/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q. T10.9 Are TV commercials louder than t... [FREE SOLUTION] | 91影视

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Are TV commercials louder than their surrounding programs? To find out, researchers collected data on 50randomly selected commercials in a given week. With the television鈥檚 volume at a fixed setting, they measured the maximum loudness of each commercial and the maximum loudness in the first 30seconds of regular programming that followed. Assuming conditions for inference are met, the most appropriate method for answering the question of interest is

a. a two-sample t test for a difference in means.

b. a two-sample t interval for a difference in means.

c. a paired t test for a mean difference.

d. a paired t interval for a mean difference.

e. a two-sample z test for a difference in proportions.

Short Answer

Expert verified

Option(e) A two-sample z test for a difference in proportions is the most appropriate method for this question.

Step by step solution

01

Given information

We need to find most appropriate method for answering the question.

02

Simplify

In general, we know that there is a one-sample z test for each proportion.
However, there is a two-sample z test for two proportions.
Similarly, there is one sample t test for one mean and two sample t tests or intervals or paired t tests or intervals for two means.

For checking a difference, equality, increase, or reduction, use a test.
To estimate an interval in which the true value lies, use an interval.
Therefore, a two-sample z test for a difference in proportions in this query because we need to estimate the difference between the two proportions.
As a result, option (e) is the proper choice.

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Most popular questions from this chapter

The correlation between the heights of fathers and the heights of their grownup sons, both measured in inches, isr=0.52. If fathers鈥 heights were measured in feet instead, the correlation between heights of fathers and heights of sons would be

a. much smaller than 0.52.

b. slightly smaller than 0.52.

c. unchanged; equal to 0.52.

d. slightly larger than 0.52.

e. much larger than 0.52.

Researchers suspect that Variety A tomato plants have a different average yield than Variety B tomato plants. To find out, researchers randomly select10Variety A and10Variety B tomato plants. Then the researchers divide in half each of10small plots of land in different locations. For each plot, a coin toss determines which half of the plot gets a Variety A plant; a Variety B plant goes in the other half. After harvest, they compare the yield in pounds for the plants at each location. The10differences (Variety A 鈭 Variety B) in yield are recorded. A graph of the differences looks roughly symmetric and single-peaked with no outliers. The mean difference is x-=0.343051526=0.200=20%x-A-B=0.34and the standard deviation of the differences is s A-B=0.833051526=0.200=20%=sA-B=0.83.LetA-B=3051526=0.200=20%渭A鈭払 = the true mean difference (Variety A 鈭 Variety B) in yield for tomato plants of these two varieties.

The P-value for a test of H0: 渭A鈭払=03051526=0.200=20%versus Ha: 渭A鈭払鈮0 is 0.227. Which of the following is the

correct interpretation of this P-value?

a. The probability that 渭A鈭払 is0.227.

b. Given that the true mean difference (Variety A 鈥 Variety B) in yield for these two varieties of tomato plants is0, the probability of getting a sample mean difference of0.34is0.227.

c. Given that the true mean difference (Variety A 鈥 Variety B) in yield for these two varieties of tomato plants is0, the probability of getting a sample mean difference of0.34or greater is0.227.

d. Given that the true mean difference (Variety A 鈥 Variety B) in yield for these two varieties of tomato plants is0, the probability of getting a sample mean difference greater than or equal to0.34or less than or equal to 鈭0.34is0.227.

e. Given that the true mean difference (Variety A 鈥 Variety B) in yield for these two varieties of tomato plants is not 0, the probability of getting a sample mean difference greater than or equal to 0.34or less than or equal to 鈭0.34is0.227.

Which of the following will increase the power of a significance test?

a. Increase the Type II error probability.

b. Decrease the sample size.

c. Reject the null hypothesis only if the P-value is less than the significance level.

d. Increase the significance level .

e. Select a value for the alternative hypothesis closer to the value of the null hypothesis.

Which of the following statements is false?

a. A measure of center alone does not completely summarize a distribution of quantitative data.

b. If the original measurements are in inches, converting them to centimeters will not change the mean or standard deviation.

c. One of the disadvantages of a histogram is that it doesn鈥檛 show each data value.

d. In a quantitative data set, adding a new data value equal to the mean will decrease the standard deviation.

e. If a distribution of quantitative data is strongly skewed, the median and interquartile range should be reported rather than the mean and standard deviation.

Sports Illustrated planned to ask a random sample of Division I college athletes, 鈥淒o you believe performance-enhancing drugs are a problem in college sports?鈥 Which of the following is the smallest number of athletes that must be interviewed to estimate the true proportion who believe performance-enhancing drugs are a problem within 2% with 90% confidence?

a.17b.21c.1680d.1702e.2401
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