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Answer :
The given assumption for chi-square goodness of fit test is false because there must be at least 5 expected frequency in each group of categories variable,and groups f categorial variable must be mutually exclusive.
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2 PLS Assumptions for the chi-square goodness-of-fit test are 1) the data are obtained from a...
Which of the statements are correct? A condition for using the chi-square goodness-of-fit test is that...
Which of the statements are correct? A condition for using the chi-square goodness-of-fit test is that all expected counts must be at least two. A condition for using the chi-square goodness-of-fit test is the observations are based on a random sample. The chi-square goodness-of-fit test uses n − 5 degrees of freedom. A) I only B) II only C) I and II only D) II and III only E) I, II, and III
5. The chi-square test for goodness of fit - No difference from a known population Aa...
5. The chi-square test for goodness of fit - No difference from a known population Aa Aa Suppose you are reading a study conducted in the year 2000 about welfare recipients in the United States. The authors report the following frequency data on the household size of the 2,352 welfare recipients in their random sample: Observed Frequencies Household Size 5-or-more-person 4-person 3-person 2-person 1-person 282 753 588 400 329 You wonder if welfare recipients tend to live in different-sized households...
Assume that a Chi-square test was conducted to test the goodness of fit to a 3:1...
Assume that a Chi-square test was conducted to test the goodness of fit to a 3:1 ratio and that a Chi-square value of 2.62 was obtained (Table value is equal to 3.84). Should the null hypothesis be accepted? How many degrees of freedom would be associated with this test of significance?
In performing a chi-square goodness-of-fit test for a normal distribution, a researcher wants to make sure...
In performing a chi-square goodness-of-fit test for a normal distribution, a researcher wants to make sure that all of the expected cell frequencies are at least five. The sample is divided into 7 intervals. The second through the sixth intervals all have expected cell frequencies of at least five. The first and the last intervals have expected cell frequencies of 1.5 each. After adjusting the number of intervals, the degrees of freedom for the chi-square statistic is O 2 3...
The name given to goodness of fit test was derived based on the hypothesis tested and...
The name given to goodness of fit test was derived based on the hypothesis tested and how good the observed frequencies fit a given pattern. To make a goodness of fitness test, the sample size should be large enough so that the expected frequency for each category is at least 5. There are four commonly used goodness of fit tests: The Chi-Square, Kolmogorov-Smirnov, Anderson-Darling, and Shipiro-Wilk. Observed frequencies, denoted by O, are counts made from experimental data - whereby you...
The test statistic for goodness of fit has a chi-square distribution with k - 1 degrees...
The test statistic for goodness of fit has a chi-square distribution with k - 1 degrees of freedom provided that the expected frequencies for all categories are a. 10 or more. b. k or more. c. 2k. d. 5 or more.
For a Chi-Squared Goodness of Fit Test about a distribution that has the following characteristics: Category...
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 =
1.Referring to the the Goodness-of-fit data shown in table 1. The calculated Chi-sq test statistic is...
1.Referring to the the Goodness-of-fit data shown in table 1. The calculated Chi-sq test statistic is A. 8.0 B. 12 C. 7.85 D.8.75 Table 1 Chi-Squared goodness-of-fit test H0: Follows Uniform Distribution H1: Does not follow Uniform Distribution Category Observed Expected Contribution To Chi-Sq 1 12 8 2.000 2 7 8 0.125 3 2 8 4.500 4 7 8 0.125 5 12 8 2.000 6 8 8 0.000
The number of degrees of freedom in a chi-square goodness of fit test depends upon: (1)...
The number of degrees of freedom in a chi-square goodness of fit test depends upon: (1) the number of classes into which the sample observations are classified; (2) the number of observations in the sample; (3) the number of population parameters estimated from the sample data. a. 1 only b. 2 only c. 1 and 2 only d. 1 and 3 only e. none of the above
When using a chi-square goodness-of-fit test with multinomial probabilities, the rejection of the null hypothesis indicates...
When using a chi-square goodness-of-fit test with multinomial probabilities, the rejection of the null hypothesis indicates that at least one of the multinomial probabilities is not equal to the value stated in the null hypothesis. O True False
5. The chi-square test for goodness of fit - No difference from a known population Aa Aa Suppose you are reading a study conducted in the year 2000 about welfare recipients in the United States. The authors report the following frequency data on the household size of the 2,352 welfare recipients in their random sample: Observed Frequencies Household Size 5-or-more-person 4-person 3-person 2-person 1-person 282 753 588 400 329 You wonder if welfare recipients tend to live in different-sized households...
In performing a chi-square goodness-of-fit test for a normal distribution, a researcher wants to make sure that all of the expected cell frequencies are at least five. The sample is divided into 7 intervals. The second through the sixth intervals all have expected cell frequencies of at least five. The first and the last intervals have expected cell frequencies of 1.5 each. After adjusting the number of intervals, the degrees of freedom for the chi-square statistic is O 2 3...
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 =
When using a chi-square goodness-of-fit test with multinomial probabilities, the rejection of the null hypothesis indicates that at least one of the multinomial probabilities is not equal to the value stated in the null hypothesis. O True False
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