Question

O test and Chi Square Complete the following exercises individually followed by a discussion and review of your answers your group 1 Neonates gain (on average) 100 grams/wk in the first 4 weeks. A sample of 25 infants given a new nutrition formula gained 112 grams/wk (on average) with a standard deviation = 30 grams. Is this statistically significant? 2. The mean serum cholesterol level of 25 men ages 65-74 is 231, with a sample standard deviation of So. For 25 women of the same age, the mean serum cholesterol level is 255 with a standard deviation of 49. Are the average serum cholesterol levels statistically different between men and women? 3 2What level of measurement is required for at test? (Hint: There are 2 types of variables inat- test) b. Give an example of data from your clinical practice that would meet the criteria of at-Test. State whether this data would meet the criteria of a one sample t-test, a two independent samples t-test, a two paired sample t-test d Give a rationale as to the type of t-test appropriate to your clinical example 4 The chi-square test is more appropriate than the t test for the comparison of two proportions Why? b. What type of variables are used in chi square analysis? 5. Secondary exposure to carette smoking during childhood is investigated in 108 males diagnosed with lung cancer and 108 males of normal controls Fifteen (15) of the men diagnosed with lung cancer were found to have been exposed to the second hand smoke, whereas only four of the control were exposed Create a 2x2 table to show the results of this study

Answer 1

DOMS Page No. Date Given - *! Neonates gain W=100 grams/wt n=25 * = 112 grams) wt S = 30 grams Hypothesis Ho: =100 H, TOO Test statistics is 7 = x-lo 112-10 80/525 ( undos Ho = 100) 12 6 Here we assume that d= 0.05 :. For X-0.05 Z4 = 1.96 (from statistical table Test criterian & If Izcal Ztab = 74 then we reject the null hypothesis. ie. Ho. Here Lal= 2 7 Ztab= 1.96 - le. wo reject the null hypothesis i'e. Ho. conclusion - here is statistically significant difference,