You are conducting a study to see if the accuracy rate for fingerprint identification is significantly more than 0.81. You use a significance level of a = 0.005. Ho:p = 0.81 H1:p > 0.81 %3D You obtain a sample of size n = 666 in which there are 559 successes. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a O greater than a This test statistic leads to a decision to... Oreject the null O accept the null O fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the accuracy rate for fingerprint identification is more than 0.81. O There is not sufficient evidence to warrant rejection of the claim that the accuracy rate for fingerprint identification is more than 0.81. O The sample data support the claim that the accuracy rate for fingerprint identification is more than 0.81. O There is not sufficient sample evidence to support the claim that the accuracy rate for fingerprint identification is more than 0,81.

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Consider the following ANOVA table below. Some parts are blank intentionally. The number of observations is 249. Source Model (Regression) Residual (Error) Total The MSE is: SS 1,332 DF MS 921 Round your answer to two decimal places.

Salma claimed that the gas price in Blue Park neighborhood (mean of $3.65) is higher than that in Green Spring (mean of $3.59). She obtained the t-value of 2.223 after calculating data from 6 gas stations in Blue Park and 5 gas stations in Green Spring. Use the chart below and determine if Salma's claim is supported! Table 10-3. Critical values of "t" significance level p= 0.05 significance level p= 0.01 TP 1 12.706 63.657 2 4.303 9.925 3 3.182 5.841 2.776 4.604 5 2.571 4.032 6 2.447 3.707 7 2.365 3.499 2.306 3.355 9 2.262 3.250 10 2.228 3.169 11 2.201 3.106 Copy the following into your text box, fill in the blanks, and answer the questions A. The degree of freedom is: B. The t-calculated value is: and the t-critical value is : C. Comparison: t-calc t-crit (answer with ()) D. Is the null hypothesis accepted or rejected? Explain how you determined that! Also, explain what it means to reject or accept the hypothesis! E. Explain if Salma's claim is supported based on your t-value…

Which best illustrates the distinction between statistical significance and practical importance?     Multiple Choice   "This year, 360 of 440 statistics students at Oxnard Technical College rented their textbooks, compared with 110 of 330 students last year. This is a significant increase."     "Our new manufacturing technique has increased the life of the 80 GB USB AsimoDrive external hard disk significantly, from 240,000 hours to 250,000 hours."     "In 50,000 births, the new vaccine reduced the incidence of infant mortality in Morrovia significantly from 14.2 deaths per 1000 births to 10.3 deaths per 1000 births."     "The new Sky Penetrator IV business jet’s cruising range has increased significantly from 3,975 miles to 4,000 miles."

How does increasing the alpha/significance level increase the power of a statistical test?

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A survey information given below, Sample mean = 5.5, s=2.517, df-8 and confidence level 95% (coresponding test statistic value is 2.303). Based on this information answer the folowing: Which test is appropriate, z-test or t-test? Type either "z-test" or "t-test" A What was the sample size? A Calculate the margin of error. (Report two decimal point, #.##) A Calculate the confidence interval-write lower and uppler value using comma ",". (Report two A If the df decimal point: #.##, #.##) increases to 30 then what will impact on the margin of error? Write either "increase" A If the df or "decrease" or "no change" increases to 30 then what will impact on the confidence interval? Write either "wide" or "narrow" or "no change"