The CDC publishes charts on Body Mass Index (BMI) for boys and girls of different ages. Based on the chart for girls, the mean BMI for 6-year-old girls is listed as 15.8 kg/m2. The data from which the CDC charts were developed is old and there is concern that the mean BMI for 6 year olds girls has increased.
The BMI’s from a current random sample of 50 6-year-old girls is attached in a list on the next page. Use this data of current six-year girls to test the claim that the mean BMI for current girls is greater than 15.8 (thus, testing that the mean BMI for six-year-old girls has increased since the chart was made).
1. State the claim, null hypothesis, and alternate hypothesis in symbols.
Claim:
H0 : ?
H1: ?
2. Copy and paste the sample of 50 BMI’s into stat crunch. Calculate the mean and standard deviation for the sample.
Mean = ?
Standard deviation = ?
3. Use stat crunch to run a hypothesis test for mean. Go to stat > t-stats > one-sample > with data. (you can also choose “with summary” and enter your sample mean and sample standard deviation from part 2)
**Enter your information for your null hypothesis and alternative hypothesis (make sure to select the appropriate inequality sign for your alternate hypothesis).
Record your p-value: ____________
4. Based on your p-value, do you reject your null hypothesis or fail to reject your null hypothesis? Use a 0.05 significance level.
5. Based on your answer #3 and #4, does the sample data provide sufficient evidence that the mean BMI for 6-year-old girls has increased? Explain.
Math 1740 92 Week 7 – Hypothesis Testing Assignment
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