104.0966   =      10.20277

2)

Median=0.5(n+1)th value =    14.5   th value of sorted data
=   69.150  
      
quartile , Q1 = 0.25(n+1)th value=   7.25   th value of sorted data
=   62.65  
      
Quartile , Q3 = 0.75(n+1)th value=   21.75   th value of sorted data
=   77.875  
maximum =    92.5
minimum=   48.5

so, five - number summary is (48.5 , 62.65 , 69.150, 77.875 ,92.5 )

IQR = Q3-Q1 =    15.225

3)

1.5IQR =    22.8375  
      
lower bound=Q1-1.5IQR=   39.8125  
      
upper bound=Q3+1.5IQR=   100.7125  

      
outlier =values outside lower bound and upper bound      
count below lower bound=   0  
count above upper bound=   0  
total outlier =    0  

there is no outliers.

4)

z score of min = (X-µ)/σ = (48.5-69.657)/10.20277 = -2.07

z score of max = (92.5-69.657)/10.20277 = 2.24

z score of Q1 = (62.65-69.657)/10.20277 = -0.69

z score of Q3 = (77.875-69.657)/10.20277 = 0.81


Related Solutions

1.Weights, in pounds, of ten-year-old girls are collected from a neighborhood. A sample of 26 is...
1.Weights, in pounds, of ten-year-old girls are collected from a neighborhood. A sample of 26 is given below. Assuming normality, use Excel to find the 98% confidence interval for the population mean weight μ. Round your answers to three decimal places and use increasing order.Weight 66.4 86.3 71.3 52.8 68.0 85.0 66.2 79.2 93.5 84.5 71.1 74.5 65.0 58.5 59.8 80.2 69.2 92.9 78.9 59.4 63.6 66.5 60.7 80.1 60.4 74.5 2. Julia wants to estimate the percentage of people...
Baby weight: Following are weights, in pounds, of 10 two-month-old baby girls. It is reasonable to...
Baby weight: Following are weights, in pounds, of 10 two-month-old baby girls. It is reasonable to assume that the population is approximately normal. 12.66 8.63 11.87 14.13 12.32 9.34 10.30 12.34 12.23 11.48 Construct a 90% interval for the mean weight of two-month-old baby girls. Round the answers to three decimal places. ____< u <_____
20 babies born in one week in a local hospital had the following weights (in pounds):...
20 babies born in one week in a local hospital had the following weights (in pounds): 9.6, 8.8, 5.1, 7.7, 6.1, 8.9, 8, 9.2, 5.7, 9.1, 8.5, 7.3, 9.3, 9.6, 5.2, 9.9, 7.6, 9, 7.2, 8.5 (a) Create a QQ plot and histogram of the weights. Do you think it is reasonable to assume that the population distribution is normal? Explain your answer. (b) Regardless of your answer to (a), use R to perform the bootstrap with 3000 resamplings to...
1.Weights of Old English Sheepdogs are normally distributed with a mean of 63 pounds and a...
1.Weights of Old English Sheepdogs are normally distributed with a mean of 63 pounds and a standard deviation of 3 pounds. Using the Empirical Rule, what is the approximate percentage of sheepdogs weighing between 60 and 66 pounds? 2.Pro golf scores are bell-shaped with a mean of 70 strokes and a standard deviation of 4 strokes. Using the empirical rule, in what interval about the mean would you expect to find 99.7% of the scores? 3. Running times in a...
Questions 15 and 16 refer to the following: The following are the weights (in pounds) of...
Questions 15 and 16 refer to the following: The following are the weights (in pounds) of 54 university males: 137 140 142 143 148 149 149 150 150 152 152 154 156 157 157 157 158 158 158 159 159 160 161 162 162 162 162 164 165 165 165 165 165 166 166 166 167 167 167 168 168 170 172 172 173 174 174 175 177 180 181 183 184 193 Question 15 (1 point) Saved If we...
Following are the published weights (in pounds) of all of the team members
115. Following are the published weights (in pounds) of all of the team members of the Sa Francisco 49ers from a previous year 177: 205: 210: 210: 232: 205: 185: 185 178 210: 206 212: 184 174: 185: 242: 188; 212: 215 247:241: 223: 220: 260: 245 259 278: 270 280: 295: 275: 285: 290: 272: 273: 280: 285: 286 200: 215: 185: 230: 250: 241: 190: 260: 250: 302: 265: 290: 276: 228: 265 a. Organize the data from smallest to...
The probability that a 28-year-old male in the U.S. will die within one year is approximately...
The probability that a 28-year-old male in the U.S. will die within one year is approximately 0.001395. If an insurance company sells a one-year, $10,000 life insurance policy to such a person for $255, what is the company's expectation? (Round your answer to the nearest dollar.)
The probability that a 28-year-old male in the U.S. will die within one year is approximately...
The probability that a 28-year-old male in the U.S. will die within one year is approximately 0.001395. If an insurance company sells a one-year, $30,000 life insurance policy to such a person for $195, what is the company's expectation? (Round your answer to the nearest dollar.).   
Baby weights: Following are weights in pounds for random samples of 19 newborn baby boys and...
Baby weights: Following are weights in pounds for random samples of 19 newborn baby boys and baby girls born in Denver in 2011 . Boxplots indicate that the samples come from populations that are approximately normal. Let μ1 denote the mean weight of boys and μ2 denote the mean weight of girls. Can you conclude that the mean weights differ between boys and girls? Use the =α0.10 level and the P -value method with the table. Boys 7.6 6.4 8.1...
Assume that the mean weight of yearling Angus steer is 1152 pounds. Suppose that the weights...
Assume that the mean weight of yearling Angus steer is 1152 pounds. Suppose that the weights of all such animals can be described by the Normal distribution with a standard deviation of 84 pounds. a. What percentage of yearling Angus steer would be between 1068 pounds and 1236 pounds?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT