A histogram would be the best type of graph for displaying the range and frequency distribution of a student's test scores while still showing each individual test score. Histograms provide a visual representation of the distribution of data by grouping the scores into intervals or bins and displaying the frequency of scores within each bin. This allows for a clear depiction of the range of scores and the frequency with which each score occurs, while still retaining the individual data points for reference.
Not possible to tell you without knowing how many students' there are, and what distribution you wish to use (i.e normal distribution, t-distribution etc...)
Histogram
The number of students is discrete. There is no number of students between 4 and 5.
3
Answer172 students are in the school. AnswerYou can't really say 172 exactly. Maybe some students are indifferent to it. AnswerThere are "at least" 172 students are in the school.
Stem-and-leaf plot
Introduction:Frequency distribution is used to compress and summarize the whole data by grouping the data into classes and records the data points that fall in each class. The frequency distribution is considered as the base for descriptive statistics and they are also used to define the ordinal, nominal and the interval data. Frequency distribution is the comfortable way of grouping and organizing the data.Example of Frequency Distribution:Consider the frequency table for the students in a class where the data has been grouped according to the height of the students. Range of height Total number of student's cumulative frequency3.0 - 4.5 feet 15 154.5 - 5.0 feet 20 355.0 - 6.5 feet 25 506.5 - 7.0 feet 30 80In the case of nominal data the use of the contingency table is required. The frequency distributions are used to present the data graphically.Types of Frequency Distributions:There are three types of frequency distributions. Cumulative frequency distribution,Grouped frequency distribution,Cumulative Grouped frequency distribution.Cumulative frequency distribution (type 1):The cumulative frequency can be found from the frequency distribution by adding the cumulative frequency column. The highest cumulative frequency should be equal to the total number of frequenciesTemperature Frequency Cumulative frequency47 3 2246 3 1945 4 1544 3 1243 3 9Grouped frequency distribution (type 2):The grouped frequency distribution can be formed by grouping the values together into the class intervals. The range can be calculated using the maximum and the minimum values.Data set for temperature45 48 47 43 4442 45 43 46 4645 47 46 47 4543 47 45 47 4644 43 44 46 47The grouped frequency distribution is given byClass interval midpoint frequency45- 47 46 1542 - 44 43 7Cumulative grouped frequency distribution (type 3):In cumulative frequency distribution the cumulative frequency column is added to the grouped frequency distribution so that we can get the cumulative grouped frequency distribution.Class interval midpoint frequency Cumulative frequency45- 47 46 15 2242 - 44 43 7 7
Frequency is how often something occurs. Frequency distribution is how often something occurs within a group of separate categories or ranges. Say you had a list of exam scores from a class of students. You might want to find out how many people got between 0% and 10%, how many got between 11% and 20%, how many got between 21% and 30%, and so on. All you are interested in is the how many as compared to who actually got the scores. What you would be doing is creating a frequency distribution table. You would be finding out how many people got results in the various ranges, or how the frequency of results are distributed across these ranges.
Not possible to tell you without knowing how many students' there are, and what distribution you wish to use (i.e normal distribution, t-distribution etc...)
Histogram
circle graph
Pie Chart
No
Pie Chart
The answer will depend on the location and ages of the students.
Pi is relevant to statistics students as it (for example) appears in the well known normal distribution probability density function.
Some common challenges students face when solving Doppler effect problems include understanding the concept of frequency shift, correctly applying the formula for calculating the observed frequency, and accounting for the relative motion of the source and observer. Additionally, students may struggle with interpreting the direction of the frequency shift based on the motion of the source and observer.