Mid Trimester Exam Practice for Biomedical Data Analysis

1 Mid Trimester Exam Buster 1002MSC Introduction to Biomedical Data Analysis Trimester 3 2023 Instructions: ● This practice exam contains 12 MCQ and 5 SAQ ● You have 55 minutes to complete the exam buster. ● Each question MCQ is worth 1 mark, each SAQ is worth 3 marks. ● Read each question carefully and choose the best or most correct answer. Please note that this exam buster does not necessarily represent the format or the types of questions that you will meet in your official exam. It has been prepared by your PASS leaders who are not privy to the official exam and is simply offered as a revision tool.

2 MCQ Question 1: Which value best represents the central value in the following dataset? 6, 7, 7, 7, 8, 8, 9, 9, 10, 90 a) Mean = 7.89 b) Median = 8 c) Mean = 16.1 d) Mode = 7 Question 2: Which of the following graphs has the mean greater than the median? Question 3: Griffith dietician teams are measuring the number of apple Laboratory science students consume each month. The data was normally distributed and the middle 68% of the normal distribution lies between 15.2 and 21.4. What is the mean and standard deviation of the distribution? a) Mean: 18.3, Standard deviation: 3.1 b) Mean: 17.3, Standard deviation: 1.9 c) Mean: 17.3, Standard deviation: 4.1 d) Mean: 19.3, Standard deviation: 2.1 Question 4: Which of the following statements for the normal distribution is false? a) Mean = median = mode b) Point of inflection is mean ±1 standard deviation of the population c) It is mesokurtic d) Total area under the curve is equal to 0

3 Question 5: The height of female patients aged over 65 years taking warfarin from Griffith university hospital is normally distributed with a mean of 158cm. 20% percent of these patients have height greater than 160cm. Find the probability that a female patient chosen at random will have height between 158 cm and 160 cm. a) 20% b) 30% c) 35% d) 60% Question 6: What decision can be made based on the test statistic? (two- tailed test) a) Accept the null, there is a significant difference between the groups b) Reject the null, there is a significant difference between the groups c) Accept the null, there is no significant difference between the groups d) Reject the null, there is no significant difference between the groups Question 7: Griffith researcher investigated the correlation between income level and grade level achieved, and obtained a 95% confidence interval that looks like above. What decision can be made based on the statistic? a) Reject the null: There is a significant difference between the groups b) Accept the null: There is no significant difference between the groups, need to check with another means of decision c) Accept the null: There is a significant difference between the groups d) Reject the null: There is no significant difference between the groups, need to check with another means of decision

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4 Question 8: Which of the following statements is false? a) Power = 1 - β b) When the α value is low, the probability of rejecting a true null hypothesis is high c) Generally when α increases, β value also increases. d) When conducting Levene’s test, the assumption is met when the p-value is smaller than 0.05. Question 9: After Stacey worked on her psychological study for 12 years, she realised that the assumption has been violated (the distribution of data is not normal). What is the least recommended option? a) Remove the data point until the assumption is met b) Use non-parametric test c) Transform (Ex> Log) the data to make it normal d) Proceed with caution Question 10: The Griffith Nutrition team conducted an experiment to see whether there is a difference between the BMI change after 1 month of a low-sugar diet in each of the following patients. The raw data for the test result is presented below. What would be the degree of freedom for the t-test? a) 2 b) 5 c) 4 d) 3

5 Question 11: Danae is trying to test out whether the average score of Intelligence (IQ) tests among Griffith university Aviation students is 100 points. Her data looks like above. Which of the following is false? a) Danae should use Shapiro-Wilk’s test to test the normality of the sample data b) Danae should be using independent t-test as the data is independent to each other c) Danae should be using a one-sample t-test with the null hypothesis of u=100. d) None of the above Question 12: Which row would we use if this software output was generated? a) Equal variances assumed, as the p value (sig) 0.950 is greater than alpha 0.05 the null is accepted b) Equal variances assumed, as the p value (F) 0.004 is less than alpha 0.05 the null is accepted c) Equal variances not assumed, as the p value (sig) 0.950 is greater than alpha 0.05 the null is rejected d) Equal variances not assumed, as the F value (F) 0.004 is less than alpha 0.05 the null is rejected

6 SAQ Question 13: An investigation is conducted to compare the amount of iron (mg) consumed daily by adolescent women in rural Australia relative to the Australian population of 8mg/day. a) What test should be conducted? b) What would the null hypothesis be? c) With a degrees freedom of 28, mean of 6.257 mg and s = 2.35 mg. Assume alpha value of 0.05. What conclusion can be made?

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7 Question 14: A study is conducted to determine the effect of a new antihypertensive drug. The blood pressure of patients was recorded before and after administration of the drug. Patients Systolic BP (mmHg) before Systolic BP (mmHg) after Difference (mmHg) before - after 1 133 126 7 2 129 124 5 3 141 133 8 4 136 130 6 a) What is the hypothesis (two-tailed)? b) What type of test should be used to analyse this data? c) What decision can be made? Where standard deviation of the differences = 7 Question 15: The weight of an orange in an orange farm is normally distributed with mean of 285 grams.

8 a) When the probability of randomly choosing an orange below 311 grams is 90.32%, find the standard deviation. b) Only oranges with weights between 311 grams and 245 grams are considered fit for sale. Find the proportion of oranges fit for sale. (Use only the positive z-score table) Question 16: An independent t-test is conducted to determine if there is a significant difference in intelligence of university students who watch less than 2 hours of television and students who watch 2 or more hours of television each week. The difference between means is 1.50 and the SE of the difference between means is 0.89. The intelligence of 14 students

9 were tested for each screen time category tested. What is the bracketed p-value and what decision can be made about the null hypothesis? Question 17: An independent t-test is conducted to determine if there is a significant difference in intelligence of university students who watch less than 2 hours of television and students who watch 2 or more hours of television each week. The difference between means is 1.50 and the SE of the difference between means is 0.89. The intelligence of 14 students were tested for each screen time category tested. With an alpha value of 0.05, construct and interpret the confidence interval. What decision can be made?

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