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(a)
To explain:To explain whether the number of injuries sustained in fall is a Discrete or a numerical variable.
(a)
Answer to Problem 1PP
It is a discrete variable.
Explanation of Solution
A variable is numerical when measurements of individuals are quantitative and feature magnitude. These variables are numbers. A numerical variable gives a dimension or a number, a numerical meaning. A continuous variable are those whose price is taking with the aid of measuring. A discrete variable is those whose price is taking with the aid of counting.Number of injuries sustained in a fall is discrete variable. Discrete numerical data are available indivisible units. Discrete numerical data are often analysed as though they were continuous, if there are many feasible values.It has a finite amount of possible values that do not have an inherent order.
(b)
To explain:To explain whether the fractions of the birds which were available in a bigger sample infected with the flu virus is a discrete or a numerical variable.
(b)
Answer to Problem 1PP
It is a discrete variable.
Explanation of Solution
A variable is numerical whilst measurements of people are quantitative and have magnitude. These variables are numbers. A numerical variable gives a dimension or number, a numerical meaning. A continuous variable are those whose cost is taking with the aid of measuring. A discrete variable is those whose fee is taking with the useful resource of measuring. Fraction of birds in a big pattern infected with avian flu virus is achieved by countingis discrete variable. Discrete numerical facts come in indivisible units. Discrete numerical variables are often analysed as though they were continuous, if there may be many viable values. It has a finite quantity of possible values that don’t have an inherent order.
(c)
To explain:To explain whether the amount of crimes done by an individual who was randomly sampled is a discrete or a numerical variable.
(c)
Answer to Problem 1PP
It is a discrete variable.
Explanation of Solution
A variable is numerical while measurements of individuals are quantitative and have magnitude. These variables are numbers. A numerical variable offers a dimension or variety, a numerical meaning. A continuous variable are the ones whose price is taking with the resource of measuring. A discrete variable are the once whose rate is taking with the aid of counting. Amount of crimes completed by means of a randomly sampled character is completed by using counting is discrete variable. Discrete numerical records come in indivisible units. Discrete numerical variables are often analysed as even though they were continuous, if there’s a huge variety of possible values. It has a finite amount of feasible values that don’t have an inherent order.
(d)
To explain: To explain whether Log values belonging to the mass of the body is a discrete or a numerical variable.
(d)
Answer to Problem 1PP
It is a continuous variable.
Explanation of Solution
A variable is numerical while measurements of individuals are quantitative and have magnitude. These variables are numbers. A numerical variable offers a dimension or variety, a numerical meaning. Continuous variable is inside the maximum minimum value.
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Chapter 1 Solutions
The Analysis of Biological Data
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- A television news channel samples 25 gas stations from its local area and uses the results to estimate the average gas price for the state. What’s wrong with its margin of error?arrow_forwardYou’re fed up with keeping Fido locked inside, so you conduct a mail survey to find out people’s opinions on the new dog barking ordinance in a certain city. Of the 10,000 people who receive surveys, 1,000 respond, and only 80 are in favor of it. You calculate the margin of error to be 1.2 percent. Explain why this reported margin of error is misleading.arrow_forwardYou find out that the dietary scale you use each day is off by a factor of 2 ounces (over — at least that’s what you say!). The margin of error for your scale was plus or minus 0.5 ounces before you found this out. What’s the margin of error now?arrow_forward
- Suppose that Sue and Bill each make a confidence interval out of the same data set, but Sue wants a confidence level of 80 percent compared to Bill’s 90 percent. How do their margins of error compare?arrow_forwardSuppose that you conduct a study twice, and the second time you use four times as many people as you did the first time. How does the change affect your margin of error? (Assume the other components remain constant.)arrow_forwardOut of a sample of 200 babysitters, 70 percent are girls, and 30 percent are guys. What’s the margin of error for the percentage of female babysitters? Assume 95 percent confidence.What’s the margin of error for the percentage of male babysitters? Assume 95 percent confidence.arrow_forward
- You sample 100 fish in Pond A at the fish hatchery and find that they average 5.5 inches with a standard deviation of 1 inch. Your sample of 100 fish from Pond B has the same mean, but the standard deviation is 2 inches. How do the margins of error compare? (Assume the confidence levels are the same.)arrow_forwardA survey of 1,000 dental patients produces 450 people who floss their teeth adequately. What’s the margin of error for this result? Assume 90 percent confidence.arrow_forwardThe annual aggregate claim amount of an insurer follows a compound Poisson distribution with parameter 1,000. Individual claim amounts follow a Gamma distribution with shape parameter a = 750 and rate parameter λ = 0.25. 1. Generate 20,000 simulated aggregate claim values for the insurer, using a random number generator seed of 955.Display the first five simulated claim values in your answer script using the R function head(). 2. Plot the empirical density function of the simulated aggregate claim values from Question 1, setting the x-axis range from 2,600,000 to 3,300,000 and the y-axis range from 0 to 0.0000045. 3. Suggest a suitable distribution, including its parameters, that approximates the simulated aggregate claim values from Question 1. 4. Generate 20,000 values from your suggested distribution in Question 3 using a random number generator seed of 955. Use the R function head() to display the first five generated values in your answer script. 5. Plot the empirical density…arrow_forward
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