Following are observed frequencies. The null hypothesis is Ho P1-0.25, p2-0.17, p3-0.26, P4 0.32 Category1 2...
Question 1 of 4 For the following observed and expected frequencies: Observed 39 43 42 109 Expected 38 48 45 S 6 Download data Test the hypothesis that the distribution of the observed frequencies is as given by the expected frequencies. Use thea -0.025 level of significance and theP-value method with the TI-84 calculator Part 1 State the null and alternate hypotheses. Ho: The distribution of the observed frequencies ts H1: The distribution of the observed frequencies differs from that...
The null hypothesis and the alternate hypothesis are: Ho: The frequencies are equal. Hi: The frequencies are not equal. Category A B с fo 10 20 30 20 D a. State the decision rule, using the 0.05 significance level. (Round your answer to 3 decimal places.) Reject HO if chi-square > b. Compute the value of chi-square. Chi-square value c. What is your decision regarding Ho? HO. The frequencies are
Consider a multinomial experiment with n = 260 and k = 4. The null hypothesis to be tested is H0: p1 = p2 = p3 = p4 = 0.25. The observed frequencies resulting from the experiment are: (You may find it useful to reference the appropriate table: chi-square table or F table) Category 1 2 3 4 Frequency 73 44 75 68 a. Choose the appropriate alternative hypothesis. All population proportions differ from 0.25. Not all population proportions are equal...
3. Let Yi ~ Binonial(nj:pj), J = 1, 2 independently. For testing the null hypothesis Ho : P1 = P2, a coinmonly used test statistic (slightly different frorn the one given in lecture) s Pi-P2 where pi = Y5/nj and p = (Yİ + Y)/(m + n2) is the pooled estimate of proportion urder Ho. Such data can also be surnmarized as a 2 × 2 table of counts Population Successes Failures Yi 2 For this table, denote the test...
A distribution and the observed frequencies of the values of a variable from a simple random sample of the population are provided below. Use the chi-square goodness-of-fit test to decide, at the specified significance level, whether the distribution of the variable differs from the given distribution Distribution: 0.1875, 0.1875, Observed frequencies: 16, 20, 24, 36 Significance level 0.05 0.3125, 0.3125 Determine the null and alternative hypotheses. Choose the correct answer below. OA. H: The distribution of the variable differs from...
2. Following are observed frequencies for five categories: Category 1 2 3 4 S Observed 25 14 23 6 2 Compute the expected frequencies given that Ho: p, -4, p2 .3, p, 1, PA 15,Ps5
Question Completion Status: QUESTION 2 The Null Hypothesis (HO): O The two categorical variables are independent Op1 = P2 = ... = Pg, where g = 4 Homogeneity of distribution of a categorical response Goodness-of-fit test QUESTION 3 Significance level: a = a=0.05 Which test statistic would we use for the test? X-MO 2 = P - Po po(1-P) F = t= MSG MSE x-1 (0-1) E s/n (a) 72 (b) (c) (d) O 1.a O2.b O3.c 04.0 QUESTION 4...
Stats help!! A researcher wants to determine if the distribution of asthma mortality by race has changed over the past years. He gathered data from Center of Disease Control and Prevention, and the following data was obtained from National Asthma Mortality Rate of 2015: Race White Non-Hispanic Black Non-Hispanic Other Non-Hispanic Hispanic Total Observed Counts (O) 2259 1148 235 358 4000 Percentages 60% 25% 5% 10% 100% Expected Counts (E) 1) If the null hypothesis is true, what are the...
CH12 Q2 Consider a multinomial experiment with n 280 and k 3. The null hypothesis is но. p1-0.40, p2-0.40, and p3-0.20. The observed frequencies resulting from the experiment are: (You may find it useful to reference the appropriate table: chi-square table or F table) Category Frequency 120 110 50 a. Choose the appropriate alternative hypothesis. All population proportions differ from their hypothesized values. At least one of the population proportions differs from its hypothesized value. b-1. Calculate the value of...
In a book the characters are trying to determine whether the Poisson probabilistic model can be used to describe the locations that rockets landed in a city. They divided the city into 0.25-kmregions. They then counted the number of rockets that landed in each region, with the results shown in the table below. Complete parts (a) through (e). Number of rocket hits 0 1 2 3 4 5 6 7 Observed number of regions 221 215 100 32 8 0...