Question

In: Statistics and Probability

A recent study examined the effect of diet cola consumption on calcium levels in women. A...

A recent study examined the effect of diet cola consumption on calcium levels in women. A sample of 16 healthy women aged 18 – 40 were randomly assigned to drink 24 ounces of either diet cola or water. Their urine was collected for three hours after ingestion of the beverage and calcium excretion (in mg) was measured. The researchers were investigating whether diet cola leaches calcium out of the system, which would increase the amount of calcium in the urine for diet cola drinkers. The data are given below and are stored in the ColaCalcium data set.

Diet Cola 50 62 48 55 58 61 58 56

Water 48 46 54 45 53 46 53 48

1. By hand, find 10 bootstrap samples of each and sketch a dotplot showing the means of the samples. Also indicate the mean of the original data and the samples.

2. Find 1000 bootstrap samples of each and take a screen shot of the resulting bootstrap distributions and paste them in the paper.

3. Does it appear that the mean calcium lost for women who drink diet cola is more than for women who drink water? Justify your answer.

4. Identify the Standard Error for each data set then construct a 95% confidence interval to estimate the size of the effect

Solutions

Expert Solution

1)

Bootstrap sampling with hands: We now re-sample with replacement from our sample to form what is known as bootstrap samples. Each bootstrap sample will have a size of 8, just like our original sample. Since we randomly selecting and then are replacing each value, the bootstrap samples may be different from the original sample and from each other.

Original Bootstrap resampling
N Diet Cola B1 B2 B3 B4 B5 B6 B7 B8 B9 B10
1 50 50 55 48 55 48 61 58 56 55 61
2 62 55 61 55 50 58 58 50 55 50 62
3 48 58 58 62 58 61 55 62 56 48 55
4 55 61 48 58 61 55 48 61 48 48 62
5 58 55 62 58 48 56 61 48 50 55 56
6 61 56 50 56 61 56 50 55 61 58 58
7 58 48 61 61 56 48 50 50 62 56 61
8 56 61 50 61 55 61 56 56 48 55 52
Mean 56 55.5 55.625 57.375 55.5 55.375 54.875 55 54.5 53.125 58.375

1 sample is the original data sample mean.

Original Bootstrap resampling
N Water B1 B2 B3 B4 B5 B6 B7 B8 B9 B10
1 48 54 54 46 45 48 46 53 53 48 53
2 46 45 46 54 46 46 48 54 54 45 54
3 54 53 53 45 53 53 53 53 54 46 48
4 45 53 53 53 46 45 53 46 46 46 48
5 53 46 46 46 48 54 46 48 45 53 46
6 46 53 53 53 54 53 54 46 48 54 53
7 53 48 48 48 54 46 45 53 56 53 46
8 48 46 46 48 53 46 48 45 55 45 45
Mean 49.125 49.75 49.875 49.125 49.875 48.875 49.125 49.75 51.375 48.75 49.125

2)

1000 bootstrap samples of diet cola from statkey

1000 bootstrap samples of water

3)

Carried test for difference in mean in statkey assuming both means are same. The right p vlaue = 0.025 which shows the result is significant thus we reject null hypothesis and accept alternate hypothesis. Thus we conclude that mean calcium is more in diet cola as compared to water.

4)

As calculated in plots above

The standard error of 1000 samples of diet cola = 0.678

Mean of 1000 samples of diet cola = 55.973

The standard error of 1000 samples of Water = 0.515

Mean of 1000 samples of water = 49.260

The sample mean diet cola = 56

the sample mean water = 49.125

s.e of sample diet cola= 1.742

s.e of sample water = 1.28

the standard deviation of diet cola = 4.928

the standard deviation of water = 3.642

The effect size of diet cola d =

= 56 - 55.973/4.928 = 0.005479

The effect size of water = 49.125 - 49.260/3.642 = -0.03706

Confidence interval(95%)

Diet Cola

56 +/- 2.63*4.928/sqrt(8) = 56 +/- 4.12 = [51.88, 60.12]

Water

49.125 +/-2.63*3.642/sqrt(8) = 49.125 +/- 3.04479 = [46.08021, 52.16979]


Related Solutions

A. Researchers examined the relationship between cola consumption and bone loss after fifty. One thousand women...
A. Researchers examined the relationship between cola consumption and bone loss after fifty. One thousand women were randomly sampled, everyone's cola consumption was recorded over a two month period of time, and bone density measures were also recorded. Researchers found that the more cola consumed, the lower the level of bone density. They concluded that cola consumption leads to loss of bone density. What type of study is this research and why? Identify the variables. Evaluation the internal validity. B....
Researchers examined the relationship between cola consumption and bone loss after fifty. One thousand women were...
Researchers examined the relationship between cola consumption and bone loss after fifty. One thousand women were randomly sampled, everyone's cola consumption was recorded over a two month period of time, and bone density measures were also recorded. Researchers found that the more cola consumed, the lower the level of bone density. They concluded that cola consumption leads to loss of bone density. What type of study is this research and why? Identify the variables. Evaluation the internal validity. Researchers examined...
A study was conducted concerning the effect of calcium supplementation on bone loss among postmenopausal women....
A study was conducted concerning the effect of calcium supplementation on bone loss among postmenopausal women. Women were randomized to 3 groups: estrogen cream and calcium placebo (n=15), placebo estrogen cream and 2000 mg/day of calcium (n=15), or placebo estrogen cream and calcium placebo (n=13). Subjects were seen every 3 months for a 2-year period. The rate of bone loss was computed for each woman and expressed as a percentage of the initial bone mass. The mean (+/- 1 sd)...
A study examined the average pay for men and women entering the workforce as doctors for...
A study examined the average pay for men and women entering the workforce as doctors for 21 different positions. (a) If each gender was equally paid, then we would expect about half of those positions to have men paid more than women and women would be paid more than men in the other half of positions. (b) Men were, on average, paid more in 19 of those 21 positions. Complete a hypothesis test using your hypotheses from part (a). 4....
A study examined the average pay for men and women entering the workforce as doctors for...
A study examined the average pay for men and women entering the workforce as doctors for 21 different positions. (a) If each gender was equally paid, then we would expect about half of those positions to have men paid more than women and women would be paid more than men in the other half of positions. Write appropriate hypotheses to test this scenario. (b) Men were, on average, paid more in 19 of those 21 positions. Complete a hypothesis test...
A research study examined the blood vitamin D levels of the entire US population of landscape...
A research study examined the blood vitamin D levels of the entire US population of landscape gardeners. The population average level of vitamin D in US landscapers was found to be 45.29 ng/mL with a standard deviation of 4.701 ng/mL. Assuming the true distribution of blood vitamin D levels follows a Gaussian distribution, if you randomly select a landscaper in the US, what is the likelihood that his/her vitamin D level will be between 57.21 and 60.85 ng/mL? Suppose at...
A research study examined the blood vitamin D levels of the entire US population of landscape...
A research study examined the blood vitamin D levels of the entire US population of landscape gardeners. The population average level of vitamin D in US landscapers was found to be 34.15 ng/mL with a standard deviation of 5.672 ng/mL. Assuming the true distribution of blood vitamin D levels follows a normal distribution, if you randomly select a landscaper in the US, what is the likelihood that his/her vitamin D level will be 49.72 ng/mL or less?
A recent study examined the effects of carbon monoxide exposure on a group of construction workers....
A recent study examined the effects of carbon monoxide exposure on a group of construction workers. The following table presents the numbers of workers who reported various symptoms, along with the shift (morning,  evening,  or night) that they worked. Morning Shift Evening Shift Night Shift Influenza 20 14 10 Headache 20 37 5 Weakness 8 18 8 Shortness of Breath 9 6 11 Send data to Excel Test the hypothesis of independence. Use the =α0.01 level of significance and the P-value method...
A recent study examined the effects of carbon monoxide exposure on a group of construction workers....
A recent study examined the effects of carbon monoxide exposure on a group of construction workers. The following table presents the numbers of workers who reported various symptoms, along with the shift (morning,  evening,  or night) that they worked. Morning Shift Evening Shift Night Shift Influenza 15 18 20 Headache 32 26 5 Weakness 16 11 6 Shortness of Breath 7 11 11 Send data to Excel Test the hypothesis of independence. Use the a=0.10 level of significance and the P-value method...
A researcher wanted to study the effect of type of diet on weight gain in mice....
A researcher wanted to study the effect of type of diet on weight gain in mice. The researcher was interested in 3 specific diets: standard mouse chow diet, “junk” food diet, and an organic diet.  A total of 54 mice were randomly assigned to receive one of the 3 types of diets (18 in each group). The outcome variable (response variable) was weight gain (in grams) over a 1 month period. The 3 data sets provided below are for the same...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT