A manufacturer of potato chips would like to know whether its bag filling machine works correctly at the 428 gram setting. Is there sufficient evidence at the 0.05 level that the bags are overfilled? Assume the population is normally distributed. State the null and alternative hypotheses for the above scenario.

I’ve tried 3.47 and 3.96 and it says they're incorrect what is the right solution?

What is the test statistics and critical values. I got 4.20 for the test statistic, but it says its incorrect.

What is the F- test statistic and p-value

Which of the following would be an appropriate null hypothesis? A. The mean of a population is equal to 55. B. The mean of a sample is equal to 55. OC. The mean of a population is greater than 55. OD. Only (a) and (c) are true. Question 2 of 13 Which of the following would be an appropriate alternative hypothesis? A. The mean of a population is equal to 55. OB. The mean of a sample is equal to 55. OC. The mean of a population is greater than 55. D. The mean of a sample is greater than 55. 0.2

I need the answer as soon as possible

Suppose that one in six smartphone users have fallen prey to cyber-attack. We use a sample of 210 smartphone users. a-1. What is the expected value and the standard error of the sample proportion? Note: Round final answers to 4 decimal places. Expected value Standard error a-2. Is it appropriate to use the normal distribution approximation for the sample proportion? Yes, because np ≥ 5 and n(1 - p) ≥ 5 Yes, because n ≥ 30 No, because np ≥ 5 and n(1 - p) ≥ 5 ○ No, because n < 30 b. What is the probability that more than 20% of smartphone users in the sample have fallen prey to cyber-attack? Note: Round final answers to 4 decimal places. Probability

identify either the similarities or the differences between Enron and the Stanley Milgrim Experiment.   So, take the position either of, "this is how the Milgrim experiment explains what happened in Enron" or of, "the Milgrim experiment explains little about what transpired at Enron because it is a totally different situation in this way...". Provide at least three different pieces of evidence to illustrate your point.

K Conduct a test at the α = 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the P-value. Assume the samples were obtained independently from a large population using simple random sampling. Test whether p₁> P2. The sample data are x₁ = 116, n₁ = 244, x2 = 132, and n₂ = 313. (a) Choose the correct null and alternative hypotheses below. OA. Ho P1 P2 versus H₁: P1 P2 OB. Ho P₁ P2 versus H₁: P₁ P2 OD. Ho p₁ =0 versus H₁:.p₁ #0 (b) Determine the test statistic. Zo= (Round to two decimal places as needed.) (c) Determine the P-value. The P-value is (Round to three decimal places as needed.) What is the result of this hypothesis test? OA. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p₁ #p2- OB. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p₁ P2- OD. Reject the null hypothesis because there is sufficient evidence to conclude that p₁…

Consider the following data for a dependent variable y and two independent variables, x1 and 12. 30 12 94 47 10 109 25 18 112 51 16 178 40 94 51 19 175 75 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating Y to ¤1. Predict y if æ1 = 35. b. Develop an estimated regression equation relating y to x2. ŷ = + Predict y if x2 = 25. ŷ = c. Develop an estimated regression equation relating y to ¤1 and 2. Predict y if x1 = 35 and x2 = 25. ŷ =