• Q : Compare failure rates for two brands of tires....
    Basic Statistics :

    In order to compare failure rates for two brands of tires, a sample of 600 tires of Brand A was taken, of which 36 failed. For a sample of 800 tires of Brand B, 32 failed. Can we conclude at the 0.0

  • Q : Compute the value of the standardized test statistic....
    Basic Statistics :

    You wish to test the claim that ? > 33 at a level of significance of ? = 0.05 and are given sample statistics n = 50, x = 33.3, and s = 1.2. Compute the value of the standardized test statistic.

  • Q : Standard error of estimate for the regression line....
    Basic Statistics :

    One set of 20 pairs of scores, X and Y values, produces a correlation of r=0.70. If SSy = 150, find the standard error of estimate for the regression line.

  • Q : Confidence interval for the population mean repair cost....
    Basic Statistics :

    In a random sample of 60 refrigerators, the mean repair cost was $150.00 and the standard deviation was $15.50. Construct a 99% confidence interval for the population mean repair cost.

  • Q : Weights of cans of the diet version....
    Basic Statistics :

    Use the weights of cans of generic soda as sample one and use the weights of cans of the diet version of that soda as sample two. Assume that the two samples are independent simple random samples se

  • Q : Mean time americans....
    Basic Statistics :

    Test the claim that the mean time Americans spend watching TV per day is 4.4 hours at the 0.10 level of significance. A random sample of 80 people had a mean time of 2.225 hours viewing per day and

  • Q : Question regarding the percent of drivers....
    Basic Statistics :

    At the 0.01 level of significance, test the claim that the percent of drivers who are 35 years old or younger and who run red lights is higher than the percent of drivers who are older than 35 years

  • Q : Pregnant females smoke during pregnancy....
    Basic Statistics :

    A physician claims that 13.6% of all pregnant females smoke during their pregnancy. A random sample of 400 pregnant women revealed that 60 of them are smoking while pregnant. Test the physician's cl

  • Q : Question regarding new placement exam....
    Basic Statistics :

    A math instructor has written a new placement exam. He is concerned that the exam may be too long. The instructor claims that the average length of time required to finish the exam for all students

  • Q : Example of global sustainability....
    Basic Statistics :

    Give an example of global sustainability that demonstrates your understanding of the concept.

  • Q : Estimate of the population standard deviation....
    Basic Statistics :

    If the batteries from a particular production run have an actual mean use life of 385 hours, the production manager wants a sampling procedure that only 10% of the time would show erroneously that t

  • Q : Example of global sustainability that demonstrates....
    Basic Statistics :

    Give an example of global sustainability that demonstrates your understanding of the concept.

  • Q : Article about the results of a poll states....
    Basic Statistics :

    A newspaper article about the results of a poll states: "In theory, the results of such a poll, in 99 cases out of 100 should differ by no more than 5 percentage points in either direction from what

  • Q : New recipes for loss of sweetness during storage....
    Basic Statistics :

    Cola makers test new recipes for loss of sweetness during storage. Trained tasters rate the sweetness before and after storage. Here are the sweetness losses (sweetness before storage minus sweetnes

  • Q : Volumes of soda in quart soda bottles....
    Basic Statistics :

    The volumes of soda in quart soda bottles are normally distributed with a mean of 32.3 oz and a standard deviation of 1.2 oz. What is the probability that the volume of soda in a randomly selected b

  • Q : Network representation of problem....
    Basic Statistics :

    Develop a network representation of this problem. Develop a linear programming model that can be used to determine the plan that will minimize total distribution costs. Describe the distribution plan

  • Q : Limited number of specialty items....
    Basic Statistics :

    Burger Dome sells hamburgers, cheeseburgers, French fries, soft drinks, and milk shakes, as well as a limited number of specialty items and dessert selections.

  • Q : Right-footed or left-footed....
    Basic Statistics :

    Suppose we want to test the H0 that left-handed women are equally likely to be right-footed or left-footed. Do the Chi2 test for it with = 0.05.

  • Q : Determine the mean and the variance of w....
    Basic Statistics :

    Determine the mean and the variance of W. Find d1,d2,d3, and d4 so that p(W > d1) = 0.05, P( W > d2) = 0.99 P(W > d3) = 0.005 and P(W < d4) =0.025. Use tables

  • Q : Capture the true population proportion....
    Basic Statistics :

    About how many of the 100 90% confidence intervals would fail to capture the true population proportion?

  • Q : Capture the true population proportion....
    Basic Statistics :

    About how many of the 100 90% confidence intervals would fail to capture the true population proportion?

  • Q : Confidence interval for proportion of all american....
    Basic Statistics :

    By hand, compute a 95% confidence interval for the proportion of all American adults who approve of the job Barack Obama is doing as president. zc for a 95% confidence interval is 1.96.

  • Q : Confidence interval on the true standard deviation....
    Basic Statistics :

    Construct a 98% two-sided confidence interval on the true standard deviation of the student height distribution.

  • Q : Reinstatement of a military draft....
    Basic Statistics :

    A poll found that in a random sample of 1000 American adults, 720 indicated that they oppose the reinstatement of a military draft. Is there convincing evidence that the proportion of American adult

  • Q : Relationship between advertising and sales....
    Basic Statistics :

    Attempting to analyze the relationship between advertising and sales, the owner of a furniture store recorded the monthly advertising budget ($thousand) and the sales ($millions) for a sample of 12

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