Question

Sometimes we need to determine if data is actually “normal”. Determine if the data set includes...

Sometimes we need to determine if data is actually “normal”. Determine if the data set includes more than 1 outlier.

85,53,70,10,11,40,10,65,55,25

1. What is my 5 number summary?

2. What is my interquartile range?

3. What is an outlier in my data set?

4. Do I have any outliers in the lower part of my data set?

Homework Answers

Answer #1

Answer)

First we need to arrange the data in ascending order

10, 10, 11, 25, 40, 53, 55, 65, 70, 85

A)

Five number summary includes

Minimum, Q1, median, Q3, maximum

Minimum = 10

Q1= middlemost number of first half = 11

Median = middlemost number = 46.5 {in between 40 and 53}

Q3 = middlemost number of second half = 65

Maximum = 85

So, five number summary is

10, 11, 46.5, 65, 85

2)

Interquartile range is = Q3 - Q1 = 65 - 11 = 54

3)

Outlier is any thing below Q1 - (IQR*1.5) and anything above Q3 + (IQR*1.5)

11 - (54*1.5) = -70

65 + (54*1.5) = 146

Clearly there is no number below 70 or above 146

So there are no outlier

4)

No

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Consider the following data set showing the number of days with hail in six randomly chosen...
Consider the following data set showing the number of days with hail in six randomly chosen years in Denver: D = {2,3,6,14,21,X} The number X is not legible, but we do know that X > 21. The following questions involve numbers from the 5-number summary for this data set. a) what is the third quartile, Q3? b) what is the interquartile range? c)use the 1.5 IQR criterion to determine the value C such that if X ≤ C , then...
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find...
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 41 53 35 45 40 38 40 47 45 39 36 54 44 34 15 52 39 49 30 29   a. Find the quartiles. The first​ quartile, Upper Q 1​, is nothing. The second​ quartile, Upper Q 2​, is nothing. The third​ quartile, Upper Q 3​, is nothing. ​(Type integers or​ decimals.) b. Find the interquartile range....
(a) Refer to the data on median family income in Table 7.1. The five-number summary for...
(a) Refer to the data on median family income in Table 7.1. The five-number summary for the family income data is as follows. $74,073 $66,880 $83,648 $56,994 $105,348 Using the definition of an outlier, where an outlier is defined to be any value that is more than1.5 ✕ IQR beyond the closest quartile, what income value would be an outlier at the upper end (in $)? $ ___ Determine if there are any outliers, and if so, which values are...
The accompanying data represent the miles per gallon of a random sample of cars with a​...
The accompanying data represent the miles per gallon of a random sample of cars with a​ three-cylinder, 1.0 liter engine. ​(a) Compute the​ z-score corresponding to the individual who obtained 35.9 miles per gallon. Interpret this result ​(b) Determine the quartiles. ​(c) Compute and interpret the interquartile​ range, IQR. ​(d) Determine the lower and upper fences. Are there any​ outliers? 32.6 34.4 34.8 35.2 35.9 36.2 37.4 37.7 38.0 38.1 38.2 38.6 38.7 39.0 39.4 39.7 40.2 40.7 41.4 41.8...
How can we tell if a set of data follows a normal distribution? Explain how each...
How can we tell if a set of data follows a normal distribution? Explain how each of the following is useful in helping us determine whether or not data have a normal distribution. 1. Making a histogram 2. Checking for outliers 3. Making a box-and-whisker plot
In this class you will need to decide if a data value is unusual (an outlier)....
In this class you will need to decide if a data value is unusual (an outlier). You have a way of determining if a datum is an outlier by constructing fences (lower fence = Q1-1.5*IQR, upper fence = Q3+1.5*IQR) and comparing the data value to the value of the fences. If the data value is "outside" one of the fences then it is considered an outlier. For the normal model, some would consider any data value that is more than...
Provided below is a simple data set for you to practice finding descriptive measures. For the...
Provided below is a simple data set for you to practice finding descriptive measures. For the data​ set, complete parts​ (a) through​ (c). 0, 2, 4, 5, 6, 0, 2, 4, 5, 6      a. Obtain the quartiles. Q1 = Q2 = Q3 = ​(Type integers or decimals. Do not​ round.) b. Determine the interquartile range.The interquartile range is "?" ​ (Type an integer or a decimal. Do not​ round.) c. Find the​ five-number summary. ​ ​(Type integers or decimals....
Consider the following sample data set. 0, 50, 66, 68, 69, 72, 74, 75, 12000 Manually...
Consider the following sample data set. 0, 50, 66, 68, 69, 72, 74, 75, 12000 Manually calculate the mean and standard deviation of the set showing all calculations in a clear detailed table. Then, in a separate table, calculate the Z-score of each data point and indicate if it is a normal data point, a potential outlier, or an outlier. Remove any outliers and completely repeat this process. What do you observe about doing this?
How to write a query in SQL to determine the outliers of the data set in...
How to write a query in SQL to determine the outliers of the data set in the correct change column. There are 6 columns ID, gender, treatment, start_weight_kg, end_weight_kg, correct change. I need to find the numbers that are greater than -30 in the correct change column. Table name is JerkyDietPlan
Refer to the data set below​ (body mass index of​ men) and determine whether the requirement...
Refer to the data set below​ (body mass index of​ men) and determine whether the requirement of a normal distribution is satisfied. Assume that this requirement is loose in the sense that the population distribution need not be exactly​ normal, but it must be a distribution that is basically symmetric with only one mode. 26.1  30.4  33.2  23.0  26.3  24.8  28.2  23.5  23.7  25.3 25.9  26.6  21.7  24.0  20.6  26.8  27.9  19.4  27.1  32.3 Is the requirement of a normal...