When testing the hypothesized equality of two population means, the implied null hypothesis is ________. A) H0: µ1= 0 B) H0: µ1− µ2 = 0 C) H0: µ2= 0 D) H0: µ1− µ2≠ 0

11 12 13 A hypothesis test is to be performed. Determine the null and alternate hypotheses. In 1994, the average duration of long-distance telephone calls originating in one town was 7.1 minutes. A long-distance telephone company wants to perform a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 1994 mean of 7.1 minutes. Hoiu =7.1minutes H:p>7.1minutes Ho =7.1minutes H,:µ z7.1minutes Hpz7.1minutes H, :µ=7.1minutes Ho:u =7.1minutes H:µ <7.1mlnutes Submit Assignme Continue O 2021 McGraw-Hill Education. All Rights Reserved. Terms of Use Privacy Accessib SAMSUNG $ % %23 8. 6

Given the two independent samples below, conduct a hypothesis test for the desired scenario. Assume all populations are approximately normally distributed. Sample 1 Sample 2  n1= 953  n2= 880  x¯1= 381  x¯2= 456 s1= 156 s2= 170       Test the claim: Given the null and alternative hypotheses below, conduct a hypothesis test for α=0.05.H0: μ1=μ2Ha: μ1≠μ2  Given the alternative hypothesis, the test is      Determine the test statistic. Round to four decimal places.t= Find the pp-value. Round to 4 decimals.p-value =  Make a decision. Fail to reject the null hypothesis. Reject the null hypothesis.

Scenario: 200 people were asked, “Who is your favorite superhero?” Below are the data.  Test the null hypothesis that the population frequencies for each category are equal.  α= .05. Iron Man Black Panther Wonder Woman Spiderman fo = 40 fo = 60 fo =55 fo = 45 fe = fe = fe = fe =   What is the correct result based on the data?

20. Which of the following is a null hypothesis?   a. Pregnant women who drink cranberry juice will have lower urine bacterial counts than those who do not drink cranberry juice. b. The urine bacterial count of pregnant women who drink cranberry juice will be lower or equal to that of pregnant women who do not drink the juice. c. There will be a difference between ingestion of cranberry juice and among pregnant women who do and do not have high urine bacterial counts.

Formulate research problems and hypotheses to test the effect between 2 variables (variable X and variable Y). The following presents quantitative data from the measurement results of variables X and Y from a number of individuals (sample) taken randomly from a certain population. The distribution of the measurement data is as follows: No. Resp. 1 2 3 456 789 10 11 12 13 14 15 16 Var.X 11 22 9 5 25 10 13 12 17 16 20 15 18 19 23 28 Var.Y 17 30 12 9 34 15 20 19 24 22 29 21 25 27 31 36 Based on these data, solve the following statistical problems: d. What is the direction of the relationship formed between the X variable and the Y variable?

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20% of all college students volunteer their time. Is the percentage of college students who are volunteers smaller for students receiving financial aid? Of the 326 randomly selected students who receive financial aid, 46 of them volunteered their time. What can be concluded at the αα = 0.05 level of significance? Z- test for a population proportion The null and alternative hypotheses would be:       H0:H0: p =  __?__  (please enter a decimal)           H1:H1:  p is ( choose one   <, = or not equal)           ____?___ncorr  __?__(Please enter a decimal)     The test statistic z=    __?__(please show your answer to 3 decimal places.)   The p-value =  __?__(Please show your answer to 4 decimal places.)     Thus, the final conclusion is that ... a. The data suggest the population proportion is not significantly lower than 20% at αα = 0.05, so there is insufficient evidence to conclude that the percentage of financial aid recipients who volunteer is lower than 20%. b. The data…

You may need to use the appropriate technology to answer this question. The following data are from a completely randomized design. In the following calculations, use a = 0.05. Treatment Treatment Treatment 3 64 82 69 47 71 53 54 87 60 35 64 46 50 76 57 148.67 108.67 96.67 (a) Use analysis of variance to test for a significant difference among the means of the three treatments.

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