At the 0.010 significance level, can he conclude that the number of absences has declined? Estimate the p-value. a. State the decision rule for 0.010 significance level. (Round your answer to 3 decimal places.) Reject HO if t > b. Compute the test statistic. (Round your answer to 3 decimal places.) The test statistic is

3) Examine your t-test score in the paired samples t-test table. Is the p value significant? State in one to two sentences whether the test was significant and interpret this result.

0.05 level of significance. Solve for appropriate test statistic and show written work!

S Use the sample data and confidence level given below to complete parts (a) through (d). A research institute poll asked respondents if they felt vulnerable to identity theft. In the poll, n = 998 and x = 522 who said "yes." Use a 99% confide Click the icon to view a table of z scores. a) Find the best point estimate of the population proportion p. (Round to three decimal places as needed.) n example Get more help -

In a hypothesis test, H0 is p < 0.45 and Ha is p > 0.45. If the test statistic is z = 1.68, what is the P-value? Draw picture and give P-value only. Do not do rest of testing.

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Ramos has a spinning wheel. The Spining wheel has 18 blue numbers 18 white numbers and 2 yellow numbers the table provided shows the frequency with which the ball landed on each color in 200 trials. color blue frequency 18 white frequency 18 yellow frequency 2 . At the 5% significance level do the data suggest that the wheel is out of balance?you will  need to compute the expected counts  to do your calculations remember that the expected counts can be computed with the formula E = np, where n is the number of trials and P is the probability of each color.

The mean price of mid-sized cars in a region is $57,600. A test is conducted to see if the claim is true. Identify the null hypothesis. ? v? v Identify the alternative hypothesis. ? v:?v| ? v Identify the type I error. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is not $57,600. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is nor $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is $57,600. Identify the type II error. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is not…

Im confused on this problem