If the critical t-stat for alpha 0.05 two tailed is s 2.021, is the result significant? no, p. 0.05 yes, p > 0.05 no, p<0.05 yes, p<0.05

On March 2005, a poll surveyed 535 adults aged 18 years old or older and asked “ Do you think there is life on other planets or not?. Of the 535, 326 responded yes. same question was asked on September3,2000, 385 of the 535 individuals surveyed said yes. Can you conclude that the proportion has decreased at alpha = 0.05 level of significance.

1.A researcher conducts an independent-measures study comparing two treatments and reports the t statistic as t(30) = 2.085.  a.How many individuals participated in the entire study? b.Using a two-tailed test with α = .05, is there a significant difference between the two treatments? Explain.

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. Identify the correct value for df.   A. 2 B. 1309 C. 4 D. 127

A consumer group claims that the mean minimum time it takes for a sedan to travel a quarter mile is greater than 14.8 seconds. A random sample of 22 sedans has a mean minimum time to travel a quarter mile of 15.5 seconds and a standard deviation of 2.09 seconds. At α=0.01 is there enough evidence to support the consumer​ group's claim? Complete parts​ (a) through​ (d) below. Assume the population is normally distributed   ​(a) Identify the claim and state H0 and Ha.  b) THe claim is the _______ hypothesis. c) t= d) p= e) Decide whether to reject or fail to reject the null hypothesis. f) Interpret the decision in the context of the original claim.

A consumer group claims that the mean minimum time it takes for a sedan to travel a quarter mile is greater than 14.8 seconds. A random sample of 24 sedans has a mean minimum time to travel a quarter mile of 15.5 seconds and a standard deviation of 2.08 seconds. At α=0.10 is there enough evidence to support the consumer​ group's claim? Complete parts​ (a) through​ (d) below. Assume the population is normally distributed.       ​(a) Identify the claim and state H0 and Ha.   H0:  muμ   ▼     enter your response here Ha:  ▼   sigma squaredσ2 muμ sigmaσ pp ▼   not equals≠ greater than or equals≥ greater than> less than< less than or equals≤ equals= enter your response here ​(Type integers or decimals. Do not​ round.)   The claim is the ▼   alternative null hypothesis.

What is the critical value at an alpha of .01 as a 1-tailed test, and based on its calculation what should the decision be? What is the possible error made? Was there an error?

Two independent samples are selected at random from two normal populations, where the unknown population variances are assumed to be equal. The sample statistics are as follows: n₁=20,x=40,s=18,n₂=10x₂=34 and $₂=16. Assume that a two-tailed hypothesis test is conducted at α = .05, what is the upper critical value? a. t = 2.0484 b. z = 1.96 c. t = 1.7011 d. z = 1.65 e. t = 1.562

The NAEP considers that a national average of 283 is an acceptable performance. Using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2019 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2019 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?