The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Observed Number of Households in Type of Household Married with children Married, no children Single parent One person Other (e.g., roommates, siblings) Percent of U.S. Households 26% 29% 9% 25% 11% the Community 106 112 37 91 65 Use a 5% level of significance to test the claim that the distribution of U.S. households fits the Dove Creek distribution. (a) What is the level of significance? 0.05 State the null and alternate hypotheses. Họ: The distributions are the same. H1: The distributions are the same. Ho: The distributions are different. H1: The distributions are the same. Ho: The distributions are different. H1: The distributions are different. O Ho: The distributions are the same. H1: The distributions are different. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to two decimal places. Round the test statistic to three decimal places.) Are all the expected frequencies greater than 5? O Yes No What sampling distribution will you use? O chi-square uniform binomial normal Student's t What are the degrees of freedom? (c) Find or estimate the P-value of the sample test statistic. (Round your answer to three decimal places.) (d) Based on vour answers in parts (a) to (c) will vou reiect

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Q: The type of household for the U.S. population and for a random sample of 411 households from a…

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Q: The type of household for the U.S. population and for a random sample of 411 households from a…

A: CHI SQUARE TEST

Q: The type of household for the U.S. population and for a random sample of 411 households from a…

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Q: The type of household for the U.S. population and for a random sample of 411 households from a…

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.