Natalia has 48 tiles.Write a factor pair for the number 48.
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Answer:
Step-by-step explanation:
Given: Natalia has 48 tiles.
To write the factor pairs of the number 48, we need to first write its factors.
The factors of 48=1,2,3,4,6,8,12,24,48
We know that 48 can be written as :-
These all are the factor pairs for the number 48. From the above factor pair we can choose any pair for the answer.
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5550 divided by 10 to the third power
What is the missing number in the data set 15,17,28,30 if the mean is 23
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16
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They earned more than $200, therefore x > 200
They paid their parents $28, assuming all the parents got $28
So we remove 28 from both sides of the inequality
x -28> 200-28
Let y be the amount left after paying their parents, and replace (x -28) with y in the inequality above.
y> 200-28
y> 172
Amount each got, divide both sides of the inequality by 3.
y/3 > 172/3
Let amount each got after dividing equally be z, replace (y/3) with z in the inequality above
z > 172/3
z > 57.33
Each got more than $57.33
28x+86≤200 i am gonna subtract 86 both of side 28x+86-86≤200-86 to get value of x.
28x≤114 divide 28 both of side to get value of x so it will be x≤4
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hope that helped
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Final answer:
The data distribution is a normal distribution with a mean of 10. The spread of the data is 5 and there are no outliers.
Explanation:
- The data distribution can be described as a symmetric bell-shaped curve, indicating a normal distribution. The center of the distribution is the mean, which can be calculated by adding up all the numbers and dividing by the total count. In this case, the mean is 10.
- The spread of the distribution can be determined by calculating the range, which is the difference between the highest and lowest values. In this case, the range is 12 - 7 = 5.
- To determine if there are any outliers, we can use the concept of the interquartile range (IQR). The IQR is the range of the middle 50% of the data. First, we need to calculate the first quartile (Q1), which is the median of the lower half of the data, and the third quartile (Q3), which is the median of the upper half of the data. In this case, Q1 = 9 and Q3 = 11.
- The IQR is then calculated as Q3 - Q1 = 11 - 9 = 2. Any data point that falls below Q1 - 1.5 * IQR or above Q3 + 1.5 * IQR is considered an outlier. Since there are no numbers that meet this criteria in this dataset, there are no outliers.
Learn more about Data Distribution here:
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