The following table presents the observed and expected data on the number of plants found in...
The following table presents the observed and expected data on the number of plants found in each of 50 sampling quadrants. # of plants 0 Observed Frequency (0) 5 18 10 1 Expected Frequency (E;) 6.767 13.534 13.534 9.022 7.144 2 3 >4 12 5 Ho: The distribution is Poisson H7: The distribution is not Poisson A) Justify why the assumption of the Poisson distribution seem appropriate as a probability model for this data? Find the value of the only...
The following table presents the observed and expected data on the number of plants found in each of 50 sampling quadrants. # of plants Observed Frequency (0) Expected Frequency (E) 5 6.767 18 13.534 2 10 13.534 3 12 9.022 24 5 7.144 Ho: The distribution is Poisson Hy: The distribution is not Poisson Part a (5 points): Justify why the assumption of the Poisson distribution seem appropriate as a probability model for this data? Find the value of the...
The following table presents the observed and expected data on the number of plants found in each of 50 sampling quadrants. # of plants Observed Frequency (Oi) Expected Frequency (Ei) 0 5 6.676 1 18 13.534 2 10 13.534 3 12 9.022 4 5 7.144 H0 : The distribution is Poisson H1 : The distribution is not Poisson a.) Justify why the assumption of the Poisson distribution seem appropriate as a probability model for this data? Find the value of...
Please help me with this one The following table presents the observed and expected data on the number of plants found in each of 50 sampling quadrants. # of plants Observed Frequency (0) Expected Frequency (E) 5 6.767 18 13.534 2 10 13.534 3 12 9.022 24 5 7.144 Ho: The distribution is Poisson Hy: The distribution is not Poisson Part a (5 points): Justify why the assumption of the Poisson distribution seem appropriate as a probability model for this...
show work The following table presents the observed and expected data on the number of plants found in each of 50 sampling quadrants. # of plants Observed Frequency (0) Expected Frequency (E) 0 5 6.767 18 13.534 2 10 13.534 3 12 9.022 5 7.144 24 Ho: The distribution is Poisson H: The distribution is not Poisson Part a (5 points): Justify why the assumption of the Poisson distribution seem appropriate as a probability model for this data? Find the...
11. Testing Goodness-of-Fit with a Discrete Uniform: An observed frequency distribution is as follows: Number of successes Frequency 0 90 1 1 18 2 60 3 19 It is claimed that the above observed distribution comes from a Discrete Uniform Distribution. • What is the hypothesis of interest? • What are the expected counts? • What is the name and value of appropriate test statistic? • What is the pvalue ? What is your conclusion?
Consider the following frequency table of observations on the random variable X. Values 0 1 2 3 4 5 Observed Frequency 8 25 22 21 16 8 (a) Based on these 100 observations, is a Poisson distribution with a mean of 2.4 an appropriate model? Perform a goodness-of-fit procedure with α=0.05. Which of the following is the correct conclusion? (b) Which of the following are the correct bounds on the P-value for this test.
The data in the Tollowing table are the frequency counts for 40o observations on the number of bacterial colonies within the field of a microscope, using samples of milk film. Is there sufficient evidence to claim that the data do not fit the Poisson distribution? (Use a-0.05.) State the null and alternative hypotheses. O My The data fit a Poisson distribution. The data do not fit a Poisson dstribution. O Mo The data do not fit a Poisson distribution. The...
Expected Frequency is found by using the Poisson distribution -λ χ)-__ where λ-[0(24) + 1(30) + 2(31) + 3(11) + 4(4))/100-1.41 2. ChieX Table Valuc Observed Frequency 24 30 4 1) The variable of interest is the form of the distribution for X 2) Ho: The form of the distribution is Poisson 3) H: The form of the distribution is not Ppisson f (x-3) = ? 5) The test statistic is
For a Chi-Squared Goodness of Fit Test about a distribution that has the following characteristics: Category 1: 20% Category 2: 30% Category 3: 10% Category 4: 15% Category 5: 25% complete the table and compute the test statistic. Round to the fourth as needed. Observed Expected Categories Frequency Frequency 48 Test Statistic =