Observations on burst strength (ib/in2) were obtained both for test nozzle closure welds and for production canister nozzle welds. test 7200 6100 7300 7300 8000 7400 7300 7300 8000 6700 8300 5250 5625 5900 5900 5700 6050 5800 6000 5875 6100 5850 6600 cannister a comparative boxplot is given below. test nozde cannister 5000 6000 bunt strength (b, m comment on interesting features (the cited article did not include such a picture, but the authors commented that they had looked at one). (select all that apply.) the production canister welds have consistently lower burst strengths than the test nozze welds. the production canister weids have much more variable burst strengths the test nozzle welds data contain 2 outliers. test nozzle welds have much more variable burst strengths. the production canister welds have much higher burst strengths. the production canister welds data contain 2 outiers.

1) The production canister welds have consistently lower burst strengths than the test nozze welds.

2) The production canister weids have much more variable burst strengths.

3) The test nozzle welds data contain 2 outliers.

4) Test nozzle welds have much more variable burst strengths.

5) The production canister welds have much higher burst strengths.

6) The production canister welds data contain 2 outiers.

Step-by-step explanation:

Hello!

The boxplots summarize the information of test nozzle closure welds and production canister nozzle welds.

The boxplot for the test nozzle closure welds shows that the first quartile and second quartile are close to each other but the third quartile is more separated to them, meaning that the data contained in the box is asymmetric, the data seems to have less variability between C₁ and C₂ and more between C₂ and C₃, the box is right-skewed.

The left whisker is larger than the right one, there are no outliers in the sample, due to most of the data being comprehended below C₁, the overall distribution of the data set is left-skewed, with large variability.

The boxplot for production cannister nozzle welds shows that the box is small (the variability of the data set is low) and symmetric, with C₂ in the middle of it and C₁ and C₃ are equidistant to the second quartile.

The whiskers of the box are small but they have almost the same length, showing that there is the same amount of data in them, this adds to the overall symmetry of the data set.

Finally, this data set shows two outliers, these values are far from the box, meaning that they are relatively extreme unusual values in regards to the rest of the sample but their distance to the box seems to be equal wich adds to the conclusion of the symmetrical distribution, with low variability of the data set.

I hope it helps!

solution:

as, mean is defined as sum of all the observations divided by total number of observations.

and , median is mid value of the data whether arranged in ascending order or descending order.

consider, roadsters:

2,3,4,5,6,7,8,9

mean =

also, median= , because number of observations is even, so median is mean of two mid values.

now, coming to bandits

2,3,4,5,6

mean =  

median = 4, as number of observations is odd.

so, roadsters has greater median as well mean than bandits.

→option a is true about the repairs performed on 2 types of cars:

bandits have lower median and mean than roadsters.