TLS Online TPP Program

#Question id: 10667


Which of the following is correct statement?

A) The average number of offspring that female producing during life time is called NET reproductive rate

B) The number of birth minus the number of death per generation time called called per capita growth rate

C) The average number of female offspring that female producing during life time is called NET reproductive rate

D) The average number of offspring that breeding male and female producing during life time is called NET reproductive rate

#Section 2: Evolution
  1. A and B 
  2. B and C      
  3. A only    
  4. B and D only
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TLS Online TPP Program

#Question id: 16898

#Section 3: Mathematics and Quantitative Ecology

A significance test based on a small sample may not produce a statistically significant result even if the true value differs substantially from the null value. This type of result is known as

TLS Online TPP Program

#Question id: 16899

#Section 3: Mathematics and Quantitative Ecology

Which of the following is not a possible explanation for this finding?

TLS Online TPP Program

#Question id: 16900

#Section 3: Mathematics and Quantitative Ecology

Which of the following is a valid conclusion from this finding?

TLS Online TPP Program

#Question id: 16901

#Section 3: Mathematics and Quantitative Ecology

The best way to determine whether a statistically significant difference in two means is of practical importance is to

TLS Online TPP Program

#Question id: 16902

#Section 3: Mathematics and Quantitative Ecology

A large company examines the annual salaries for all of the men and women performing a certain job and finds that the means and standard deviations are $32,120 and $3,240, respectively, for the men and $34,093 and $3521, respectively, for the women. The best way to determine if there is a difference in mean salaries for the population of men and women performing this job in this company is

TLS Online TPP Program

#Question id: 16903

#Section 3: Mathematics and Quantitative Ecology

One problem with hypothesis testing is that a real effect may not be detected. This problem is most likely to occur when