In: Statistics and Probability
SEX: Sex (1=Male 2=Female)
WEIGHT: Body Weight (kg)
1
61.236
1
79.38
1
99.792
1
81.648...
SEX: Sex (1=Male 2=Female) |
WEIGHT: Body Weight (kg) |
1 |
61.236 |
1 |
79.38 |
1 |
99.792 |
1 |
81.648 |
1 |
72.576 |
1 |
61.236 |
1 |
83.916 |
1 |
97.524 |
1 |
88.452 |
1 |
79.38 |
2 |
57.607 |
2 |
64.184 |
2 |
63.958 |
2 |
133.358 |
2 |
62.143 |
2 |
58.968 |
2 |
58.514 |
2 |
61.69 |
2 |
107.503 |
2 |
83.009 |
Open Brain data. Claim: Male and female
subjects have different weight.
9. What test/procedure did you perform?
- a. One-sided t-test
- b. Regression
- c. Two-sided t-test
- d. Confidence interval
10. What is the P-value/margin of error?
- a. 0.450365624
- b. 1.10877E-11
- c. 0.562150232
- d. 0.281075116
- e. None of these
11. Statistical interpretation
- a. The 95% confidence interval does not contain the
averages.
- b. Since P-value is small we can conclude that the two
variables have different averages.
- c. Since P-value is too large we cannot claim that there is
connection between two variables.
- d. Since P-value is small we can claim that there is connection
between two variables.
- e. None of these
12. Conclusion
- a. Yes, I am confident that the averages are different.
- b. No, I cannot claim that the average are different.