Makakuha ng mga solusyon sa iyong mga katanungan sa Imhr.ca, ang mabilis at tumpak na Q&A platform. Sumali sa aming platform upang kumonekta sa mga eksperto na handang magbigay ng detalyadong sagot sa iyong mga tanong sa iba't ibang larangan. Kumuha ng detalyado at eksaktong sagot sa iyong mga tanong mula sa isang komunidad ng mga eksperto sa aming komprehensibong Q&A platform.

1. A study on how students learn procedural task was conducted among tertiary students. They
were given paper folding instruction sheet and the time they finish a particular object, in minutes,
was observed. Data is presented below:

Male
5.97
6.82
4.58
6.80
10.25
7.53
12.43
6.15
3.91
10.40
11.49
Female
10
4.58
7.48
5.70
9.30
6.75
5.27
7.10
4.10
3.77
12.25
2.92
7
4.83
9.41
.
.
Compute and discuss the mean.
Find the Range, Variance Standard Deviation and Coefficient of variation for the above data.
What does this information tell you about variability of time male and female students finish
the origami?

Sagot :

Mean:

Male: 7.51 minutes

Female: 6.58 minutes

Range:

Male: 8.52 minutes

Female: 9.33 minutes

Variance:

Male: 8.26

Female: 7.78

Standard Deviation:

Male: 2.88

Female: 2.79

Coefficient of Variation:

Male: 38.30%

Female: 42.41%

Analysis:

From the data, it is evident that the mean time taken for male students to finish the origami task is slightly higher than for female students. However, the variability in the time taken by female students is slightly higher as indicated by their higher range, variance, standard deviation, and coefficient of variation. This suggests that female students exhibit more variability in their learning of procedural tasks compared to male students. The higher coefficient of variation for female students indicates that their data points are more spread out from the mean compared to male students. In conclusion, while male students may take slightly longer on average, female students show a wider range of finishing times, implying more diverse learning processes among female students in procedural task learning.