• Q : Find the percentage of men....
    Basic Statistics :

    Find the percentage of men meeting the hight requirement is. If the height requirements are changed to exclude on tallest 5% of men and the shortest 5% of women what are the new height requirements

  • Q : Correct null hypothesis and alternative hypothesis....
    Basic Statistics :

    For the following claim find the null and alternative hypothesis, test statistic, P=value, critical value, and draw a conclusion. Assume that a simple random sample has been selected from a normall

  • Q : Pdf of an exponential random variable....
    Basic Statistics :

    Let X and Y be independent random variables with X~ exp(2) and Y~exp(3) where the pdf of an exponential random variable is f(x)=(1/beta)e^-x/beta. Compute P(X<Y) and P(Y<X)

  • Q : Approximation of the binomial distribution....
    Basic Statistics :

    Identify the null hypothesis, alternative hypothesis, test statistic, p-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the {-value method. U

  • Q : Rate attractiveness of photograph....
    Basic Statistics :

    A social researcher believes the color red causes men's attraction to women to increase as well as women's attraction to men. The color does not appear to have an effect on same sex attractions. A s

  • Q : Conduct a study on the self-esteem....
    Basic Statistics :

    A researcher wishes to conduct a study on the self-esteem levels of adolescents. She believes that male adolescents have higher self-esteem than female adolescents.

  • Q : Joint probability mass function....
    Basic Statistics :

    The joint probability mass function of X and Y, p(x,y), is given by

  • Q : Mean height of the husbands....
    Basic Statistics :

    In a study of 1000 two parent families, a researcher found the mean height of the husbands was 68 inches with a standard deviation of 2.7 inches. The mean height of the wives was 63 inches with a st

  • Q : Water consumption in a dormitory....
    Basic Statistics :

    You are in charge of resucing the water consumption in a dormitory at a University, and, thus, have been charged with evaluating how long it takes students to shower.

  • Q : Determine the performance of two varieties....
    Basic Statistics :

    An experiment was conducted to determine the performance of two varieties of wheat at seven randomly chosen farms.  Two fields are set up at every farm, and yield of the crop was measured.

  • Q : Appropraite distribution to calculate an approximate value....
    Basic Statistics :

    The random variable X has a binomial distribution with parameters p=0.20 and p=0.156. Use an appropraite distribution to calculate an approximate value for the probability P(X=17).Show work and expl

  • Q : Probability of getting the flu....
    Basic Statistics :

    Suppose 60% of the people in town will get exposed to flu in the next month. If you are exposed and not inoculated then the probability of getting the flu is 80%,

  • Q : Approximate distribution of the total number of animals....
    Basic Statistics :

    The mean number of animals in a forest of a certain variety is 40, and the standard deviation is 4. A random sample of 80 animals is taken. What is the approximate distribution of the total number o

  • Q : Standard deviation of the random variable....
    Basic Statistics :

    Let 18 and 10 be the standard deviations of the independent random variables X and Y, respectively. What is the standard deviation of the random variable U = X - Y. Explain and show work?

  • Q : Mean and the variance....
    Basic Statistics :

    The random variable X has mean 9 and standard deviation 8. What is the mean and the variance of 2X,respectively? Explain and show your work.

  • Q : Compute the mean and variance of the number....
    Basic Statistics :

    Let U be a uniform (0, 1) random variable. Suppose that n trials are to be performed and that conditional on U = u these trials will be independent with a common success probability u. Compute the m

  • Q : Calculate the value of the distance....
    Basic Statistics :

    Suppose that the distance from one end of a pole and the other be modeled by a normal distribution with mean 47.5 and standard deviation of 0.5. Calculate the value of the distance that is exceeded

  • Q : Find the joint pdf....
    Basic Statistics :

    2) If f (x1,x2 ) = 2*exp (-x1 - x2) for 0<x1<x2<infinity. Find the joint pdf for Y1=2X1 and Y2 = X2 - X1. Are Y1 and Y2 independent.

  • Q : Lognormal random variable with parameters....
    Basic Statistics :

    The length of time (in seconds) that a user views a page on a Web site before moving to another page is a lognormal random variable with parameters mean= 0.5 and variance (w^2)= 1

  • Q : Contamination particle size....
    Basic Statistics :

    Suppose that contamination particle size (in micrometers) canbe modeled as f(x) = 2x-3 for 1<x and f(x) = 0 for x<= 1

  • Q : Price of a random sample....
    Basic Statistics :

    The listing price of a random sample of two-year-old Honda Civics was obtained for four cities in the United States. The data are summarized in the table below. Assume that prices of two-year-old Ho

  • Q : Proportion of corks....
    Basic Statistics :

    What proportion of corks produced by this machine are defective? (Round the answer to four decimal places.)

  • Q : Relationship between the opinion and the location....
    Basic Statistics :

    Is there a relationship between the opinion and the location of the resident at a level of significance of 0.05?

  • Q : Estimate the mean of the time-to-failure....
    Basic Statistics :

    Note that Network A fails if (component 1 or3 fails) and(component 2 or4 fails); Network B fails if (component 1and2 fail) or (component 3 and4 fails). (i) Estimate the mean of the time-to-failure f

  • Q : Write down the equation of the model....
    Basic Statistics :

    Build a linear model by using Y as the outcome variable and X1 and X2 as the predicting variables. Make sure to write down the equation of the model.

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