A police department released the numbers of calls for the different days of the week during the month of October, as shown in the table to the right. Use a 0.01 significance level to test the claim that the different days of the week have the same frequencies of police calls. What is the fundamental error with this analysis? Day Sun Mon Tues Wed Thurs Fri Sat Frequency 154 209 221 245 176 214 237 Determine the null and altenative hypotheses. Họ: Police calls occur with the same frequency on the different days of the week. H: At least one day has a different frequency of calls than the other days. Calculate the test statistic, . 2= (Round to three decimal places needed.)

When would you want to use a goodness-of-fit test? What are the requirements for this test?

I need the test static, critical value , null & alternative hypothesis , conclusion & also probably p value Thankyou so much I need help kn working these out.

what type of hypothesis test should be performed? right tailed t test or left tailed t test

Using traditional methods it takes 99 hours to receive an advanced driving license. A new training technique using Computer Aided Instruction (CAI) has been proposed A researcher believes the new technique may reduce training time and decides to perform a hypothesis test. After performing the test on 130 students, the researcher decides to reject the null hypothesis at a 0.01 level of significance What is the conclusion? Answer O There is sufficent evidence at the 0.01 level of significance that the new technique reduces training time O There is not sufficient evidence at the 0.01 level of significance that the new technique reduces training time Tables Keypad Keyboard Shortcuts

What is the study’s generalizability from a sample to a population?     Centralizing theorem     Internal validity     External validity

Identify the claim and state Ho and H Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed, and whether to use a z-test, a t-test, or a chi-square test. Explain your reasoning. Find the critical value(s), identify the rejection region(s), and find the appropriate standardized test statistic. Decide whether to reject or fail to reject the null hypothesis. Interpret the decision in the context of the original claim. A government agency reports that the mean amount of earnings for full-time workers ages 25 to 34 with a master’s degree is less than $70,000. In a random sample of 15 full-time workers ages 25 to 34 with a master’s degree, the mean amount of earnings is $66,231 and the standard deviation is $5945.  At α = 0.05, is there enough evidence to support the agency’s claim?  Assume the population is normally distributed.

How do you test hypotheses with T-tests?