Dr. B computed descriptive statistics for final grades in her PSY 210 classes at the end of the semester with the following results:
| min = | 52 |
| max = | 99 |
| mean = | 83 |
| median = | 87 |
| standard deviation = | 13 |
If you provided only these descriptive statistics and the fact that
grades were normally distributed (no raw data) to someone
interested in your findings, what would they be able to conclude
about the range of most (roughly 68%) of scores in the class?
Group of answer choices
Most students have a final grade between 52 - 99.
Most students have a final grade between 74 - 100.
Most students have a final grade between 83 - 87
Most students have a final grade between 70 - 96.
Most students have a final grade between 55 - 81.
From the given information,
As median(87) is near to the maximum value(99),
Hence, we can conclude that maximum data is present at upper side 87-99.
And 68% percent data lies between 1 times Standard deviation below and above mean.
Hence,
The correct answer is.
Most students have a final grade between 70 - 96.
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Dr. B computed descriptive statistics for final grades in her PSY 210 classes at the end...
The following scores represent the final examination grades for an elementary statistics course: 23 60 79 32 57 74 52 70 82 36 80 77 81 95 41 65 92 85 55 76 52 10 64 75 78 25 80 98 81 67 41 71 83 54 64 72 88 62 74 43 60 78 89 76 84 48 84 90 15 79 34 67 17 82 69 74 63 80 85 61 Calculate: Stem and leaf Relative frequency histogram Cumulative frequency Sample Mean Sample Median Mode Variance Standard deviation
02 The following scores represent the final examination grades for an elementary statistics course: 23 60 79 32 57 74 52 70 82 36 80 77 81 95 41 65 92 85 55 76 52 10 64 75 78 25 80 98 81 67 41 71 83 54 64 72 88 62 74 43 60 78 89 76 84 48 84 90 15 79 34 67 17 82 69 74 63 80 85 61 Calculate: . Stem and leaf ....
the given table shows a relation between students attendance
percentages and their final grades
Week 8 Ašsignment: Performing Linear Regressions with Technology Excel The given table shows a relation between students' attendance percentages and their final grades. Find the best fit linear regression equation, where attendance is the explanatory variable. Round the slope and intercept to two decimal places. Attendance Percent Grade 90 94 30 62 40 63 60 70 67 78 70 85 95 96 79 90 54 67...
Write a program to calculate students’ average test scores and their grades. You may assume the following data: Johnson 85 83 77 91 76 Aniston 80 90 95 93 48 Cooper 78 81 11 90 73 Gupta 92 83 30 69 87 Blair 23 45 96 38 59 Clark 60 85 45 39 67 Kennedy 77 31 52 74 83 Bronson 93 94 89 77 97 Sunny 79 85 28 93 82 Smith 85 72 49 75 63 Use three...
Write a program to calculate students’ average test scores and their grades. You may assume the following data: Johnson 85 83 77 91 76 Aniston 80 90 95 93 48 Cooper 78 81 11 90 73 Gupta 92 83 30 69 87 Blair 23 45 96 38 59 Clark 60 85 45 39 67 Kennedy 77 31 52 74 83 Bronson 93 94 89 77 97 Sunny 79 85 28 93 82 Smith 85 72 49 75 63 Use three...
Student stress at final exam time comes partly from the
uncertainty of grades and the consequences of those grades. Can
knowledge of a midterm grade be used to predict a final exam grade?
A random sample of 200 BCOM students from recent years was taken
and their percentage grades on assignments, midterm exam, and final
exam were recorded. Let’s examine the ability of midterm and
assignment grades to predict final exam grades.
The data are shown here:
Assignment
Midterm
FinalExam...
Suppose a teacher recorded the attendance of her students in a
recent statistics class because she wanted to investigate the
linear relationship between the number of classes they missed and
their final grades. The accompanying table shows these data for a
random sample of nine students
Classes Missed Final Grade
4 73
6 81
1 92
4 72
0 94
2 86
0 89
5 87
2 96
Suppose a teacher recorded the attendance of her students in a recent...
Missed Classes Final Grade
4 75
6 80
1 91
4 71
0 95
2 83
0 91
5 86
2 96
Suppose a teacher recorded the attendance of her students in a recent statistics class because she wanted to investigate the linear relationship between the number of classes they missed and their final grades. The accompanying table shows these data for a random sample of nine students. Complete parts a through c. Click the icon to view the table...
5-8 show work
5. 6. At a local high school 5000 juniors and seniors recently took an aptitude test. The results of the exam were normally distributed with mean - 450 and o = 50. Calculate the following: a. The PERCENT of students to the nearest tenth of a percent that scored over 425 b. The number of students that scored more than 475 c. The probability of a student selected at random having scored between 400 and 575 A...
Lab Exercise #15 Assignment Overview This lab exercise provides practice with Pandas data analysis library. Data Files We provide three comma-separated-value file, scores.csv , college_scorecard.csv, and mpg.csv. The first file is list of a few students and their exam grades. The second file includes data from 1996 through 2016 for all undergraduate degree-granting institutions of higher education. The data about the institution will help the students to make decision about the institution for their higher education such as student completion,...