The Excel output is:
The Excel formulas are:
The answer is:
Observed | Total | fo - fe | ||||||
45 | 21 | 17 | 83 | 6.982517 | 5.618881 | -12.6014 | ||
33 | 13 | 24 | 70 | 0.937063 | 0.027972 | -0.96503 | ||
34 | 12 | 39 | 85 | -4.93357 | -3.75175 | 8.685315 | ||
19 | 7 | 22 | 48 | -2.98601 | -1.8951 | 4.881119 | ||
Total | 131 | 53 | 102 | 286 | ||||
Expected | Total | (fo - fe)^2/fe | ||||||
38.01748 | 15.38112 | 29.6014 | 83 | 1.282451 | 2.052635 | 5.364451 | ||
32.06294 | 12.97203 | 24.96503 | 70 | 0.027386 | 6.03E-05 | 0.037304 | ||
38.93357 | 15.75175 | 30.31469 | 85 | 0.625169 | 0.893591 | 2.488388 | ||
21.98601 | 8.895105 | 17.11888 | 48 | 0.405543 | 0.403753 | 1.391757 | ||
Total | 131 | 53 | 102 | 286 | ||||
Level | 0.05 | |||||||
R | 4 | |||||||
C | 3 | |||||||
DF | 6 | |||||||
CV | 12.59159 | |||||||
X² | 14.97249 | |||||||
P-value | 0.020472 |
Since the p-value (0.020472) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that admission status is not independent of the type of community in which an applicant resides.
The director of admissions at a state college is interested in seeing if admissions status (admitted,...
TABLE 12-11 The director of admissions at a state college is interested in seeing if admissions status (admitted, waiting list, denied admission) at his college is independent of the type of community in which an applicant resides. He takes a sample of recent admissions decisions and forms the following table: Admitted Wait ADMITTED WAIT LIST DENIED TOTAL URBAN 45 21 17 83 RURAL 33 13 24 70 SUBURBAN 34 12 39 85 TOTAL 112 46 80 238 He will use...
A college admissions office needs to compare scores of students that take the SAT with those who take the The college applicants who took the SAT, had a mean of 1020 and a standard deviation of 194. Those who The college applicants who took the ACT, had a mean 21 and a standard deviation of 5.4. D C Applicant SAT ACT X z-score = X 950 1320 19 28 284 2 132-1o2 17 Calculate the standardized z-score for Applicant A...
#8. Now look at the relationship between marital status (MSTAT) and college graduation using a chi-square test. What would you conclude? A. Married people are more often college graduates than singles B. College graduates are more often married than non-graduates C. There is not a significant relationship between marital status and college graduation D. Both “a” and “b” are true Using alpha = .05 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Marital Status *...
A random sample of students from a commuter college were surveyed and asked about their employment status. The results are recorded in the table below. Test the claim that the frequencies are evenly distributed throughout the categories. Use α = .05 . # Hours per week 0-9 10-19 20-29 30-39 40+ Number of students 28 15 19 22 24 Find the value of the test statistic. (Round to the nearest ten-thousandth.)
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.023501 +.004932 where 21 = high-school grade point average 22 = SAT mathematics score y = final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA of SS M S F...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.023571 +.004922 where 21 = high-school grade point average 22 = SAT mathematics score y = final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA SS MS Significance F Regression...
The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.4053 +.0235x1 +.0049.02 where 21 = high-school grade point average 22 = SAT mathematics score y = final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. a. Complete the missing entries in...
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1. The admissions officer at a small college compares the scores on the Scholastic Aptitude Test (SAT) for the school's male and female applicants. A random sample of 15 male applicants results in a SAT scoring mean of 1100 with a standard deviation of 53. A random sample of 5 female applicants results in a SAT scoring mean of 1218 with a standard deviation of 30. Using this data, find the 90% confidence interval for the true mean difference between...
eBook The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y=-1.4053+.023541 +.004922 where 21 = high-school grade point average 22 = SAT mathematics score y-final college grade point average Round your answers to 4 decimal places. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA df F I Significance F SS LMS 1.7621 Regression...