What is the name of the probability distribution followed by the following random variable k or n? a. The world population has 100 million diabetes patients, total population is 7 billions. 5 people were randomly chosen to be sent to planet Mars. Out of five, k of them has diabetes. b. The world population has 10 Rare DiseaseX patients, total population is 7 billions. There are 1 billion people in China. k of them have Rare DiseaseX. c. A genome encodes 500 miRNAs and 10000 genes, all of them are transcribed. 20 interesting transcripts were detected in an experiment. k of them are miRNA transcripts. d. A researcher wants to choose 5 random miRNAs from a genome which encodes 500 miRNAs and 10000 genes, so genome can produce 10500 types of transcripts. She chooses a total of n transcripts to be able to find 5 miRNAs.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
What is the name of the probability distribution followed by the following random variable k or n?
a. The world population has 100 million diabetes patients, total population is 7 billions. 5 people were randomly chosen to be sent to planet Mars. Out of five, k of them has diabetes.
b. The world population has 10 Rare DiseaseX patients, total population is 7 billions. There are 1 billion people in China. k of them have Rare DiseaseX.
c. A genome encodes 500 miRNAs and 10000 genes, all of them are transcribed. 20 interesting transcripts were detected in an experiment. k of them are miRNA transcripts.
d. A researcher wants to choose 5 random miRNAs from a genome which encodes 500 miRNAs and 10000 genes, so genome can produce 10500 types of transcripts. She chooses a total of n transcripts to be able to find 5 miRNAs.
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