A multinomial experiment produced the following results: (You may find it useful to reference the appropriate table: chi-square table or F table) Category Frequency 2 3 4 5 70 42 72 64 62 a. Choose the appropriate alternative hypothesis to test if the population proportions differ. O All population proportions differ from 0.20. O Not all population proportions are equal to 0.20. b. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic c. Find the p-value. O 0.05 s p-value < 0.10 O 0.025 s p-value < 0.05 O 0.01 s p-value < 0.025 O p-value < 0.01 O p-value 2 0.1o d. Can we conclude at the 10% significance level that the population proportions are not equal? O No, since the p-value is less than the significance level. O Yes, since the p-value is less than the significance level. O No, since the p-value is more than the significance level.

Given the following boxplot, what is the second quartile value for these data? Round to one decimal place. 2.2 3.1 V 3.6 4.8 7.1

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I need help with stats, section 7.2 and 7.3, please help with TI-84 calculator commands Test the claim about the population​ mean, μ​, at the given level of significance using the given sample statistics.   ​Claim: μ=40​; α=0.01​; σ=3.17. Sample​ statistics: x=38.1​, n=72   Identify the null and alternative hypotheses. Write out the correct null and alternative hypotheses.           Calculate the standardized test statistic: The standardized test statistic is ________________ (round to 2 decimal places as needed)   Determin the critical value(s).  Select the correct choice below and fill in the answer box to complete your choice.  (round to 2 decimal places as needed) a. the critical value is ______________ b. the critical values are + _ ___________   Determine the outcome and conclusion of the test.  Choose the correct answer below. A. fail to reject Ho.  AT the 1% significane level, there is not enough evidence to reject the claim. B. fail to reject Ho.  At the 1% significance…