In this exercise involving paired differences, consider that it is reasonable to assume the populations being compared have approximately the same shape and that the distribution of paired differences is approximately symmetric. Percents of on-time arrivals for flights in 2006 and 2007 were collected for 11 randomly selected airports. Suppose data for these airports follow. Airport 1 2 3 4 5 6 7 8 9 10 11 Percent On-Time 2006 71.78 68.69 68.23 78.98 78.59 76.67 78.71 75.78 77.67 2007 79.91 65.88 74.55 79.40 73.45 78.68 75.29 71.98 70.39 75.38 62.84 76.49 72.42 Use a = 0.05 to test the hypothesis that there is no difference between the median percent of on-time arrivals for the two years. State the null and alternative hypotheses. OH: Median percent on-time in 2006 - Median percent on-time in 2007 =0 H₂: Median percent on-time in 2006 - Median percent on-time in 2007 + 0 OH: Median percent on-time in 2006 - Median percent on-time in 2007 20 H₂: Median percent on-time in 2006 - Median percent on-time in 2007 < 0 O Ho: Median percent on-time in 2006 - Median percent on-time in 2007 * 0 H₂: Median percent on-time in 2006 - Median percent on-time in 2007 - 0 O Ho: Median percent on-time in 2006 - Median percent on-time in 2007 ≤ 0 H₂: Median percent on-time in 2006- Median percent on-time in 2007 > 0 O Ho: Median percent on-time in 2006 - Median percent on-time in 2007 > 0 H.₂: Median percent on-time in 2006 - Median percent on-time in 2007 = 0

Make a graphical display of the following data sets, choosing nay type of display that you feel is appropriate. Explain your choice of display and discuss any interesting features in the data.  The following table shows the perscentages of American men and women who had never been married in selected years since 1960.    Percentages of Adults Who Never Married  Year            Women        Men  1960             19.0%         25.3% 1980             22.5%         29.6%  2000             21.5%         31.3% 2015             28.9%         34.8%

When two births are randomly selected, the sample space for genders is bb, bg, gb, and gg. Assume that those four outcomes are equally likely. Construct a table that describes the sampling distribution of the sample proportion of girls from two births. Does the mean of the sample proportions equal the proportion of girls in two births? Does the result suggest that a sample proportion is an unbiased estimator of a 1 1 population proportion? For the entire population, assume the probability of having a boy is the probability of having a girl is, and this is not affected by how many boys or girls have previously been born. Determine the probabilities of each sample proportion. Sample proportion of girls ▼ ▼ ▼ Probability (Type integers or simplified fractions.)

Construct a quantile graph. Explain why or why not the data set provided has a normal distribution: 5.5, 6.0, 6.4, 5.7, 7.5, 4.5, 5.5, 5.6, 6.5, 6.0, 5.0, and 6.0. include the graph and response.

A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1– population 2, the sample mean difference was d = $870, and the sample standard deviation was s,= $1,125. (a) Formulate the null and alternative hype to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. 0> Prt :°H 0 = Pri :ºH O O Ho: Hdso H: H=0 (b) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Can you conclude that the population…

The second slide is the first part of the question and the first slide is the second part of the question.

In this exercise involving paired differences, consider that it is reasonable to assume the populations being compared have approximately the same shape and that the distribution of paired differences is approximately symmetric. A sample of 10 men was used in a study to test the effects of a relaxant on the time required to fall asleep. Suppose data for 10 subjects showing the number of minutes required to fall asleep with and without the relaxant follow. Relaxant Subject No Yes 1 14 14 9 2 13 10 3 23 12 4. 6 10 5 9 8 16 8 5 7 00 8 10 8 11 7 9 13 11 10 8 6 Use a 0.05 level of significance to determine whether the relaxant reduces the median time required to fall asleep. State the null and alternative hypotheses. Ho: Median time without relaxant - Median time with relaxant ≤ 0 Ha : Median time without relaxant - Median time with relaxant > 0 O Ho: Median time without relaxant - Median time with relaxant H : Median time without relaxant O Ho: Median time without relaxant - = 0 Median…

In this exercise involving paired differences, consider that it is reasonable to assume the populations being compared have approximately the same shape and that the distribution of paired differences is approximately symmetric. Two fuel additives are tested to determine their effect on miles per gallon for passenger cars. Suppose test results for 12 cars follow; each car was tested with both fuel additives. Additive Car 1 2 1 21.12 19.05 2 23.56 20.77 3 21.03 22.57 4 18.15 17.06 5 20.23 20.22 6 25.77 22.80 7 17.16 18.20 8 18.55 14.98 9 20.87 19.03 10 24.23 20.15 11 23.21 23.78 12 25.02 22.70 Use a = 0.05 and the Wilcoxon signed-rank test to see whether there is a significant difference between the median miles per gallon for the additives. State the null and alternative hypotheses. ⒸH: Median for additive 1 - Median for additive 2 2 0 H: Median for additive 1 - Median for additive 2 0 H₂: Median for additive 1 - Median for additive 2 = 0 ⒸH: Median for additive 1 - Median for…

In this exercise involving paired differences, consider that it is reasonable to assume the populations being compared have approximately the same shape and that the distribution of paired differences is approximately symmetric. Percents of on-time arrivals for flights in 2006 and 2007 were collected for 11 randomly selected airports. Suppose data for these airports follow. Airport 1 2 3 4 5 6 7 9 10 11 Percent On-Time 2006 71.78 68.23 78.98 78.71 78.59 76.67 What is your conclusion? 77.67 75.29 70.39 79.91 74.55 2007 68.69 65.88 79.40 Find the value of the test statistic. T = 63 ✓ 75.78 73.45 78.68 75.38 71.98 62.84 76.49 Use a = 0.05 to test the hypothesis that there is no difference between the median percent of on-time arrivals for the two years. State the null and alternative hypotheses. 72.42 O Ho: Median percent on-time in 2006 - Median percent on-time in 2007 = 0 H₂: Median percent on-time in 2006 - Median percent on-time in 2007 + 0 O Ho: Median percent on-time in 2006 -…

In this exercise involving paired differences, consider that it is reasonable to assume the populations being compared have approximately the same shape and that the distribution of paired differences is approximately symmetric. Two fuel additives are tested to determine their effect on miles per gallon for passenger cars. Suppose test results for 12 cars follow; each car was tested with both fuel additives.   Additive Car 1 2 1 20.12 18.05 2 24.56 22.77 3 23.03 23.57 4 19.15 16.06 5 20.23 21.22 6 24.77 22.80 7 16.16 17.20 8 18.55 15.98 9 21.87 20.03 10 25.23 22.15 11 23.21 21.78 12 24.02 23.70 Use ? = 0.05 and the Wilcoxon signed-rank test to see whether there is a significant difference between the median miles per gallon for the additives. State the null and alternative hypotheses. H0: Median for additive 1 − Median for additive 2 ≤ 0Ha: Median for additive 1 − Median for additive 2 > 0H0: Median for additive 1 − Median for additive 2 ≠ 0Ha:…