About 42.3% of Californians and 19.6% of all Americans over age five speak a language other than English at home.  A recent survey of 962 North Carolinians indicated that 17.4% of those sampled speak a language other than English at home.  Test the claim that the percentage of North Carolinians that speak a language other than English at home is significantly different from the rate of all Americans that speak a language other than English at home.  Test this claim at the .02 level of significance. what is the test statistic and the p-value

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A: The test statistic is 1.59 and the P-value is 0.060.

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A:

Q: A credit score is used by credit agencies (such as mortgage companies and banks) to assess the…

A: Given Mean=702.5 Standard deviation=84 3 n=39

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A: Denote μ as the true mean credit score.

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A: From the provided information, Sample size (n) = 42 Sample mean (x̅) = 719.2 Standard deviation (s)…

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A:

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A: From the given information,      P = 0.88       n = 100 We know that, Quantitative variables can be…

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A: We have to find test statastics.

Q: hoyed by people who repeatedly check their mobile phones while having an in-person conversation?"…

A:

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A: Given information Population mean µ = 707.6 Sample size (n) = 43 Mean x̅ = 718.3 Standard deviation…

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A: Givenx=19n=308p^=19308=0.0617α=0.05

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A: One sample t-test: One sample t-test is used to test the significance difference between population…

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A: Answers are in images uploaded below and calculation of p value is explained in last step. Thanks!

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Q: . Find a 90% confidence interval for p. (Round your answers to three decimal places.) lower limit…

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Q: A credit score is used by credit agencies (such as mortgage companies and banks) to assess the…

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.