The answer is Internal Validity.
Internal Validity is high in an experiment. when it demonstrates persuasively that changes in behavior are caused by the independent variable and not by unknown factors.
What is Internal Validity?
- Internal validity is defined as the degree to which the observed results represent the truth in the population under investigation and are not the consequence of methodological flaws.
- Internal validity is the degree of certainty that the causal link being examined is reliable and unaffected by other factors or variables.
- The extent to which study results may be extended (generalized) to other contexts, groups, or events is referred to as external validity.
To learn more about Internal Validity visit:
brainly.com/question/9292757
#SPJ4
Answer:
800 in scientific notation
8 * 10²
This is the distributive property; you're taking the 10 and giving it, or distributing it, to the 4 and the 3. the best way to remember it on sight is just thinking about what "distributing" means.
Answer:
c. 9.5 lb < mu < 11.1 lb.
Step-by-step explanation:
Confidence interval can be stated as M±ME where
- M is the sample mean (10.3)
- ME is the margin of error
margin of error (ME) around the mean can be calculated using the formula
ME=
where
- z is the corresponding statistic in 95% confidence level (1.96)
- s is the standard deviation of the sample (2.4)
- N is the sample size (37)
Putting thesenumbers in the formula we get:
ME=
≈ 0.7733 ≈ 0.8
Then the 95% confidence interval would be 10.3 ± 0.8
