man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 We know that 25% of all the grades falls into which of these regions? a. 78.5 to 79.0 b. 78.5 to 86.9 c. 75.8 to 86.9 d. 75.8 to 97.0 e. 78.5 to 97.0 f. 75.8 to 79.0
man loves, as everyone should, to collect and analyze statistical information.
He wishes to find a relationship between how many hours students study and how they do on their statistics tests.
He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test
and how they did on the test, enters the data into a computer for analysis and presents the results below.
ANALYSIS OF HOURS AND GRADES (n = 16):
HOURS GRADES
Mean: 4.2 75.8
St. Dev: 2.3 10.1
Q0 2.0 34.0
Q1 3.2 53.7
Q2 4.7 78.5
Q3 6.3 86.9
Q4 9.0 97.0
Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS
Rsquared = .985 std error = 0.027 F = 8.52 p = .018
We know that 25% of all the grades falls into which of these regions?
| a. |
78.5 to 79.0 |
|
| b. |
78.5 to 86.9
|
|
| c. |
75.8 to 86.9
|
|
| d. |
75.8 to 97.0
|
|
| e. |
78.5 to 97.0 |
|
| f. |
75.8 to 79.0
|
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