Preschool: Just the Boys Refer to Exercise 7.77 for information. This data set records results just for the boys. a. Find and compare the percentages that graduated for each group, descriptively. Does this suggest that preschool was linked with a higher graduation rate? b. Verify that the conditions for a two-proportion confidence interval are satisfied. c. Indicate which one of the following statements is correct. i. The interval does not capture 0, suggesting that it is plausible that the proportions are the same. ii. The interval does not capture 0, suggesting that it is not plausible that the proportions are the same. iii. The interval captures 0, suggesting that it is plausible that the population proportions are the same. iv. The interval captures 0, suggesting that it is not plausible that the population proportions are the same. d. Would a 99 % confidence interval be wider or narrower?
Preschool: Just the Boys Refer to Exercise 7.77 for information. This data set records results just for the boys. a. Find and compare the percentages that graduated for each group, descriptively. Does this suggest that preschool was linked with a higher graduation rate? b. Verify that the conditions for a two-proportion confidence interval are satisfied. c. Indicate which one of the following statements is correct. i. The interval does not capture 0, suggesting that it is plausible that the proportions are the same. ii. The interval does not capture 0, suggesting that it is not plausible that the proportions are the same. iii. The interval captures 0, suggesting that it is plausible that the population proportions are the same. iv. The interval captures 0, suggesting that it is not plausible that the population proportions are the same. d. Would a 99 % confidence interval be wider or narrower?
Solution Summary: The author identifies whether the conditions required for a two-proportion confidence interval are satisfied or not.
Preschool: Just the Boys Refer to Exercise 7.77 for information. This data set records results just for the boys.
a. Find and compare the percentages that graduated for each group, descriptively. Does this suggest that preschool was linked with a higher graduation rate?
b. Verify that the conditions for a two-proportion confidence interval are satisfied.
c. Indicate which one of the following statements is correct.
i. The interval does not capture 0, suggesting that it is plausible that the proportions are the same.
ii. The interval does not capture 0, suggesting that it is not plausible that the proportions are the same.
iii. The interval captures 0, suggesting that it is plausible that the population proportions are the same.
iv. The interval captures 0, suggesting that it is not plausible that the population proportions are the same.
d. Would a
99
%
confidence interval be wider or narrower?
08:34
◄ Classroom
07:59
Probs. 5-32/33
D
ا.
89
5-34. Determine the horizontal and vertical components
of reaction at the pin A and the normal force at the smooth
peg B on the member.
A
0,4 m
0.4 m
Prob. 5-34
F=600 N
fr
th
ar
0.
163586
5-37. The wooden plank resting between the buildings
deflects slightly when it supports the 50-kg boy. This
deflection causes a triangular distribution of load at its ends.
having maximum intensities of w, and wg. Determine w
and wg. each measured in N/m. when the boy is standing
3 m from one end as shown. Neglect the mass of the plank.
0.45 m
3 m
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
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