A sample of air quality data for Pomona county provided the following data measuring the parts...
A sample of air quality data for Pomona county provided the following data measuring the parts of Carbon dioxide per liter of air: 28, 42, 58, 48, 42, 58, 60, 49, and 50.
a) Use the index method and calculate Q1, Q3 for the data.
b) Find the IQR for the data.
c) Using the outlier formula we used in class calculate the Upper and Lower control limits for this data set and list which pieces of data, if any, are outliers.
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A sample of air quality data for Pomona county provided the
following data measuring the parts...
A quantitative variable has the following statistics: Min = 0 Q1 = 20 M ed =...
A quantitative variable has the following statistics: Min = 0 Q1 = 20 M ed = 25 Q3 = 34 M ax = 70 Which of the following values below would be considered an outlier? 0 8 18 48 58 Part 2: Consider the data set: 24 32 33 37 49 35 31 (a) Calculate the mean, median and IQR (b) Check for outliers using the 1:5(IQR) rule, and indicate which data points are outliers. (c) Remove any outliers and...
4. Given the data set 27, 29, 51, 54, 45, 48, 60, 52, 51, 49, 52,...
4. Given the data set 27, 29, 51, 54, 45, 48, 60, 52, 51, 49, 52, 48, 43, 46, 45, 42, 50, 56, 45 Are there any values that would be considered outliers? Using the IQR, calculate the lower and upper limits (fences), and then identify any data values that would be considered outliers. Potential Outliers
Presidents Ages (44 of them): 57 61 57 57 58 57 61 54 68 51 49...
Presidents Ages (44 of them): 57 61 57 57 58 57 61 54 68 51 49 64 50 48 65 52 56 46 54 49 51 47 55 55 54 42 51 56 55 51 54 51 60 62 43 55 56 61 52 69 64 46 54 47 Please answer Question D the last one: Quartile Q1: 51 Quartile Q2: 54.5 Quartile Q3: 57.5 IQR= 6.5 Lower fence = 41.25 Upper fence = 67.25 d. Use the fences from...
On this worksheet, make an XY scatter plot linked to the following data: X 22 48 37 30 24 10 42 3...
On this worksheet, make an XY scatter plot linked to the following data: X 22 48 37 30 24 10 42 30 41 29 16 36 45 11 31 26 31 33 46 22 13 22 32 49 35 Y 3872 9312 5217 4230 4536 1820 8274 121 6314 3828 2448 6156 7515 1309 3534 4576 5797 4983 6670 2464 2197 3278 5408 7497 5705 Add trendline, regression equation and r squared to the plot. Add this title. ("Scatterplot of...
54 A manufacturing process for the company producing wheel bearings was investigated Samples of 4 subgroups w...
54 A manufacturing process for the company producing wheel bearings was investigated Samples of 4 subgroups where tested each containing 6 wheel bearings The specification limits for the process are given as 40 and 52 Given the following data for random measurements taken on the wheel bearing dunng their three shifts Subgroup 1 59 5 0 48 52 56 Subgroup 2 52 56 5 43 51 42 50 58 57 50 Subgroup 3 46 49 49 Subgroup 4 55 50...
2:33 LTE X Statistics first homework.pdf 1 Descriptive Statistics Data 20 25 40 41 42 43...
2:33 LTE X Statistics first homework.pdf 1 Descriptive Statistics Data 20 25 40 41 42 43 44 45 46 47 48 49 50 50 51 52 53 54 55 56 57 58 59 60 65 80 90 For the data above calculate and draw the following: a. A Frequency Diagram with 7 classes b.A Histogram A Stem and Leaf Diagram. Don't forget the instruction d. The Five Number Summary e. The Box and Whisker Plot which needs the IQR, the...
Here is your (discrete) data 108 83 93 118 88 58 88 65 113 103 119...
Here is your (discrete) data 108 83 93 118 88 58 88 65 113 103 119 101 91 92 95 86 85 73 94 61 121 71 116 78 114 119 118 131 41 70 68 98 202 155 41 93 78 96 93 110 100 61 98 39 94 86 108 75 64 50 90 123 109 69 118 85 102 86 153 109 89 134 80 104 96 129 48 81 102 31 97 130 98 105 109...
6). a.b. The accompanying data represent the miles per gallon of a random sample of cars...
6).
a.b.
The accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. (a) Compute the z-score corresponding to the individual who obtained 43.7 miles per gallon. Interpret this result. (b) Determine the quartiles. (c) Compute and interpret the interquartile range, IQR. (d) Determine the lower and upper fences. Are there any outliers? E Click the icon to view the data. (a) Compute the z-score corresponding to the individual who obtained...
1. Descriptive Statistics Data 20 25 40 41 42 43 44 45 46 47 48 49...
1. Descriptive Statistics Data 20 25 40 41 42 43 44 45 46 47 48 49 50 50 51 52 53 54 55 56 57 58 59 60 65 80 90 For the data above calculate and draw the following: a. A Frequency Diagram with 7 classes. b. A Histogram C. A Stem and Leaf Diagram. Don't forget the instruction. d. The Five Number Summary e. The Box and Whisker Plot which needs the IQR, the Lower Fence and Upper...
1. Consider the following sample data: (2, 5, 12,19,21,25 38, 52,65, 69,99). Calculate the following using...
1. Consider the following sample data: (2, 5, 12,19,21,25 38, 52,65, 69,99). Calculate the following using appropriate symbols when possible. a. Mean: b. Median: 2/S C. Standard Deviation: 21.3° ะ d. Variance: 30.78 =52 e. Range: 7 f Midrange 8. Q1: 2 i. Q3:し Lower fourth: 2 3 k. Upper fourth: I. Fourth spread: m. IQR: n. Coefficient of Variation:
A quantitative variable has the following statistics: Min = 0 Q1 = 20 M ed = 25 Q3 = 34 M ax = 70 Which of the following values below would be considered an outlier? 0 8 18 48 58 Part 2: Consider the data set: 24 32 33 37 49 35 31 (a) Calculate the mean, median and IQR (b) Check for outliers using the 1:5(IQR) rule, and indicate which data points are outliers. (c) Remove any outliers and...
4. Given the data set 27, 29, 51, 54, 45, 48, 60, 52, 51, 49, 52, 48, 43, 46, 45, 42, 50, 56, 45 Are there any values that would be considered outliers? Using the IQR, calculate the lower and upper limits (fences), and then identify any data values that would be considered outliers. Potential Outliers
54 A manufacturing process for the company producing wheel bearings was investigated Samples of 4 subgroups where tested each containing 6 wheel bearings The specification limits for the process are given as 40 and 52 Given the following data for random measurements taken on the wheel bearing dunng their three shifts Subgroup 1 59 5 0 48 52 56 Subgroup 2 52 56 5 43 51 42 50 58 57 50 Subgroup 3 46 49 49 Subgroup 4 55 50...
2:33 LTE X Statistics first homework.pdf 1 Descriptive Statistics Data 20 25 40 41 42 43 44 45 46 47 48 49 50 50 51 52 53 54 55 56 57 58 59 60 65 80 90 For the data above calculate and draw the following: a. A Frequency Diagram with 7 classes b.A Histogram A Stem and Leaf Diagram. Don't forget the instruction d. The Five Number Summary e. The Box and Whisker Plot which needs the IQR, the...
6).
a.b.
The accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. (a) Compute the z-score corresponding to the individual who obtained 43.7 miles per gallon. Interpret this result. (b) Determine the quartiles. (c) Compute and interpret the interquartile range, IQR. (d) Determine the lower and upper fences. Are there any outliers? E Click the icon to view the data. (a) Compute the z-score corresponding to the individual who obtained...
1. Descriptive Statistics Data 20 25 40 41 42 43 44 45 46 47 48 49 50 50 51 52 53 54 55 56 57 58 59 60 65 80 90 For the data above calculate and draw the following: a. A Frequency Diagram with 7 classes. b. A Histogram C. A Stem and Leaf Diagram. Don't forget the instruction. d. The Five Number Summary e. The Box and Whisker Plot which needs the IQR, the Lower Fence and Upper...
1. Consider the following sample data: (2, 5, 12,19,21,25 38, 52,65, 69,99). Calculate the following using appropriate symbols when possible. a. Mean: b. Median: 2/S C. Standard Deviation: 21.3° ะ d. Variance: 30.78 =52 e. Range: 7 f Midrange 8. Q1: 2 i. Q3:し Lower fourth: 2 3 k. Upper fourth: I. Fourth spread: m. IQR: n. Coefficient of Variation:
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