Help anyone need it asap 8th grade math
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Answer:
Width of intervals: 8
Step-by-step explanation:
We first look at how data is represented in a stem-leaf diagram.
Any number of the left (before -) is the stem and all numbers on right (after -) are the leaves. Each combination of stem and leaf represents one number. For example: 1 - 332 represents: 13, 13, 12.
Our data is as follows:
13, 13, 12, 24, 25, 31, 31, 35, 37, 42, 43, 41, 52, 51, 51, 52
To calculate the width of the frequency distribution chart, we have the following formula:
The range of any data set = Maximum value in the data set - Minimum value in the data set
Maximum value in this case as seen from the data is 52 and minimum is 12.
Range = 52 - 12 = 40
Since we had only 5 stems in the data, we shall use that as the number of classes required in the frequency distribution chart.
Hence, the class width in this data set will be 8.
To make the intervals, we begin from the minimum value and add 8 to it. The intervals will be:
12 - 20
20 - 28
28 - 36
36 - 44
44 - 52
Observe, that all the values of the stem lie within each interval.
For example, there are 3 values for stem 1: 12, 13, 13 and each lie in the first interval 12 - 20.
Next, the values of stem 2 are 24 and 25. Each of these value lie in the second interval 20 - 28; and henceforth.
The stronger the evidence is against the null hypothesis, the higher the divergence from it.
What do you mean by null hypothesis ?
A statistical hypothesis known as a null hypothesis asserts that no statistical significance can be found in a collection of provided observations. Using sample data, hypothesis testing is performed to judge a theory' veracity. It is sometimes referred to as just "the null," and its symbol is . To determine if a theory regarding markets, investing methods, or economies is correct or wrong, quantitative analysts employ the null hypothesis,
The null hypothesis states that the percentage of the population who works full time is 0.45.
As a result, 450 persons who are randomly selected from a population of 1000 work full-time.
A different hypothesis states that the ratio is higher than 0.45.
In the options provided, the proportion for the first option is 300/1000, or 0.3.
In the second choice, 500/1000 equals 0.5
Third alternative: 700/1000 = 0.7
Therefore, the stronger the evidence is against the null hypothesis, the higher the divergence from it.
To learn more about the null hypothesis from the given link.
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