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Statistics and probability
Cumulative relative frequency graph problem
Nutritionists measured the sugar content (in grams) for 32 drinks at a popular coffee shop. A cumulative relative frequency graph for these data is shown below.
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- Why does it have the same questions as the video?(49 votes)
- probably so we can work along with the video, or maybe so we can go back to the video if we have a question on how to solve the problem.(13 votes)
- definition of relative frequency(3 votes)
- relative frequency as this :
we have 10 glass of drinks , half of them has sugar and the other half doesnt have sugar. Now "what is the percentage of the drinks that don't have sugar? (5 drinks don't have sugar)/ (10 total of drinks) = .5
.5 is the relative frequency :)
relative means (relative to all drinks) frequency means (how many drinks have or havn't sugar)
in other words "relative to all drinks we have , what is the frequency (number of drinks) of sugar free drinks"(31 votes)
- where has cumulative frequency been discussed?(13 votes)
- there are dedicated sections in KA for this topic(4 votes)
- Is This the same thing is Cumulative Frequency Curve?(5 votes)
- why is the government taking my money?(5 votes)
- How can i know calculate a percentile in a histogram easily,like how to know the interval in question(3 votes)
- How do you use the information on the graph to make a frequency table ?(2 votes)
- Where and why would knowing an interquartile range be useful in the real world?(0 votes)
- The IQR is telling us how much the middle 50% of our data are spread. Large IQR means data are widely spread while small IQR means data are focused.
another important use for the IQR is to detect the outliers(out of range data points).
one of the rules if the data point is < Q1-1.5*IQR it is too low to be true.
also if the data point is > Q3 + 1.5*IQR then it is too high to be true.(7 votes)
- Still gotta get used to it(1 vote)
- how do we get the total estimate range for the distribution of drinks.(1 vote)