Here is a histogram showing barry bonds's home-run totals for the years 1991 - 2005. looking at the histogram, you might suspect that both his disastrous low home-run year and his record-shattering high home-run year are outliers requiring special investigation. to confirm your suspicion, you have to look at the data. here are bonds's home-run totals by year, starting in 1991 and ending in 2005: 5, 45, 46, 25, 34, 73, 37, 33, 42, 40, 37, 34, 49, 46, 45. how many outliers do these data contain?

There are two outlier in the data.

Step-by-step explanation:

We are given a given a data as:

5, 45, 46, 25, 34, 73, 37, 33, 42, 40, 37, 34, 49, 46, 45.

We know that an outlier of an data are the data points that stands out of the rest of the data that is it takes either a too high or too low value as compared to other data points.

Hence, here looking at the data points we see that there are two outliers one at the left of the data and one to the right.

i.e. one is a too low values and one is a high value.

The outliers are:

5 and 73.

1)is not similar since corresponding sides are not in the same ratio

2)are similar since corresponding sides are in the same ratio and corresponding angles are equal

hope it will

#faazmessi

answer: the two figures are congruent.

step-by-step explanation: they're congruent because figure efgh is reflected across the x and y axis but it was also rotated.

hope it !