Answer the following questions please Study Description: Dance Dance Revolution

Question

Answer the following questions please

Study Description: Dance Dance Revolution Unnithan, Houser, and Fernhall (2006) were interested in whether playing the game Dance Dance Revolution (DDR) affected the heart rate of overweight adolescents differently than it affected non-overweight adolescents. Twenty-two adolescents, 10 classified as overweight and 12 as not overweight, played DDR for 12 minutes, while the researchers measured each participant's heart rate. On average, the researchers found no difference between the heart rate of the two groups Reference: Ref 7-2 (Study Description: Dance Dance Revolution) Which of the following statements is the research hypothesis for this study? O There will be no difference in the heart rates of the two groups after both groups play Dance Dance Revolution. o The heart rate of the overweight group will be faster than that of the non-overweight group after both groups play Dance O The heart rate of the non-overweight group will be faster that of the overweight group after both groups play Dance Dance Dance Revolution. Revolution. The heart rates of the overweight group and the non-overweight group will differ after both groups play Dance Dance Revolution. Save

Explanation / Answer

Solution7;

Option(A)

In Hypothesis testing

We define Null and Alternate Hypothesis,

Null hypothesis claims that there is no significant difference in population parameter.

Here there will be no difference in the heart rates of the two groups after both the groups play Dance Dance Revolution.

tatistical Hypotheses

The best way to determine whether a statistical hypothesis is true would be to examine the entire population. Since that is often impractical, researchers typically examine a random sample from the population. If sample data are not consistent with the statistical hypothesis, the hypothesis is rejected.

Explanation on Null Hypothesis:

There are two types of statistical hypotheses.

Hypothesis Tests

Statisticians follow a formal process to determine whether to reject a null hypothesis, based on sample data. This process, called hypothesis testing, consists of four steps.

Solution8:

OptionC

statistically significant means that the research result was unlikely to have occured by chance.

Explanation:

Not Due to Chance

In principle, a statistically significant result (usually a difference) is a result that's not attributed to chance.

More technically, it means that if the Null Hypothesis is true (which means there really is no difference), there's a low probability of getting a result that large or larger.

Statisticians get really picky about the definition of statistical significance, and use confusing jargon to build a complicated definition. While it's important to be clear on what statistical significance means technically, it's just as important to be clear on what it means practically.

Solution9

OptionB:

Z score

Statisticians often talk about the position of a value, relative to other values in aset of observations. The most common measures of position are percentiles, quartiles, and standard scores (aka, z-scores)

A standard score (aka, a z-score) indicates how many standard deviations an element is from the mean. A standard score can be calculated from the following formula.

z = (X - ) /

where z is the z-score, X is the value of the element, is the mean of the population, and is the standard deviation.

Here is how to interpret z-scores.

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