The investigation that was carried out by the researcher illustrates a one-shot case study.
<h3>What is a one-shot case study?</h3>
It should be noted that a one-shot case study simply means a research design where a single group is observed after experiencing some treatment on a single occasion.
Since the researcher sits in the quad and records the number of minutes each student puts into studying, it's a one-shot case study.
Here, the single group of individuals are selected for observation.
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The blueprint length (b) will be
.. (6 m)/(9 m) = b/(48 mm)
.. b = (48 mm)*2/3
.. b = 32 mm
X= -36
1/4x-2=-11 Add 2 to both sides
1/4x=-9 multiply each side by 4
x=-36
Answer:
a) 66.1 < μ < 82.7
b) 71.9 < μ < 97.7
c) D. No, because the two confidence intervals overlap, we cannot conclude that the two population means are different.
Step-by-step explanation:
Confidence interval is given by the formula
M±t×(
) where
- M is the sample mean
- t is the corresponding t value for 95 confidence level
- s is the sample standard deviation
- N is the sample size
<u>a. Construct a 95% confidence interval estimate of the mean pulse rate for males.</u>
For men:
M=74.4 t=2.262 s=11.6207 N=10 then confidence interval is:
74.4±2.262×(
) ≈ 74.4±8.3
<u>b. Construct a 95% confidence interval estimate of the mean pulse rate for females.</u>
For women:
M=84.8 t=2.262 s=18.0488 N=10 then confidence interval is:
84.8±2.262×(
) ≈ 84.8±12.9
<u>c. Compare the preceding results. Can we conclude that the population means for males and females are different?</u>
Difference of Population means for males and females are not statistically significant, since confidence intervals overlap.
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