You wish to test the following claim (Ha) at a significance level of a = 0.10. H.:p = 0.44 Ha:p < 0.44 488 in which there are 183 successful observations. For this test, You obtain a sample of size n = you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic =-2.892 x What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value =| 0.0019

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Q: The P-value for this sample

A: From part a), the degrees of freedom is 4. The test statistic is 42.37.

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Q: How much difference is there between the mean for the treated sample and the mean for the original…

A: Definition Sample Mean x It is the mean of all the values of a sample.   Population μ It is the mean…

Q: What do you mean by Random Sample?

A:

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A: ANOVA test is used to analyze the difference between means of more than two groups. One way ANOVA…

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Q: ?

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Q: Why are t statistics more variable than z -scores?

A: t-statistics uses sample variance instead of population variance.   t statistics has both s and x̅.

Q: If the sample size is n=16 what is likely true about the shape of the population?

A: Solution:  Central limit theorem: The central limit theorem state that as the sample size increases…

Q: Why do we use subscripts when working with two samples?

A: We want to explain why we used subscripts when working with two samples

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A: It is given that the sample size increases.

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Q: For a sample of n=16 scores, how many scores are used to calculate the sample variance?

A:

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A: Given: The UM student decides to select a random sample of 30 days from the winter 2019  semester.…

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Q: How to decide one or Two Samples?

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Q: why is it  important for students to know something about statistics as applied to psychology?

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Q: In psychology, what are two factors that decrease statistical power?

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Q: Placebo Drug A Drug B |70 |60 10 30 50 15 50 30 10 50 30 18 40 40 19 Use alpha of .05.

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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.