The frequency distribution based on the information given is illustrated below.
<h3>
What is the frequency distribution of table?</h3>
A frequency distribution table is the
chart that summarizes all the data under two columns - variables/categories, and their frequency.
It should be noted that the distribution table has two or three columns and the first column lists all the outcomes as individual values or in the form of class intervals, depending upon the size of the data set.
Given the above information the frequency distribution table is:
Cost of living Number of states
85.0 - 94.9 9
95.0 - 104.9 5
105.0 - 114.9 0
115.0 - 124.9 2
125.0 - 134.9 2
135.0 - 144.9 1
145.0 - 154.9 1
Learn more about frequency distribution on:
brainly.com/question/1094036
#SPJ1
Answer:
The correct features are;
2, 3, and 4
Step-by-step explanation:
2) Information carried by digital communication can be stored as digital information on electronic media such that they can be accessed with the aid of electronics and can be stored in a wide variety of recording formats including magnetic and optical media
3) Digital communication can be made over very long distance using serial communication. Fiber optics cables are used for transmitting information across continents using square waves which is a digital signal
4) Digital signals are less likely to be subjected to interference, distortion, and generation loss which is prone to analog signals, and therefore, there is less chance of signal loss when using digital communication.
Answer:
AngleRST and AngleRSV
Step-by-step explanation:
You first draw the diagram with statement given
The correct answer is B. Stratified sampling is used since the field is divided into subplots and a random sample is taken from each subplot.
Explanation:
Sampling refers to the process followed by researchers to select a group of individuals from a larger group; considering in most studies it is not possible to analyze all the population. In the case of stratified sampling, this involves dividing the general population into smaller groups, which are known as strata; after this, the researcher selects a specific number of individuals from each strata. This method guarantees the sample is selected randomly, and therefore the study is not biased. Stratified sampling was the method used in the example described because, in this, the general population (46-acre field) was divided into subplots that represent the strata. Also, after this, the researcher selected one random sample.
