Question
Gender Alcohol Exercise SQI GPA Male Yes 9 15.5 3.85 Male Yes 11 11.0 5.46 Female No 5 11.1 3.28 Female No 6 13.9 2.37
Gender | Alcohol | Exercise | SQI | GPA |
Male | Yes | 9 | 15.5 | 3.85 |
Male | Yes | 11 | 11.0 | 5.46 |
Female | No | 5 | 11.1 | 3.28 |
Female | No | 6 | 13.9 | 2.37 |
Female | Yes | 8 | 9.9 | 4.63 |
Male | Yes | 11 | 14.5 | 4.58 |
Male | Yes | 9 | 10.6 | 4.96 |
Male | Yes | 11 | 15.1 | 1.02 |
Female | No | 8 | 12.4 | 4.33 |
Female | Yes | 10 | 11.5 | 3.96 |
Male | No | 8 | 10.6 | 5.83 |
Male | Yes | 7 | 11.5 | 6.12 |
Male | Yes | 10 | 10.8 | 2.20 |
Male | Yes | 11 | 12.5 | 2.93 |
Male | Yes | 9 | 16.4 | 4.52 |
Female | Yes | 2 | 14.1 | 4.50 |
Male | Yes | 8 | 15.3 | 1.63 |
Female | No | 6 | 18.0 | 3.09 |
Female | No | 5 | 9.7 | 3.92 |
Male | Yes | 11 | 10.5 | 3.10 |
Female | No | 8 | 13.7 | 5.42 |
Male | Yes | 8 | 14.9 | 2.03 |
Female | No | 7 | 10.9 | 5.90 |
Male | No | 10 | 14.5 | 3.25 |
Male | Yes | 7 | 11.5 | 5.21 |
Female | No | 9 | 11.3 | 3.31 |
Male | Yes | 9 | 11.6 | 2.51 |
Male | No | 10 | 15.6 | 3.88 |
Male | Yes | 10 | 12.3 | 4.33 |
Male | Yes | 11 | 12.2 | 4.49 |
Female | No | 6 | 15.6 | 4.16 |
Male | Yes | 11 | 11.0 | 4.99 |
Male | Yes | 11 | 13.5 | 5.76 |
Female | No | 7 | 11.0 | 3.54 |
Female | Yes | 6 | 8.1 | 4.23 |
Male | Yes | 8 | 17.6 | 3.66 |
Male | Yes | 9 | 9.1 | 6.02 |
Male | Yes | 12 | 13.5 | 3.56 |
Male | Yes | 10 | 18.8 | 3.79 |
Female | No | 8 | 12.8 | 4.59 |
Male | Yes | 8 | 15.4 | 3.20 |
Male | Yes | 9 | 12.6 | 0.98 |
Male | Yes | 8 | 15.8 | 3.43 |
Male | Yes | 8 | 14.2 | 5.68 |
Female | No | 9 | 14.1 | 4.55 |
Female | No | 6 | 14.7 | 3.16 |
Female | No | 7 | 14.6 | 5.41 |
Female | No | 4 | 10.1 | 4.31 |
Female | Yes | 12 | 10.4 | 1.85 |
Female | No | 7 | 11.2 | 3.87 |
Male | Yes | 10 | 11.9 | 2.75 |
Male | Yes | 10 | 8.2 | 6.77 |
Male | Yes | 12 | 17.5 | 5.68 |
Male | Yes | 11 | 8.4 | 5.26 |
Female | No | 10 | 16.1 | 3.85 |
Male | No | 7 | 13.4 | 6.07 |
Male | Yes | 10 | 11.2 | 6.15 |
Male | Yes | 10 | 17.5 | 4.75 |
A study investigated the impact of sleep deprivation on academic performance in university medical students. An individual's sleep habit was measured using a sleep quality index. A higher index number indicates poorer sleep quality. Academic performance was measured by the student's cumulative grade point average. In addition, the student's physical activity, as measured by the average time for exercise per week, and their behavioural risk factors such as alcohol use, smoking habit and coffee use were recoded.
The data contains the following variables:
GenderGender of the student (Male/Female)
Alcohol Whether the student drinks alcoholic beverages (Yes/No)
ExerciseAverage hours of exercise per week
SQISleep Quality Index (a higher index number indicates poorer sleep quality)
GPACumulative Grade Point Average
Question 1
The researchers claim that female students have better sleep quality than male students. The appropriate statistical test for their claim is a
Two-sample t-test
Chi-square test
Correlation test
Two-way ANOVA test
Question 2
Suppose F and M define the population mean sleep quality indices for females and males, respectively. The appropriate null and alternative hypotheses to test the claim in Question 1 are
H0:F>MvsH1:FM
H0:F=MvsH1:FM
H0:F=MvsH1:F>M
H0:F=MvsH1:F Question 3 The test of the hypotheses in Question 2 indicates that there is moderate evidence to suggest that female students have better sleep quality than male students (p = 0.024) weak evidence to suggest that female students have better sleep quality than male students (p = 0.077) no evidence to suggest that female students have better sleep quality than male students (p = 0.148) no evidence to suggest that female students have better sleep quality than male students (p = 0.296) Question 4 In general, if the study uses a smaller sample size, the probability of a Type II error will decrease stay the same either increase or decrease increase Question 5 The association between academic performance and sleep quality is modelled using a simple linear regression. The appropriate population regression equation is GPA=0+1SQI2+U SQI=0+1GPA2+U SQI=0+1GPA+U GPA=0+1SQI+U Question 6 The slope coefficient of the estimated linear regression equation in Question 5 is -0.115 -0.084 -0.071 5.610 Question 7 The lower bound of a 95% confidence interval for the slope coefficient in Question 5 is -11.353 -0.294 -0.250 -0.228 Question 8 Using the model in Question 5, the researcher examines whether there is a statistically significant negative linear relationship between academic performance and sleep quality. The researcher tests H0:0=0vsH1:0>0 H0:1=0vsH1:10 H0:1=0vsH1:1<0 H0:1=0vsH1:1>0 Question 9 Using the model in Question 5, the p-value for the hypothesis test in Question 8 is 0.046 0.174 0.276 0.303 Question 10 The association between academic performance and sleep quality may be obscured by the students' engagement in physical activity and behavioural risk factors. Assuming there are no interactions, fit a multiple regression model for academic performance using sleep quality, exercise and alcohol usage as predictors. The estimated coefficient for the variable Exercise in this model is -0.0192 -0.0142 -0.0070 0.0035 Question 11 In the fitted regression model in Question 10, the degrees of freedom used to test the statistical significance of the population parameter corresponding to the variable Exercise is 50 54 55 57 Question 12 Based on the model in Question 10, you can conclude that there is weak evidence to suggest that academic performance is associated with exercise after taking into account the effect of sleep quality and alcohol usage (p = 0.094) no evidence to suggest that academic performance is associated with exercise after taking into account the effect of sleep quality and alcohol usage (p = 0.703) no evidence to suggest that academic performance is associated with exercise after taking into account the effect of sleep quality and alcohol usage (p = 0.822) no evidence to suggest that academic performance is associated with exercise after taking into account the effect of sleep quality and alcohol usage (p = 0.971) Question 13 Based on the fitted regression model in Question 10, the estimated cumulative grade point average of a student who drinks alcohol, has a sleep quality index of 15.5, and has an average 9 hours of physical exercise per week is 3.76 3.92 4.07 4.18 Question 14 A plot of residuals against fitted values for the model in Question 10 suggests that the errors are right skewed the errors are correlated the errors are normally distributed the errors have equal variance Question 15 The regression sum of squares of the fitted model in Question 10 is 5.15 5.47 97.28 102.75 Do from question 10 to 15 only
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