smileycellist2

2020-11-23

The accompanying two-way table was constructed using data in the article “Television Viewing and Physical Fitness in Adults” (Research Quarterly for Exercise and Sport, 1990: 315–320). The author hoped to determine whether time spent watching television is associated with cardiovascular fitness. Subjects were asked about their television-viewing habits and were classified as physically fit if they scored in the excellent or very good category on a step test. We include MINITAB output from a chi-squared analysis. The four TV groups corresponded to different amounts of time per day spent watching TV (0, 1–2, 3–4, or 5 or more hours). The 168 individuals represented in the first column were those judged physically fit. Expected counts appear below observed counts, and MINITAB displays the contribution to $\left({x}^{2}\right)$ from each cell.

State and test the appropriate hypotheses using $\alpha =0.05$

$\begin{array}{|cccc|}\hline & 1& 2& Total\\ 1& 35& 147& 182\\ & 25.48& 156.52& \\ 2& 101& 629& 730\\ & 102.20& 627.80& \\ 3& 28& 222& 250\\ & 35.00& 215.00& \\ 4& 4& 34& 38\\ & 5.32& 32.68& \\ Total& 168& 1032& 1200\\ \hline\end{array}$

$Chisq=3.557+0.579+0.014+0.002+1.400+0.228+0.328+0.053=6.161$

$df=3$

Demi-Leigh Barrera

Skilled2020-11-24Added 97 answers

Step 1

Testing for Independence - Lack of Association

When testing null hypothesis

versus alternative hypothesis

Let

under regularity conditions, test statistic value is

has approximated a chi-square distribution with (I - 1)(J - 1) degrees of freedom when

The P-value is corresponding area to the right of

The null hypothesis is

versus alternative

Critical value, from the table in the appendix, is given by

and the calculated

thus, since

do not reject null hypothesis at given significance level. The data indicates that there is no association between variables.

Read carefully and choose only one option

A statistic is an unbiased estimator of a parameter when (a) the statistic is calculated from a random sample. (b) in a single sample, the value of the statistic is equal to the value of the parameter. (c) in many samples, the values of the statistic are very close to the value of the parameter. (d) in many samples, the values of the statistic are centered at the value of the parameter. (e) in many samples, the distribution of the statistic has a shape that is approximately NormalConstruct all random samples consisting three observations from the given data. Arrange the observations in ascending order without replacement and repetition.

86 89 92 95 98.Find the mean of the following data: 12,10,15,10,16,12,10,15,15,13.

The equation has a positive slope and a negativey-intercept.

1) y=−2x−3

2) y=2−3x

3) y=2+3x

4) y=−2+3xWhat term refers to the standard deviation of the sampling distribution?

Fill in the blanks to make the statement true: $30\%of\u20b9360=\_\_\_\_\_\_\_\_$.

What percent of $240$ is $30$$?$

The first 15 digits of pi are as follows: 3.14159265358979

The frequency distribution table for the digits is as follows:

$\begin{array}{|cc|}\hline DIGIT& FREQUENCY\\ 1& 2\\ 2& 1\\ 3& 2\\ 4& 1\\ 5& 3\\ 6& 1\\ 7& 1\\ 8& 1\\ 9& 3\\ \hline\end{array}$

Which two digits appear for 3 times each?

A) 1, 7

B) 2, 6

C) 5, 9<br<D) 3, 8How to write

as a percent?$\frac{2}{20}$ What is the simple interest of a loan for $1000 with 5 percent interest after 3 years?

What number is 12% of 45?

The probability that an automobile being filled with gasoline also needs an oil change is 0.30; the probability that it needs a new oil filter is 0.40; and the probability that both the oil and the filter need changing is 0.10. (a) If the oil has to be changed, what is the probability that a new oil filter is needed? (b) If a new oil filter is needed, what is the probability that the oil has to be changed?

Leasing a car. The price of the car is$45,000. You have $3000 for a down payment. The term of the lease is and the interest rate is 3.5% APR. The buyout on the lease is51% of its purchase price and it is due at the end of the term. What are the monthly lease payments (before tax)?

The mean of sample A is significantly different than the mean of sample B. Sample A: $59,33,74,62,87,73$ Sample B: $53,67,72,57,93,79$ Use a two-tailed $t$-test of independent samples for the above hypothesis and data. What is the $p$-value?

What is mean and its advantages?