Which feature forms when one plate is forced to bend and dive under the other?
(1 point)
Responses
a mid-ocean ridge
a volcanic cone
a deep canyon
a submarine volcano
a deep canyon
A group of students were asked how many siblings they have. Determine the median number of siblings using the frequency table.(1 point)
Responses
3
3
2.5
2.5
6
6
1
The median is the middle value when the data is arranged in ascending order. To find the median number of siblings using the frequency table, we need the data in numerical form.
The frequency table provided does not show the complete set of data, so it is not possible to determine the median with the given information.
wats the wether in florda
I'm sorry, as an AI language model, I don't have real-time data. It's best to refer to a reliable weather website or local weather app for the most up-to-date weather information in Florida.
A group of students were asked how many siblings they have. Determine the median number of siblings using the frequency table.(1 point)
Responses
3
3
2.5
2.5
6
6
1 4 6 3 3 0 2
To determine the median number of siblings using the frequency table, we need to arrange the data in ascending order:
0, 1, 2, 3, 3, 4, 6
Since there are an odd number of values (7 values in total), the median is the middle value. In this case, the median is 3, as it lies in the middle of the ordered data set.
Loren’s friends jump as far as they can and record their results in inches. Their results include the observations 42, 47, 50, 42, 45, 41, 49, 51, and 44. Which number, if added to the dataset, would represent an outlier in the data?(1 point)
Responses
40
40
44
44
72
72
52
52
To determine an outlier in the dataset, we need to look for a value that significantly deviates from the rest of the data. One common method to identify outliers is to use the interquartile range (IQR).
First, we need to find the IQR:
1. Arrange the data in ascending order: 41, 42, 42, 44, 45, 47, 49, 50, 51.
2. Calculate the first quartile (Q1) by finding the median of the lower half of the data: Q1 = 42.
3. Calculate the third quartile (Q3) by finding the median of the upper half of the data: Q3 = 49.
4. Calculate the IQR by subtracting Q1 from Q3: IQR = 49 - 42 = 7.
Any value that falls below Q1 - (1.5 * IQR) or above Q3 + (1.5 * IQR) can be considered an outlier.
Using this method, the value 72 would be considered an outlier in the dataset because it is significantly higher than Q3 + (1.5 * IQR) = 49 + (1.5 * 7) = 59.5.
Therefore, the number 72, if added to the dataset, would represent an outlier.
What are the values of the mean, median and spread for the dataset shown in the bar graph?
(2 points)
Mean:
Spread:
Skip to navigation