Burger King Lunch Service Times Refer to Data Set 36 “Fast Foo...

Question

Burger King Lunch Service Times Refer to Data Set 36 “Fast Food” and use the drive-through service times for Burger King lunches. Begin with a lower class limit of 70 seconds and use a class width of 40 seconds.
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Accepted Answer

All right. Hello, everyone. So this question is asking us to refer to the data set below, which represents drive-through service times in seconds at a popular cafe. Begin with a lower class limit of 60 seconds and use a class width of 30 seconds to construct a frequency distribution. And here we have the data set in question, which is service times measured in seconds. All right, so first and foremost. We are given the data set that we're going to use for this question. So from there, you determine the class limits and the width of each interval that you're using. So in this case, the lower class limit. Which refers to the lowest possible value of the data set is 60 seconds. And the class width is 30 seconds, which means that each class, each specific interval, spans a range of 30 seconds. So with that information in mind. You can reach the, or rather you can find the intervals. So here I'm going to start with making a table. So I have one column that says class interval on the left. And then I have another table that says frequency on the right. So let's begin with the first one. Right, with the lower class limit of 60, or first class interval is, or rather ranges from 60 to 89. The next one ranges from 90 to 119. The third ranges from 120 to 149. And the fourth ranges from 150 to 179. And at this point you would stop because now we've already passed the. The largest number in the data set. So from here to determine the frequency of each class interval, you would count how many data points fall into each one. So let's start with the first one, ranging from 60 to 89. Looking at the data set in full, I can see that 65. 72 85 78 and 88 fall into this range. Which means that the frequency of the first class interval is 5. So now, because I've already counted these 5 values in my frequency distribution, I'm actually going to go ahead and cross them out. Just to make it easier to track. Now let's move on to the next one, ranging from 90 to 119. When I look, I can see that 95, 110, 99. 105. 90 112 and 100 fall under this class interval. Making the frequency 7. And I'm also going to cross these numbers out too. Just to make it less confusing as we move forward. Moving on now to the 3rd interval spanning from 120 to 149. We have 135, 120. 140 130 And 125 and 145. This makes the frequency of the 3rd class interval 6. So now this leaves us with two remaining values of the data set, which correspond to the 4th and final class interval, that is 150 and 155. So the frequency of the 4th and final class interval would be 2. And that concludes the frequency distribution. So here is the correct answer. And there you have it. So with that being said, thank you so very much for watching, and I hope you found this helpful.

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