BIOSTATISTICS CASE STUDY: Tests of Association for Categorical Data Table 1 Characteristics of 399 patients with PTB and univariate analyses of potential predictors of successful treatment Successful Characteristics Patients treatment n (%) n(96) Pvalue* Sex 0.392 Male 293 (73.4) 106 (26.6) 198 (67.6) 77 (72.6) Female Patients with comorbidities 0.018 No comorbidity With comorbidities Unknown 143 (35.9) 255 (64.1) 109 (76.2) 165 (64.7) 1 (100) CXR 0.015 Cavitations No cavitation Unknown 127 (31.9) 271 (68.1) 98 (77.2) 176 (64.9) 1 (100) Previous TB treatment 0.815 Yes No Unknown 22 (5.8) 16 (72.7) 360 (94.2) 246 (68.3) 12 (70.6) 17 DOT 0.002 Yes No Unknown 250 (63.1) 186 (74.4 3 (100) 146 (36.9) 86 (58.9) Diagnostic and treating physicians <0.001 298 (74.7) 221 (74.2) Pulmonologist Non-pulmonologist 102 (25.6) 55 (53.9) Health-care institutions <0.001 105 (26.3) 68 (64.8) Medical centre Regional hospital District hospital and 144 (36.1) 98 (24.6) 399 (100) *15-month follow-up after start of treatment. 92 (63.9) 66 (67.3) Chest specialty hospital52 (13.0) 49 (94.2) primary practitioners Total 275 (68.9) tx2 test. PTB pulmonary tuberculosis; CXR chest X-ray, TB tuberculosis; DOT- directly observed treatment. Page i ot 4

a sample of employees is selected and it is found that 45% own a computer which is it a statistic or a parameter

A basketball coach was trying a new training program with this year’s team. He was hoping to increase the average number of points scored per game and started collecting team data as the season began.  His data of last year show the average number of points per game was 56, with a standard deviation of 7 points.  After the first 9 games of the season, he found the average to be 60 points per game.  What z-score can be derived from this research?  What are the symbols that should be used to state a null hypothesis

The chart shows the waiting times for customers while having winte installed on their cars. Time (min) Frequency 30-35 10 35-40 16 40-45 21 45-50 17 50-55 19 55-60 8 60-65 Q6. a) (A) Use the midpoints of the intervals as the measurements, estimate the mean of the wait times. 2.

A,B AND C

MUST READ PROMPT! Transcription factors are genes that code for proteins that regulate the transcription of multiple other genes. Studies show how transcription factor Zscan1O controls aspects of development in the mice. There was two lines of mice examined, both genetically identical except that one (mutant) carries a mutation in Zscan1O transcription factor The normal line was the control line. They measured the length of one tibia per mouse in mice randomly sampled from each line and recorded the genetic sex of each mouse. Keep in mind! Longer tibias have relation with longer legs. A) which group has the biggest median? B) what are the variables? C) are the sample sizes about the same across all the groups? And why? D) what info would be reported in the prompt above to calculate up to a 95% confidence interval for each group? E) which direction is the F.Mutant group skewed in?

Use this information about the overhead reach distances of adult females: µ = 205.5 cm, σ = 8.6 cm, and overhead reach distances are normally distributed (based on data from th Federal Aviation Administration) If 40 adult females are randomly selected, find the probability that they have a mean overhead reach between 204.0 cm and 206.0 cm.

The amounts of sugar in a serving of children's breakfast cereals is normally distributed with a mean of 8.4 grams and a standard deviation of 2.1 grams.   For a sample of 15 children's breakfast cereals, what is the probability that  the sample mean amount of sugar in a serving for the 15 cereals will be at least than 10 grams?   Show how you calculated your result here (type in what you typed on your calculator or computer, the function used on the calculator/computer with value input, etc) Calculation: ___________   Now type in your final simplified or rounded answer, if necessary round your answer to four decimal places. P(x¯<10 grams) =  ___________

Researchers collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are given below for Fridays on the 6th of a month and Fridays on the following 13th of the same month. Use a 0.05 significance level to test the claim that when the 13th day of a month falls on a Friday, the numbers of hospital admissions from motor vehicle crashes are not affected. Friday the 6th: Friday the 13th: 10 10 13 11 13 69 11