Is there a link between dark chocolate and weight loss when compared to milk chocolate? A nutritionist asks 5 friends to eat dark chocolate along with their usual food for 6 months and 5 other friends to eat milk chocolate along with their usual food for 6 months. The nutritionist then compares their weight after the 6 months to their weight before eating the different chocolates.     10) What type of study does this describe?

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A: The null and alternative hypotheses for the test are:   H0: The smoking does not affect the ease…

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A: Given: n1=34 , n2=33, x1=15.2, x2=19.5, σ1=7.6, σ2=4.8 The hypothesis that can be derived is: H0:…

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Q: Education influences attitude and lifestyle. Differences in education are a big factor in the…

A: From the provided information,

Q: dence that a d ical evidence t istical evidenc

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A: Please find the explanation below. Thank you

Q: Use the Plan, Solve and Conclude steps in answering this question

A:

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Q: I need help with finding the P-value

A: The test statistic is, z=x¯1-x¯2σ12n1+σ22n2=15.2-19.76.8230+4.8234=-4.51.48962424529=-3.0209≈-3.02…

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Q: Education influences attitude and lifestyle. Differences in education are a big factor in the…

A: a) The level of significance is 0.05.

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A:

Q: Education influences attitude and lifestyle. Differences in education are a big factor in the…

A: The provided sample means are shown below: Xˉ1=15.2\bar X_1 = 15.2 (For older people) Xˉ2=19.5\bar…

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A: Given that

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A:

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Q: Education influences attitude and lifestyle. Differences in education are a big factor in the…

A: We have given that  Sample size n1= 38 , n2= 37 Sample mean x1 = 15.2%=0.152 x2= 18.1%=0.181 Known…

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.