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Digiron [165]
3 years ago
11

Share with your peers the null and alternative hypotheses for a decision that is relevant to your life. This can be a personal i

tem or something at work. Define the population parameter, the appropriate test statistic formula, and if the hypothesis test is left-tailed, right-tailed, or two-tailed. Be sure to set up your hypotheses, too. How did you decide on constructing these hypotheses? What level of significance would you use? Why? The population parameters that you should use for this discussion are: μ: the population mean or p: the population proportion Be sure to include numerical values for your variables. Additionally, identify the Type I and Type II Errors that could occur with your decision‐making process.
Mathematics
1 answer:
k0ka [10]3 years ago
7 0

Answer:

Check the explanation

Step-by-step explanation:

The average amount of the exercise hours at the same time as I am at my home town is 50 hours a month

Does this diverge from average exercise while I am not in my home town? This is 46 hours

So,

Null: H0: μ = 30

H1: μ ≠ 30

Two tail test

Formula:

z = (46 - 50)/SD

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2 years ago
Assume that you have paired values consisting of heights​ (in inches) and weights​ (in lb) from 40 randomly selected men. The li
Over [174]

Answer:

The value of the coefficient of determination is 0.263 or 26.3%.

Step-by-step explanation:

<em>R</em>-squared is a statistical quantity that measures, just how near the values are to the fitted regression line. It is also known as the coefficient of determination.

A high R² value or an R² value approaching 1.0 would indicate a high degree of explanatory power.

The R-squared value is usually taken as “the percentage of dissimilarity in one variable explained by the other variable,” or “the percentage of dissimilarity shared between the two variables.”

The R² value is the square of the correlation coefficient.

The correlation coefficient between heights​ (in inches) and weights​ (in lb) of 40 randomly selected men is:

<em>r</em> = 0.513.

Compute the value of the coefficient of determination as follows:

R^{2}=(r)^{2}\\=(0.513)^{2}\\=0.263169\\\approx0.263

Thus, the value of the coefficient of determination is 0.263 or 26.3%.

This implies that the percentage of variation in the variable height explained by the variable weight is 26.3%.

3 0
3 years ago
What is 7 x 5/8 because I’m so lost
svetoff [14.1K]

*☆*――*☆*――*☆*――*☆*――*☆*――*☆*――*☆*――*☆**☆*――*☆*――*☆*――*☆

Answer: 4.375

I hope this helped!

<!> Brainliest is appreciated! <!>

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3 years ago
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Which of the following is the major negative aspect of crossover designs for research studies? A. Prohibitive cost B. Residual e
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D. Incomplete randomization

Step-by-step explanation:

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