Question 11

  • Completely Randomized Design

    Randomly assign students to trea tments Group 30 students Group 2 30 Stude nts Treatme nt A: no p r.c tice exam Treatme n t & p ractice Results

  • Randomized Block Design

    Randomly students treatme nts Split de up Rand omW e atments Group IS stude Group 2 15 swdents Group 15 stud e Group 2 13 Ire atme nt no practice Tr e atment B: practice e atme at AZ no p Tr eatment B: Exam Results Exam flu dents

Question 12

Response bias (also called survey bias) is the tendency of a person to answer questions on a survey untruthfully or misleadingly. For example, they may feel pressure to give answers that are socially acceptable. Jun 24, 2015 en .org Response Bias: Definition and Examples - Statistics How To www.statisticshowto.com/response-bias/

Selection Bias An example of selection bias is wanting to know how all 8th grade students feel about the upcoming basketball game, but only asking the basketball players what they think. Response Bias An example of response bias is the asking of leading questions, such as, "You don't want school to start any earlier do you?"

  • How to minimize response bias

    • Use Clear Language

    • Choose Words and Phrases With Care

    • Know How To Frame Your Questions

    • Provide Just the Right Amount of Options

    • Plan a Neutral Survey Structure

    • Keep Styling At a Minimum

    • Be Honest

Question 13

13. For a sample of 42 rabbits, the mean weight is 5 pounds and the standard deviation of weights is 3 pounds. Which of the following is most likely true about the weights for the rabbits in this sample? (A) The distribution of weights is approximately normal because the sample size is 42, and therefore the central limit theorem applies. (B) The distribution of wei ts is ximatel normal because the standard deviation is less than the mean. (C) The distribution of weights is skewed to the right because the least possible weight is within 2 standard deviations of the mean. (D) The distribution of weights is skewed to the left because the least possible weight is within 2 standard deviations of the mean. (E) The distribution of weights has a median that is greater than the mean.

Question 18

  • Population size should be at least 10 times the sample size so that the degree of dependence among observations is negligible.

Question 22

  • Confidence Interval Interpretation

    If repeated samples were taken and the 95% confidence interval was computed for each sample, 95% of the intervals would contain the population mean. A 95% confidence interval has a 0.95 probability of containing the population mean. 95% of the population distribution is contained in the confidence interval. Confidence Intervals Introduction - Online Stats Book onlinestatbookcom/2/estimation/confidence.html

    Confidence intervals provide more information than point estimates. Confidence intervals for means are intervals constructed using a procedure (presented in the next section) that will contain the population mean a specified proportion of the time, typically either 95% or 99% of the time. These intervals are referred to as 95% and 99% confidence intervals respectively. An example of a 95% confidence interval is shown below: 72.85 < p < 107.15 There is good reason to believe that the population mean lies between these two bounds of 72.85 and 107.15 since 95% of the time confidence intervals contain the true mean. If repeated samples were taken and the 95% confidence interval computed for each sample, 95% of the intervals would contain the population mean. Naturally, 5% of the intervals would not contain the population mean.

    Replication 10 9 8 7 6 5 4 3 2 This interval does not the true proportion 7t n -1.2859 true proportion = 71+1.2859 This interval does not the true proportion 7t

Question 28

28. An experimenter conducted a two-tailed hypothesis test on a set of data and obtained a p-value of 0.44. If the experimenter had conducted a one-tailed test on the same set of data, which of the following is true about the possible p-value(s) that the experimenter could have obtained? (B) (D) (E) The only possible p-value is 0.22. The only possible p-value is 0.44. The only possible p-value is 0.88. The possible p-values are 0.22 and 0.78. The possible p-values are 0.22 and 0.88.

P -value in one-sided and two-sided tests Ha: It \> is z) One-sided (one-tailed) test Two-sided (two-tailed) test Izi TO calculate the P-value for a two-sided test, use the symmetry of the normal curve. Find the P-value for a one-sided test and double it.

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Question 32

  • SE Coef = Standard Deviation of Statistic (not population)

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