Many engaged women buy a wedding dress at least one size smaller than their current size, because they plan to lose an unhealthy amount of weight prior to their wedding. Researchers recorded the weights of 8 women on the day they purchased their dress and on the day they got married. Does the weight of engaged women change from the day they purchase their dress to their wedding day? The mean of the sample of difference scores was -2.31 and standard deviation of the difference scores = 2.45. STEP 1. Identify the variable, names of the groups being compared, and numerical information provided. • Variable: • Population/condition of interest: • Comparison population/condition: STEP 2. State the research and null hypotheses in words and symbols • Research: • Null: STEP 3. Characteristics of the comparison distribution. Identify/calculate the mean and standard deviation of the comparison distribution. Label the distribution.  STEP 4. Identify the critical value(s) for this test, label it (them) on the distribution, shade the rejection region(s). STEP 5. (a.) Calculate the test statistic, mark and label it on the comparison distribution. (b.) Use a Quick P-Value calculator (c.) Calculate effect size. STEP 6. State the hypothesis-testing conclusion, in words in terms of this test, including effect size if the test result is statistically significant.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 2GP
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Many engaged women buy a wedding dress at least one size smaller than their current size, because they plan
to lose an unhealthy amount of weight prior to their wedding. Researchers recorded the weights of 8 women on
the day they purchased their dress and on the day they got married. Does the weight of engaged women change
from the day they purchase their dress to their wedding day? The mean of the sample of difference scores
was -2.31 and standard deviation of the difference scores = 2.45.
STEP 1. Identify the variable, names of the groups being compared, and numerical information provided.
• Variable:
• Population/condition of interest:
• Comparison population/condition:
STEP 2. State the research and null hypotheses in words and symbols
• Research:
• Null:
STEP 3. Characteristics of the comparison distribution.
Identify/calculate the mean and standard deviation of the comparison distribution. Label the distribution. 

STEP 4. Identify the critical value(s) for this test, label it (them) on the distribution, shade the rejection region(s).
STEP 5. (a.) Calculate the test statistic, mark and label it on the comparison distribution. (b.) Use a Quick P-Value
calculator (c.) Calculate effect size.
STEP 6. State the hypothesis-testing conclusion, in words in terms of this test, including effect size if the test result
is statistically significant. 
STEP 7. IF the hypothesis-testing result is an error, what type of error is it - Type I or Type II? Explain what this error would be in words in terms of this test of hypothesis.
STEP 8. Calculate a 95% confidence interval. Show the formulas, the numbers plugged in, and final answers.
Interpret your confidence interval

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