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- What is an experiment?The sample size is 41, P-value is 0.041, and the significance level is 0.05. Consequently, we reject the null hypothesis.Suppose the results indicate that the null hypothesis should be rejected; thus, it is possible that a type I error has been committed. Given the type of error made in this situation, what could researchers do to reduce the risk of this error? Choose a 0.01 significance level, instead of a 0.05 significance level. Increase the sample size.
- Suppose the results indicate that the null hypothesis should not be rejected; thus, it is possible that a type II error has been committed. Given the type of error made in this situation, what could researchers do to reduce the risk of this error? Choose a 0.01 significance level, instead of a 0.05 significance level. Increase the sample size.3 The sample size is 41, P-value is 0.041, and the significance level is 0.05. Consequently, we reject the null hypothesis. Select one: True False1) Explain the use of test statistics and critical values to determine if sample data significantly disagree with the null hypothesis or not 2) Explain how to use the P-value and significance levels to determine if the sample data could have occured by random chance or if it's unlikely to occur by random chance 3) How do we write a conclusion to a hypothesis test?
- Using either the critical value rule or the p-value rule, if a one-sided null hypothesis for a single mean cannot be rejected at a given significance level, then the corresponding two-sided null hypothesis (i.e., the same sample size, the same standard deviation, and the same mean) will ______________ be rejected at the same significance level.A random sample of 319 front-seat occupants involved in head-on collisions in a certain region resulted in 95 who sustained no injuries. We wish to use this sample data to test whether the true proportion of uninjured occupants in head-on collisions exceeds 0.25 or not. What would your conclusions be for this test of hypothesis, given a 5% significance level?@@@@@ 3. In the case of hypothesis testing of one sample (for large samples): If α value is greater than the p – value, Therefore, we reject the alternative hypothesis. :True or False:
- 1. Find the null and alternative hypothesis and the random variable 2. Calculate the test statistic using your data 3. Draw a graph and label it appropriately. Shade the actual level of significance.describe the steps in the process of statistical hypothesis testing. When stating the conclusion, why do we never accept the null hypothesisSubtracting the null-hypothesis value from a sample statistic and dividing by the standard error ... Options: Allows us to ignore the problem of response bias Allows us to divide the resulting p-value by two Tells us what the true population parameter’s value is with 95 percent certainty Places the sample statistic within a standardized sampling distribution by removing characteristics specific to this particular sampling distribution
