A clinical trial was conducted to determine the effects of a new drug. The drug company claims that the proportion of the population that would suffer severe side effects would be equal to 0.02. If a random check revealed that actually 40 of the 500 participants suffered severe side effects, can it be concluded, using a 5% level of significance, that the drug company's claimwas understated?

Select one:

a. We do not have enough information to make a decision.

b. No, the drug company's claimwas understated.

c. Yes, the drug company's claimwas understated.

d. Test results are inconclusive.

The table below represents the distribution of the annual number of days over 100 degrees Fahrenheit for Kingston for a sample of 80 years from 1905 to 2004. Calculate correct to the nearest whole number the mean number of days over 100 degrees Fahrenheit. Days Above 100 Degrees Number of Years 0 -9 25 10 - 19 33 20 - 29 14 30 - 39 5 40 - 49 2 50 - 59 O 40OF O 208 F O 16OF O 180FThe table below represents the distribution of the annual number of days over 100 degrees Fahrenheit for Kingston for a sample of 80 years from 1905 to 2004. Calculate the standard deviation given that the mean value is 18F Days Above 100 Degrees Number of Years 0 -9 25 10 - 19 14 20 - 29 33 30 - 39 5 40 - 49 2 50 - 59 11.4OF 32.2OF 129.4.F O 41.3OFIn a recent study, respondents were asked their gender and whether or not they were a cigarette smoker. There were three answer choices: Nonsmoker, Past smoker, and Current smoker. Suppose we want to test for an association between smoking behaviour (non smoker, current smoker, or past smoker) and gender (male or female) using a ChiSquare Test of Independence (we'll use a = 005). Use the output from SPSS below to determine which statement below is TRUE. Do you smoke cigarettes? " Gender Crosstahutatton Count Do you smoke Nonsmoker cigarettes? Past smoker Current smoker Total Chi-Square Tests Asymptotic Signicance Value (2-sided) Pearson Chi-Square .205 Likelihood Ratio .200 Linear-by-Linear Association '29: N of Valid Cases a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 17.76. The chi square critical value is 3.171 There is no relationship between gender and smoking behaviour because the pvalue (0.205) is greater than a= 0.05. The chi square calculated value is 3.217. There is a relationship between gender and smoking behaviour because the p value (0.200) is greater than a: 0.05