Consider the test of Ho :o = 13 against H1:o² # 13.What are the critical values for the test statistic Xo² for the significance level a = 0.01 and sample sizen = 17? Order your answers increasingly. Give your answers with two decimal places (e.g. 98.76).

Four brands of lightbulbs are being considered for use in the final assembly area of the Ford F-150 truck plant in Dearborn, Michigan. The director of purchasing asked for samples of 100 from each manufacturer. The numbers of acceptable and unacceptable bulbs from each manufacturer are shown below. At the .05 significance level, is there a difference in the quality of the bulbs? (Round your answers to 3 decimal places.)   H0: There is no relationship between quality and manufacturer.   H1: There is a relationship.     1. Reject H0 if X2 >____      2. X2 = ____   (Reject or Do Not Reject) H0. Ther (is a/is no) relationship between quality and manufacturer.

You are testing the claim that the proportion of men who own cats is larger than the proportion of women who own cats. You sample 190 men, and 113 own cats. You sample 50 women, and 24 own cats. Find p (p-bar), as a decimal, rounded to two decimal places. Find the test statistic, rounded to two decimal places. Submit Question 9:24 PM 5/20/2021

For a special pre–New Year’s Eve show, a radio station personality has invited a small panel of prominent local citizens to help demonstrate to listeners the adverse effect of alcohol on reaction time. The reaction times (in seconds) before and after consuming four drinks are in data below. At the 0.005 level, has the program host made his point? Identify and interpret the p-value for the test.   Data:   Subject Before After 1 0.32 0.39 2 0.39 0.44 3 0.36 0.49 4 0.41 0.53 5 0.37 0.46 6 0.42 0.52 7 0.41 0.52 8 0.43 0.46 9 0.39 0.55 10 0.41 0.52 11 0.35 0.45 12 0.42 0.41 13 0.32 0.54 14 0.39 0.46 15 0.41 0.53 16 0.33 0.54 17 0.43 0.46 18 0.42 0.43 19 0.41 0.52 20 0.35 0.52 21 0.39 0.41 22 0.39 0.44 23 0.32 0.50 24 0.33 0.53 25 0.31 0.45 26 0.35 0.45 27 0.31 0.45 28 0.32 0.48 29 0.38 0.54 30 0.37 0.46 31 0.39 0.49 32 0.30 0.51 33 0.40 0.49 34 0.41 0.50 35 0.41 0.53 36 0.35 0.47 37 0.37 0.51 38 0.41 0.46

Available below are amounts of arsenic in samples of brown rice from three different regions. The amounts are in micrograms of arsenic and all samples have the same serving size. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different​ regions? Given that the amounts of arsenic in the samples from region C have the highest​ mean, can we conclude that brown rice from region C poses the greatest health​ problem?     view the data table of the arsenic amounts.   Arsenic Amounts (micrograms)                             A 4.9 4.9 4.9 5.2 5.3 5.5 5.6 5.7 5.8 5.9 6.1 6.3   B 2.3 3.6 4.5 4.6 4.8 4.8 4.8 5.1 5.1 5.4 5.4 5.5   C 5.7 5.7 6.7 6.9 7.1 7.2 7.2 7.3 7.3 7.4 7.5 7.6               What are the hypotheses to​ test?   H0​: mu 1 equals mu 2 equals mu 3μ1=μ2=μ3   H1​: At least one…

You want to compare differences in prior arrests across ethnicity in your study, you measured ethnicity as white =0 black =1 hispanic=2, and other =3. Prior arrests was recorded as the number of prior arrests. which test would you perform to see if arrests differ across diffrent ethnic categories? A. ANOVA B. T-test

please help me find the test statistic and p-value!

A statistician changes her level of significance from .001 to .05.  What impact will this change have on her risk of making a Type I and Type II error?  Is the change in the level of significance a good decision?  Why or why not?