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a De-termine the number 4of classes that you want e to use. Then create histgram of...
Section II – Suppose we gathered the data below by an unbiased method. (The data is...
Section II – Suppose we gathered the data below by an unbiased
method. (The data is sorted DOWN the columns.)
Use the data to create a histogram using six (6) classes.
First class should start at 111.
Give the Five-number summary of the data.
Describe the data set. Be specific and note any gaps
and/or outliers. Use the 1.5-IQR test to locate
outliers.
What description of center would be appropriate for the data
set? Explain why?
Draw a box plot....
1. The data are from the U.S. Department of Health and Human Services, National Center of...
1. The data are from the U.S. Department of Health and Human Services, National Center of Health Statistics, Third National Health and Nutrition Examination Survey. The systolic blood pressure (mmHg) for 80 patients was measured. The following data is separated by gender Females: 89 92 93 93 94 95 97 98 99 100 101 102 104 104 104 105 106 106 107 107 107 108 108 110 112 113 113 114 114 116 116 118 119 123 124 125 127...
In exercises 43 and 44, use the data set and the indicated number of classes to...
In exercises 43 and 44, use the data set and the indicated number of classes to construct (a) an expanded frequency distribution, (b) a frequency histogram, (c) a frequency polygon, (d) a relative frequency histogram, and (e) an ogive. 43. Pulse Rates Number of classes: 6 Data set: Pulse rates all students in a class 68 105 95 80 90 100 75 70 84 98 102 70 65 88 90 75 78 94 110 120 95 80 76 108 44....
The data from data421.dat contains information on 78 seventh-grade students. We want to know how well...
The data from data421.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.) find:(Regressor: IQ) R 2 find: (Regressor: Self-Concept) R 2 obs gpa iq gender concept 1 7.94 103 2 54 2 8.292 111 2 73 3...
In what follows use any of the following tests/procedures: Regression, confidence intervals, one-sided t-test, or two-sided...
In what follows use any of the following tests/procedures: Regression, confidence intervals, one-sided t-test, or two-sided t-test. All the procedures should be done with 5% P-value or 95% confidence interval. Open Weight_vs_IQ data. SETUP: Common sense dictates that a person’s IQ and Weight should not be related. However, one never knows until one examines the data. Given the data (IQ and weight for 29 students) your job is to check if the common sense assumption is reasonable or maybe it...
A) You want to use a pendulum to create a clock with a period of exactly...
A) You want to use a pendulum to create a clock with a period of exactly one second in Boone, NC. How long will the pendulum be? Show all your work. (We can predict the period of your simple pendulum using your measurements and Boone’s local gravity g = 9.79 ± 0.01 m/s^2). B) You move your (C1) pendulum to a planet which has a local acceleration due to gravity of 1/9th that of 9.8 m/s^2. How would the period...
Task: You want to calculate a student's GPA for a number of classes taken by the...
Task: You want to calculate a student's GPA for a number of classes taken by the student during a single semester. (In C# (C sharp)) Inputs: 1. the student's name 2. Class names for the classes taken by the student 3. Class letter grade for the classes taken by the student 4. Class credit hours for the classes taken by the student Processing: 1. Accept and process classes until the user indicates they are finished 2. accumulate the number of...
Weight IQ 88 99 112 103 107 97 112 99 80 100 86 90 103 118...
Weight IQ 88 99 112 103 107 97 112 99 80 100 86 90 103 118 121 79 116 80 82 88 65 82 107 103 100 116 91 112 110 92 113 115 105 100 108 94 90 118 73 106 102 126 99 95 80 119 114 116 90 79 95 92 106 78 86 111 106 80 Use the Weight_vs_IQ data. SETUP: Common sense dictates that a person’s IQ and Weight should not be related. However, one...
Create a figure showing the probability of rolling a 5 as a function of the number...
Create a figure showing the probability of rolling a 5 as a function of the number of rolls. Don't forget to include a figure caption describing the significance of the figure. At what point does the calculated odds converge to the theoretical probability? You will want a sufficiently dense data set to show convergence (maybe below 100 go by 10, 100-1000 go by 100, above 1000 go by 1000). Also, it is possible to run multiple roll numbers to show...
How to solve this USING SAS EG? THANKS Automobile collisions: The number of collision claims (COL...
How to solve this USING SAS EG? THANKS Automobile collisions: The number of collision claims (COLLISION) reported for 1984-1986 cars are listed for 9 car categories: small two-door, midsized two-door, large two-door, small four-door, midsized four-door, large four-door, small station wagons and vans, midsized station wagons and vans, large station wagons and vans.. a. In excel convert the data to the format which is appropriate for SAS EG (the data should have 2 columns with names CARCLAS and CRASH). b....
Section II – Suppose we gathered the data below by an unbiased
method. (The data is sorted DOWN the columns.)
Use the data to create a histogram using six (6) classes.
First class should start at 111.
Give the Five-number summary of the data.
Describe the data set. Be specific and note any gaps
and/or outliers. Use the 1.5-IQR test to locate
outliers.
What description of center would be appropriate for the data
set? Explain why?
Draw a box plot....
1. The data are from the U.S. Department of Health and Human Services, National Center of Health Statistics, Third National Health and Nutrition Examination Survey. The systolic blood pressure (mmHg) for 80 patients was measured. The following data is separated by gender Females: 89 92 93 93 94 95 97 98 99 100 101 102 104 104 104 105 106 106 107 107 107 108 108 110 112 113 113 114 114 116 116 118 119 123 124 125 127...
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