Sol:
mean=1539.6
median=1503
mean>median
distribution is positively skewed(more data are on the left
There are outliers seen from the histogram.
As it is skewed disribution center is median as it is not affected by outliers.
center:1503:
spread is standard deviation=530.8854
describe how the shape, center and spread of the graph. 1000-2000 4000 5000 3000 Gr. Liv....
Do a comparison between the actors and actresses that includes the shape,center,spread and any unusual features. Summary statistics: Column n Mean Std. dev. Min Q1 Median Q3 MaxIQR Actors 30 44.18.2267436 29 38 43.5 50 60 12 Actresses 3037.96666711.263255 22 29 34.5 45 62 16 Summary statistics: Column n Mean Std. dev. Min Q1 Median Q3 Max IQR Actors 30 44.18.2267436 29 38 43.5 50 60 12 Actresses 3037.96666711.263255 22 29 34.5 45 62 16 Oscar winner ages in the...
List 2 findings about the shape of the data and how it appears to be spread out in each of the quadrants. Approximate Height in Inches: Mean = 3012 Median = 69 Variance = 1226.5 Std. Dev. = 35.02 IQR = 7 Lower Quartile = 65 Upper Quartile = 72 Lowest = 5.4 Highest = 682 Boxplot 682 5.4 65 69 72
part f is the attached graph Sampling Distributions 0.8 0.6 0.4 0.2 0 Population Prop. of 1s 0.72 Population 704 60 50 40 30 20 10 Samples Sample size Prop. of 1s 100 0.68 Samples 100 80 60 40 20 Sample prop. of 1s #of Samples Mean Median Std. dev. 1000 0.7207 0.72 0.0456 il 00.2 0.40.60.8 Sample proportions Why do you think that this graph from part (f) has the shape you described? Use the Central Limit Theorem large...
5. The graph below shows incomes of a sample of young people who graduated from the high school in your community six months ago. Which is more likely? Frequency 0 1000 4000 5000 6000 2000 3000 income A. The mean is smaller than the median B. The mean is larger than the median C. The mean is equal to the median D. We cannot say without having the actual numbers
x+y+z=1000 x<5000 y<4000 z>3000 how many possible solution x,y,z can be ? x,y,z have to be even numbers .. like 4500 or 5650 anyone has any idea on how to solve it ?
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A)The data were collected in a study conducted in a semiconductor manufacturing plant. In this plant the finished semiconductor is wire bonded to a frame. The goal of the study was to relate a pull strength to a wire length and a die height. The variables obtained for each subject were a pull strength (a measure of the amount of force required to break a bond), a wire length, and a height of a die. What is the type of...