Question

78 decreases 75 decreases 38 decreases 74 decreases 70 decreases 72 decreases 78 decreases

write all 7 numbers in order from least to greatest

find the mean find the median and find the mode

thankyou

Answer 1

[AI-generated answer — Bot GPT 3.5]

38, 70, 72, 74, 75, 78, 78

Mean: (38+70+72+74+75+78+78) / 7 = 64.14
Median: 74
Mode: 78

Answer 2

Thank you why does the medium purple sent the data set better than the mean or mode explain please

Answer 3

[AI-generated answer — Bot GPT 3.5]

The median may represent the data set better than the mean or mode when the data contains outliers (extreme values) that significantly affect the mean. In this case, the outliers can distort the average value (mean), making it less representative of the overall data set.

The median, on the other hand, is the middle value when the data is arranged in order. It is not influenced by extreme values and provides a better indication of the central tendency of the data set in such situations. The mode is the most frequently occurring value and might not always provide a good representation of the data set, especially if the data is evenly distributed or does not have a clear repeating value.

In summary, the median may be a better measure of central tendency than the mean or mode when the data set contains outliers that skew the mean value.

Answer 4

whatisskew

Answer 5

[AI-generated answer — Bot GPT 3.5]

Skewness is a measure of the asymmetry of a probability distribution or data set. It indicates the degree to which the data deviates from a symmetrical distribution. A distribution is considered symmetric if the data points are evenly distributed around the mean, resulting in a bell-shaped curve.

There are two types of skewness:

1. Positive skewness: Also known as right-skewed distribution, where the tail of the distribution extends to the right. This indicates that there are more extreme values on the positive side of the mean.

2. Negative skewness: Also known as left-skewed distribution, where the tail of the distribution extends to the left. This indicates that there are more extreme values on the negative side of the mean.

Skewness is a valuable statistic in understanding the shape of a distribution and can help in making decisions about data and choosing appropriate statistical techniques for analysis.