Discrete and a continuous random variable.

Assignment Help Basic Statistics
Reference no: EM13102796

1.) Explain the difference between a discrete and a continuous random variable. Give two examples of each type of random variable.

2.) Determine whether each of the distributions given below represents a probability distribution. Justify your answer.
a)

x 1 2 3 4
P (x) 1/8 1/8 3/8 1/8

b)

x 3 6 8
P (x) 0.2 0 1

c)

x 20 30 40 50
P (x) 0.3 0.2 0.1 0.4

3.)Four cards are selected, one at a time, from a standard deck of 52 cards. Let x represent the number of aces drawn in a set of 4 cards.

a. If this experiment is completed without replacement, explain why x is not a binomial random variable.

b. If this experiment is completed with replacement, explain why x is a binomial random variable.

4.) How does the bell-shaped curve for the sampling distribution of sample means for samples of size n = 100 compare to the bell-shaped curve for the sampling distribution of sample means for samples of size n = 60?

5.) What are the characteristics of the normal distribution? Why is the normal distribution important in statistical analysis? Provide an example of an application of the normal distribution.

6.) In your own words describe the standard normal distribution. Explain why it can be used to find probabilities for all normal distributions.

7.) Explain why the normal distribution can be used as an approximation to the binomial distribution. What conditions must be met to use the normal distribution to approximate the binomial distribution? Why is a correction for continuity necessary?

8.) Consider a binomial distribution with 15 identical trials, and a probability of success of 0.5

a. Find the probability that x = 2 using the binomial tables
b. Use the normal approximation to find the probability that x = 2

9.) The diameters of oranges in a certain orchard are normally distributed with a mean of 5.26 inches and a standard deviation of 0.50 inches.
a. What percentage of the oranges in this orchard have diameters less than 4.5 inches?

b. What percentage of the oranges in this orchard is larger than 5.12 inches?

c. A random sample of 100 oranges is gathered and the mean diameter obtained was 5.12. If another sample of 100 is taken, what is the probability that its sample mean will be greater than 5.12 inches?

d. Why is the z-score used in answering (a), (b), and (c)?

e. Why is the formula for z used in (c) different from that used in (a) and (b)?
10.) Assume that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches. A random sample of 16 heights is obtained.

a. Describe the distribution of x, height of the college student.

b. Find the proportion of male college students whose height is greater than 70 inches.

c. Describe the distribution of , the mean of samples of size 16.

d. Find the mean and standard error of the distribution.

e. Find P ( > 70)

f. Find P ( < 67)

Reference no: EM13102796

Questions Cloud

Data analysis and definition : What is the business implications that can be drawn from the process of building and comparing these models, and has this practice helped resolve the business issue? Why or why not?
Differentiate between influences of heredity and environment : Differentiate between influences of heredity and environment on his/her psychological development. Ensure to specify which area of psychological development (moral, emotional, etc.).
Probability of randomly selected bag having chocolate chips : The number of choco chips in an 18 ounce bag of chocolate chip cookies is approximately normally distributed with a mean of 1256 and a standard deviation of 129 chips, What is the probability that a randomly selected bag contains fewer than 1000 c..
Calculate the heading : You are piloting a small plane that can maintain an air speed of 136.5 kt (knots, or nautical miles per hour) and you want to fly due north (azimuth = 000°) relative to the ground.
Discrete and a continuous random variable. : Explain the difference between a discrete and a continuous random variable. Give two examples of each type of random variable.
How much energy was released during the explosion : A 50 kg projectile is fired over level land at an angle of 30 degrees above the horizontal with a muzzle velocity of 210 m/s. At the highest point in its trajectory it explodes into two fragments, one of twice as much mass as the other. The less m..
Basic study of cardiovascular risk factors : A recent study of cardiovascular risk factors reports that 30% of adults meet the criteria of hypertension. if 15 adults are assessed, what is the probabiliy that?
What is the magnitude of the third force : Three forces act on an object. A 2 N force acts due east and a 3 N force acts due north. If the net force on the object is zero, what is the magnitude of the third force?
Binomial probability analysis : Consider a random sample of six families who are asked if their children have an influence on their vacation destination.

Reviews

Write a Review

Basic Statistics Questions & Answers

  Determine dependent and independent variables

Give an example of how Regression Analysis can be used in your work to make a business decision. Give the dependent and independent variables.

  Hypothesis to test the claim averaging

Formulating null and alternative hypothesis to test the claim averaging about $5000.

  Difference in the mean times

Below are the sample times in minutes. At the .05 significance level, can we conclude that there is a difference in their mean times?

  Show the probability mass function

Select a random variable to represent the category. Produce a probability mass function for that variable, and use it to compute the mean, the median and the variance of the data in the data set. Show the probability mass function, both in tabular..

  Determining discrete distributions

Share 1 real-world binomial distribution situation and 1 real-world Poisson distribution situation. Be sure to explain why each example is defined as binomial or Poisson.

  Proportion of ball bearings

Ball bearings are manufactured with a diameter of 5 mm. But the process has variation, so the diameter is normally distributed with a mean of 5 mm and a standard deviation of .02 mm. A) What proportion of ball bearings are more than 5.03 mm?

  Continuous sampling since abnormal condition began

What is the probability that in a sample of 10 pieces: 5 or more will be defective?

  Question on poisson distribution

An insurance company has gathered the following information regarding the number of accidents reported per day over a period of 100 days.

  Mean and standard error

Calculate the mean and the standard error of the sampling distribution of the sample means. Also, find the mean and standard error of the sampling distribution for samples of size 5.

  Significant effect on eating behavior

Can the researcher conclude that humidity has a significant effect on eating behavior? Use a two-tail test with α = .05.

  Determining average number of calls

The number of phone calls coming into a switchboard in the next five minutes will either be 0, 1, or 2. The probabilities are the same for each of these (1/3).

  Confidence interval for the true proportion of voters

Find a 95% confidence interval for the true proportion of voters who approve of the way the government is being run.

Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd