The data set below shows the weights of some puppies, in pounds, at a kennel: 10, 10, 10, 11, 12, 12, 14, 14, 15 which histogram
represents the data set?
1 answer:
The sample size of the data set is 9.
The range of the data is 10 - 15.
Group the data into 5 bins according to the table shown below.
Bin Count
----- ---------
10 3
11 1
12 2
13 0
14 2
15 1
A plot of the histogram n shown in the figure.
The data is skewed toward a value of 10, which has the largest frequency of 3.
The average is 12, and the median is 12.
The range of the data is 10 - 15.
Group the data into 5 bins according to the table shown below.
Bin Count
----- ---------
10 3
11 1
12 2
13 0
14 2
15 1
A plot of the histogram n shown in the figure.
The data is skewed toward a value of 10, which has the largest frequency of 3.
The average is 12, and the median is 12.
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Answer:
0.1151 = 11.51% probability of completing the project over 20 days.
Step-by-step explanation:
Normal Probability Distribution
Problems of normal distributions can be solved using the z-score formula.
In a set with mean and standard deviation
, the z-score of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.
Expected completion time of the project = 22 days.
Variance of project completion time = 2.77
This means that
What is the probability of completing the project over 20 days?
This is the p-value of Z when X = 20, so:
has a p-value of 0.1151.
0.1151 = 11.51% probability of completing the project over 20 days.