Statistics-Exposure to medicine ‘x’ during pregnancy was investigated

Exposure to medicine ‘x’ during pregnancy was investigated for 108 mothers of children with congenital defects and 108 mothers of normal controls. The researchers examined exposure to medicine ‘x’ during the first trimester. Eighteen mothers of the affected children were found to have been exposed, whereas only six of the controls were exposed.

1)What is the correct test statistic that you calculated with the test above?

options:

12.13
6.75
1.52
9.53

1)In order to measure if there is a statistical association between medicine ‘x’ and congenital defects, what is the appropriate statistical test?

options:

Pearson correlation coefficient
Paired t-test
ANOVA
Chi-square test of independence
Chi-square goodness of fit test

3) What is the critical value for this test?

options:

1.32
2.71
3.84
6.63
0.455

4) What is the p-value?

options:

P<0.02
0.04<P<0.05
0.1<P<0.2
P=0.000

What is your conclusion?

options:

Reject H0: Medicine x is not related to the defects.
Reject H0: Medicine x is related to the defects.
Fail to reject H0: Medicine x is not related to the defects.
Fail to reject H0: Medicine x is related to the defects
Medicine x caused the defects.

Which of the following is true for a disease which has a short duration and is highly fatal?

options:

Incidence rates will be similar to mortality rates.
Incidence rates will not be related to mortality rates.
Mortality rates will be much higher than incidence rates.
Incidence rates will be much higher than mortality rates.

Read the statement carefully and then answer the following question. “The NAAT test used to screen for Chlamydia detects as many as 91 percent of infections in women.” Sensitivity of the screening test for Chlamydia in women is 91%. True or false?

options:

True
False

Read the statement carefully and then answer the following question. “The NAAT test used to screen for Chlamydia detects as many as 91 percent of infections in women.” Proportion of false negatives is 9%. True or false?

 
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