Answer:
The Fibonacci succession is the next infinite succession of natural numbers, each Fibonacci number is the sum of the two previous to it: a hurricane, the galaxies or the roses have this pattern in nature.
Explanation:
The Fibonacci spiral: an approximation of the golden spiral generated by drawing circular arcs connecting the opposite corners of the squares adjusted to the values of the succession; successively attaching squares of side 0, 1, 1, 2, 3, 5, 8, 13, 21 and 34.
<span>inanimate non-living alive dead</span>
Answer:
(a) Gg × Gg; (b) genotypic = 1:2:1, phenotypic = 3:1
Explanation:
a) A cross between two gray seeded plants produces progeny with gray and white seeds in 3:1 ratio (302:98=3:1). This means that the parent plants are heterozygous and each has at least one recessive allele. If the allele "G" is responsible for gray seed and the allele "g" imparts white color to the seeds, the genotype of the heterozygous parents would be "Gg".
b) A cross between two heterozygous gray seeded parents would produce progeny in following ratio:
Genotype ratio= 1 GG: 2 Gg: 1 gg
Phenotype ratio= 3 Gray: 1 white
Answer:
1. The mothers genotype is tt and the fathers is TT, genotypes could be Tt and the phenotype would be tall
<span>11.2 Florida voters. Florida played a key role in the 2000 and 2004 presidential elections. Voter
registration records in August 2010 show that 41% of Florida voters are registered as Democrats
and 36% as Republicans. (Most of the others did not choose a party.) To test a random digit
dialing device that you plan to use to poll voters for the 2010 Senate elections, you use it to call
250 randomly chosen residential telephones in Florida. Of the registered voters contacted, 34%
are registered Democrats. Is each of the boldface numbers a parameter or a statistic?
Answer
41 % of registered voters are Democrats: parameter
36% of registered voters are Republicans: parameter
34% of voters contacted are Democrats: statistic
11.7 Generating a sampling distribution. Let’s illustrate the idea of a sampling distribution in
the case of a very small sample from a very small population. The population is the scores of 10
students on an exam:
The parameter of interest is the mean score ÎĽ in this population. The sample is an SRS of size n =
4 drawn from the population. Because the students are labeled 0 to 9, a single random digit from
Table B chooses one student for the sample.
(a) Find the mean of the 10 scores in the population. This is the population mean ÎĽ.
(b) Use the first digits in row 116 of Table B to draw an SRS of size 4 from this population.
What are the four scores in your sample? What is their mean ? This statistic is an estimate of
ÎĽ.
(c) Repeat this process 9 more times, using the first digits in rows 117 to 125 of Table B. Make a
histogram of the 10 values of . You are constructing the sampling distribution of . Is the
center of your histogram close to ÎĽ?
Answer
(a) ÎĽ = 694/10 = 69.4.
(b) The table below shows the results for line 116. Note that we need to choose 5 digits because
the digit 4 appears twice.
(c) The results for the other lines are in the table; the histogram is shown after the table.</span>
