A gambler is conducting a hypothesis test to determine whether a coin is fair. He has computed a test statistic of 0. What does that imply? He got the same number of heads as tails. o He made a computational mistake, since a test statistic cannot be 0. His null hypothesis is false. o He made a Type I error. 9:02 PM earch 44°F Cloudy^ (99+ 11/23/2021

If you reject H_0: p ≥ 0.9 in a one-tailed test at the 0.05 level then you would definitely Select one: a. None of other answers is necessary true. b. reject H_0: p ≤ 0.9 in a one-tailed test at the 0.05 level. c. reject H_0: p ≥ 0.9 in a two-tailed test at the 0.01 level. d. reject H_0: p = 0.9 in a two-tailed test at the 0.01 level. e. reject H_0: p ≤ 0.9 in a one-tailed test at the 0.01 level

Please no written by hand and no emage For production of oscillators, null hypothesis is; H0: mean frequency of oscillators is ? = 1575.000 MHz. After randomly checkingon 50 oscillators, sample mean was found as 1574.998MHz. Test the hypothesis with significance level of α = 0.05. (population standard deviation for this type oscillators is known as 0.005 MHz)

2. Forty-five percent of the entering CSUN freshmen in Fall 2019 were proficient in math. www.csun.edu/counts/new_first_time_freshman.php a. You want to see if the percentage is different for this fall's entering freshmen. Your hypotheses are Ho: На: where p stands for the percentage of freshmen who were proficient in Fall 2019 / this fall. b. Suppose that the null hypothesis is true that the percentage is 45% for this fall. Here is the sampling distribution of the values of p that would be expected if you repeatedly took random samples of 150 freshman entering this fall and found the proportion proficient in math. From the sketch alone, estimate the mean and the SE 0.33 0.37 0.41 0.45 0.49 0.53 0.57 If the null hypothesis is true, would it be unusual to get 50% in your sample who were proficient in mathematics? Explain: If the null hypothesis is true, would it be unusual to get 45 freshmen in your sample who were proficient in mathematics? Explain: c. You take a random sample of 150…

A local chess club claims that the length of time to play a game has a standard deviation of less than 13 minutes. Write sentences describing type I and type II errors for a hypothesis test of this claim. A type I error will occur if the actual standard deviation of the length of time to play a game is greater than or equal to v 13 minutes, but you reject the null hypothesis, Ho: os 13 A type II error will occur if the actual standard deviation of the length of time to play a game is less than v 13 minutes, but you fail to reject ♥ the null hypothesis, Ho: os 13

Chapter 6, Section 4-HT, Exercise 217 - MathPad Football Air PressureDuring the NFL’s 2014 AFC championship game officials measured the air pressure on game balls following a tip that one team’s balls were under inflated. We found that the 11 balls measured for the New England Patriots had a mean psi of 11.10 (well below the legal limit) and a standard deviation of 0.40. Patriot supporters could argue that the under inflated balls were due to the elements and other outside effects. To test this the officials also measured 4 balls from the opposing team (Indianapolis Colts) to be used in comparison and found a mean psi of 12.63, with a standard deviation of 0.12. There is no significant skewness or outliers in the data. Use the t-distribution to determine if the average air pressure in the New England Patriot’s balls was significantly less than the average air pressure in the Indianapolis Colt’s balls.Let group 1 and group 2 be the air pressure in the New England Patriot’s balls and…

Find the P-value with z-score (1) if doing a right-tail hypothesis test

When the Titanic sank, passenger survival rates were recorded along with additional information like their name, what class ticket they had, their age, and whether or not they had children. Some of these factors may predict whether or not a passenger was likely to survive the accident. The data set "Titanic survival.jasp" contains actual recorded data from the event. Using the variables "Class" and "Survived", conduct a Chi-Square Test for Independence, at alpha = 0.05, to see if a passengers ticket class (first, second, or third class) is significantly associated with their survival rates. What is the value of X2-crit?   A. 127.86 B. 1309 C. 7.38 D. 5.99

Only Answer Question 15. Question 15 has parts to it, would love all the parts to be answered please.

I want full answers with conclusions for each part  PLZ write with clear writing and don't copy the answer from other solution