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13-07-2019

Product code Statistics-PH472

ANOVA, Chi-Square, and Binomial Tests

1. Analysis of Variance: A study was performed on fivesubjects to determine how environmental conditions such as temperature affect pulse. The fivesubjects were exposed to four different temperatures for 30 minutes before their pulse was taken. The data is recorded in the following table.

Perform an ANOVA test to determine whether or not pulse is affected by the external temperature. Use an α = 0.05. Reference Section 12.3 of Statistics for the Behavioral Sciences for assistance.

 Temperature Pulse (bpm) 40° F 82 81 98 90 75 60° F 68 74 92 88 72 80° F 71 69 90 87 70 100° F 78 75 97 92 73

1. State the null hypothesis.

1. State the alternative hypothesis.

1. Calculate dfbetween (also known as dfNumerator).

1. Calculate dfwithin (also known as dfDenominator).

1. Use the values for dfN and dfD you calculated with an α = 0.05 to determine the expected F-ration. (Use Table B.4 “The FDistribution.”)

1. Calculate the total (∑x) for each treatment condition (T).

1. Calculate the sum of all scores in the research study (G=∑T).

1. Calculate the sum of squares (SS) for each treatment conditions where:.

1. Calculate SSTOTALwhere: .

1. Calculate SSWITHIN where SSWITHIN=∑SSinside each treatment.

1. Calculate SSBETWEEN where .

• Calculate dfTOTAL.(Remember that you calculated dfBETWEEN and dfWITHIN in parts c and d.)

1. Calculate MSBETWEENwhere MSBETWEEN = .

• Calculate MSWITHINwhere MSWITHIN = .

• Calculate the actual F-ration where F = .

1. Based on the values you have calculated in this problem, should you accept or reject the null hypothesis?

1. Based on your conclusion in part p, does temperature affect pulse rate based on this experiment?

1. Chi-Square: Friedman and Roseman (1974) have suggested that personality type is related to heart disease. Specifically, Type A people, who are competitive, driven, pressured, and impatient, are more prone to heart disease. On the other hand, Type B individuals, who are less competitive and more relaxed, are less likely to have heart disease. The data is reported in the following table.

Perform a Chi-square test to determine whether or not there is a relationship between personality and heart disease. Use an alpha value of α = 0.05. Reference Section 17.3 and Demonstration 17.1 of Statistics for the Behavioral Sciences for assistance.

 Heart Vascular Hypertension None Type A Personality 38 27 43 70 Type B Personality 22 23 17 120

1. State the null hypothesis.

1. State the alternative hypothesis.

1. Calculate the degrees of freedom (df).

1. Locate the critical region (Use Table B.8 “The Chi-Square Distribution.”)

1. Calculate the row and column totals.Record your results in the following table:

 Heart Vascular Hypertension None fc Type A Personality 38 29 43 60 Type B Personality 18 22 14 126 fr

1. Calculate n.

1. Calculate the expected frequencies (fc) and record in the following table:

 Personality Disease Type A Personality Heart Vascular Hypertension None Type B Personality Heart Vascular Hypertension None

1. Perform the calculations in the following table to calculate: .

 Type A: Heart 38 Type A: Vascular 29 Type A: Hypertension 43 Type A: None 60 Type B: Heart 18 Type B: Vascular 22 Type B: Hypertension 14 Type B: None 126

1. Calculate the chi-square statistic: .

1. Based on the chi-square statistic you calculated above and the critical region that you determined earlier, should you accept or reject the null hypothesis?

1. Based on your conclusion in part j, is there a connection between personality type and disease?

1. Binomial Test: A new medication that is designed to decrease anxiety was tested on 87 individuals that have been diagnosed with chronic depression. After the study, 36 of the test subjects reported a noticeable decrease in their anxiety and the other 51 subjects reported that they had noticed no change in their anxiety levels.

Perform a binomial test on this dataset to determine whether or not the drug decreases anxiety in people with chronic depression. Reference Sections 18.1 and 18.2 of Statistics for the Behavioral Sciences for assistance.

1. State the value on n (the total number of subjects).

1. State the value X (the number of subjects who reported a decrease in anxiety).

1. State the null hypothesis.

1. State the alternative hypothesis.

1. Find the critical region using an alpha value of 0.05. (Use Table B.1 “The Unit Normal Table.”)

1. Calculate the z-score. (Use equation 18.1.)

1. Given this result, do you reject the null hypothesis?

1. Based on your conclusions, does this medication help to reduce the anxiety of patients with chronic depression?

a. State the null hypothesis. H0: ?1 = ?2 = ?3 ... = ?k b. State the alternative hypothesis. H1: Means are not all equal. c. Calculate dfbetween (also known as dfNumerator). 1.7 d. Calculate dfwithin (also known as dfDenominator). 2.3 e. Use the values for dfN and dfD you calculated with an ? = 0.05 to determine the expected F-ration. (Use Table B.4 “The FDistribution.”)

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