TLS Online TPP Program

#Question id: 3312


Hardy-Weinberg equilibrium, the frequencies of the two alleles A1 and A2 is 0.4 and 0.6. When you consider A2 is dominant allele of genetic disorder. The frequency of defected individuals, in population size 1000 is

#Section 2: Evolution
  1. 840     

  2. 360        

  3. 480

  4. 160

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TLS Online TPP Program

#Question id: 16881

#Section 3: Mathematics and Quantitative Ecology

Null and alternative hypotheses are statements about:

TLS Online TPP Program

#Question id: 16882

#Section 3: Mathematics and Quantitative Ecology

A hypothesis test is done in which the alternative hypothesis is that more than 10% of a population is left-handed. The p-value for the test is calculated to be 0.25. Which statement is correct?

TLS Online TPP Program

#Question id: 16883

#Section 3: Mathematics and Quantitative Ecology

Which of the following is NOT true about the standard error of a statistic?

TLS Online TPP Program

#Question id: 16884

#Section 3: Mathematics and Quantitative Ecology

A prospective observational study on the relationship between sleep deprivation and heart disease was done by Ayas, et. al. (Arch Intern Med 2003). Women who slept at most 5 hours a night were compared to women who slept for 8 hours a night (reference group). After adjusting for potential confounding variables like smoking, a 95% confidence interval for the relative risk of heart disease was (1.10, 1.92). Based on this confidence interval, a consistent conclusion would be

TLS Online TPP Program

#Question id: 16885

#Section 3: Mathematics and Quantitative Ecology

Consider a random sample of 100 females and 100 males. Suppose 15 of the females are left-handed and 12 of the males are left-handed. What is the estimated difference between population proportions of females and males who are left-handed (females − males)? Select the choice with the correct notation and numerical value.

TLS Online TPP Program

#Question id: 16886

#Section 3: Mathematics and Quantitative Ecology

A result is called “statistically significant” whenever