MAX POINTS PLS ANSWER CORRECTLY OR WILL REPORT ty !
2 answers:
Answer:
136112
Step-by-step explanation:
since the outer circle is 25cm wider on one side, the radius of outer circle is 25 cm wider. (imagine rotating the green line to match with the pink line, you'll see the outer circle radius more clearly)
r of inside circle = 148.4/2 = 74.2
r of outside circle = 74.2 +25 = 99.2
the shaded region = A of outer circle - A of inner circle
=3.14(99.2)^2 - 3.14(74.2)^2
area of a circle is , I plugged in known values above^.
= 30899.6096 - 17287.7096 = 13611.9 (I definitely recommend a calculator)
rounded to nearest whole number = 13612
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Answer:
The correct option is Mean and standard deviation.
Step-by-step explanation:
The data set provided, arranged in ascending order is:
S = {0 , 0 , 0 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 3 , 3 , 3 , 4 , 4}
Now, it is provided that Macy was absent when the data was collected and the class guessed she had 4 siblings. When she returned, they found out she actually has 9 siblings.
So, the new data set is:
X = {0 , 0 , 0 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 3 , 3 , 3 , 4 , 9}
The mean of a data set is the average value representing the entire data.
The median is the middle value of the data set.
The inter-quartile range is the difference between the first and the third quartile.
The standard deviation is the value that represents how dispersed the data values are.
From all the above statistic, the mean and standard deviation are the only ones that uses all the observations in the data set to compute their value.
So, on changing one of the 4s by a 9, the set of measures that will be affected are the mean and standard deviation.
Thus, the correct option is Mean and standard deviation.
The chi-squared test statistic will be 3.11. The test statistic is contrasted with a predicted value based on the Chi-square distribution.
<h3>What is the chi-squared test statistic?</h3>Finding the squared difference between the actual and anticipated data values, then dividing that difference by the expected data values, constitutes the test statistic.
The formula for the chi-squared test statistic is;
Where,
is the observed value
is the expected value
The chi-square test statics is;
Hence, the chi-squared test statistic will be 3.11.
To learn more about the chi-squared test statistic refer;
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