Question

In: Statistics and Probability

A ______________ is the distribution of sample statistics computed for samples of the same size from...

  1. A ______________ is the distribution of sample statistics computed for samples of the same size from the same population.

  1. Sampling Distribution
  2. Skewed Distribution
  3. Population Distribution
  4. Null Distribution
  5. t-Distribution

  1. Researchers are testing a new mosquito repellent and comparing it to a brand that’s already on the market.  These researchers collect data on 100 people who used the new repellent and 100 people who used the other brand.  They find that 32 out of 100 people using the new repellent were unaffected by mosquitos, while 37% of the second sample were unaffected after using the old brand.  Here, our parameter of interest is

    1. Hypothesis tests are conducted assuming

    1. nothing.
    2. the null hypothesis is true.
    3. the alternative hypothesis is true.
    4. that the samples are random.

    1. Suppose we want to test H0:  = 0 versus Ha:   0. Which of the following sample statistics would result in the largest p-value for this hypothesis test?

    1. -3.59
    2. -2.21
    3. 0.44
    4. 1.97

    Solutions

    Expert Solution

    Solution :

    1)

    A sampling distribution is the distribution of sample statistics computed for samples of the same size

    from the same population.

    2)

    Solution :

    This is the two tailed test .

    The null and alternative hypothesis is

    H0 : p = 0.37

    Ha : p 0.37

    n = 100

    x = 32

    = x / n = 32 / 100 = 0.32

    P0 = 0.37

    1 - P0 = 1 - 0.3 = 0.63

    z = - P0 / [P0 * (1 - P0 ) / n]

    = 0.32 - 0.37  / [(0.37 * 0.63) /100 ]

    = -1.04

    Test statistic = -1.04

    P(z < -1.04) = 0.15

    P-value = 0.15

    = 0.05

    P-value >

    Fail to reject the null hypothesis .

    The alternative hypothesis is true.

    3)

    P value for the hypothesis test is 0.44 .

    Probability range is from 0 to 1 .


    Related Solutions

    Q1: If X~(42,10) and  is computed from a random sample of size n=81, what is the distribution...
    Q1: If X~(42,10) and  is computed from a random sample of size n=81, what is the distribution of  ? Q2: If X~N(42,10) and  is computed from a random sample of size n=16, what is the distribution of  ? Q3: When constructing a confidence interval for a mean, what are the two fundamentally different scenarios we would be working under? Q4: Interpret the following probability statement into a complete sentence: P(x-bar > 20.26) = 0.8084 Q5: Find the following probability: P( Z > 0).
    1a. Consider two samples from the same population. Sample A has size n=500 and Sample B...
    1a. Consider two samples from the same population. Sample A has size n=500 and Sample B has size n = 200. Indicate whether each of the following statements is true or false. We would expect Sample A to have a larger mean than Sample B. We would expect the mean of Sample A will be closer to the population mean than the mean of Sample B. We would expect the 95% confidence interval (CI) based on Sample A will have...
    Five samples of size 4 were taken from a process. Summary statistics are shown below: Sample...
    Five samples of size 4 were taken from a process. Summary statistics are shown below: Sample Range Mean 1 1.75 10.5 2 2.42 22.3 3 2.75 17.4 4 2.04 20.1 5 2.80 18.9 What is the lower control limit for a range chart?
    Measured Amounts of arsenic from independent samples of the same size of brown rice can be...
    Measured Amounts of arsenic from independent samples of the same size of brown rice can be found in Arsenic in rice. All measurements are in micrograms per serving and the data is from the food and drug administration. each sample appears to be from a population having a normal distribution. use a 0.05 significance to test the claim that the mean amount of arsenic in rice is the same in california, arkansas, and texas. CA AR TX 1.5 4.8 5.6...
    Suppose we examined samples of size n = 50 from the population of Basic Statistics classes...
    Suppose we examined samples of size n = 50 from the population of Basic Statistics classes that I have taught at AU. Suppose that the sample mean is equal to 6.42 hours, and the population standard deviation is 6.72 hours. a. Find a 95% confidence interval for the mean number of hours of television watched by this population of Basic Statistics students, using the information described above. b. Does this confidence interval contain the population mean? c. Suppose I gather...
    1. If two samples are drawn independently from the same population, then the sample means will...
    1. If two samples are drawn independently from the same population, then the sample means will be the same. true or false? 2. If two samples are drawn independently from the same population, then their sample standard deviations will be the same. true or false? 3. You can find below the results from Tukey's Honestly Significant Difference procedure with familywise significance level 0.05 for the agricultural experiment above. Which of the following can be concluded at this level? diff lwr...
    Continue to use same population and sample. Population Size of 150 with a sample size of...
    Continue to use same population and sample. Population Size of 150 with a sample size of 49 Sample Mean is 519.04  Perform a hypothesis test of the claim that the true, but unknown population mean, is equal to 500, using a signicance level, = :02. 1. Using proper notation, write the correct null and alternative hypotheses. Indicate, which hypothesis is the claim, and state if the test is left-tailed, right-tailed, or 2-tailed. 2. Calculate the appropriate test statistic. 3. Use table...
    14. A sample of size 144 is taken from a population with an unknown distribution. It...
    14. A sample of size 144 is taken from a population with an unknown distribution. It is known that the population distribution has mean 32 and standard deviation 15. (A)What is the distribution of the sample means x̄ ? Justify your reasoning and be sure to completely specific the distribution by stating values of the appropriate parameters. (B) Compute P( x̄ ≥ 34). You may only use the z-score approach and the probabilities provided in Table A. (C) How large...
    A random sample of size 9 from a distribution of ?(?, 36) yielded ?̅ = 40....
    A random sample of size 9 from a distribution of ?(?, 36) yielded ?̅ = 40. Find the confidence intervals for ? a. 99% b. 97.5% c. 95% d. 90%
    1. (a) Simulate a random sample of size 100 from the exponential distribution with the rate...
    1. (a) Simulate a random sample of size 100 from the exponential distribution with the rate parameter λ = 10. Then make a histogram of the simulated data. (b) We use the simulated data as a data set to construct the log-likelihood function as an R function. We will find the MEL of the value λ = 10. Choose the appropriate range for the parameter λ, then make a plot of the log-likelihood function. (c) Use R function ‘optim‘ to...
    ADVERTISEMENT
    ADVERTISEMENT
    ADVERTISEMENT