1. I am having a problem solving 1-19, I know the answer by playing with the numbers to get the right answer to work, but I need to understand the formula and how to get to the answer correctly. Can you please help me with the correct formula. Also, what does s' mean?

2. 1-18 Katherine D’Ann is planning to finance her college education by selling programs at the football games for State University. There is a fixed cost of $400 for printing these programs, and the variable cost is $3. There is also a $1,000 fee that is paid to the university for the right to sell these programs. If Katherine was able to sell programs for $5 each, how many would she have to sell in order to break even?

3. 1-19 Katherine D’Ann, from Problem 1-18, has become concerned that sales may fall, as the team is on a terrible losing streak and attendance has fallen off. In fact, Katherine believes that she will sell only 500 programs for the next game. If it was possible to raise the selling price of the program and still sell 500, what would the price have to be for Katherine to break even by selling 500?

A group of researchers at UTPA would like to determine reasons for low turnout in the RGV. They suspect that political trust in the RGV will be significantly different from the entire U.S. population (µ = 7.22). A group of 7 RGV residents’ scores are listed below. Compare this group of scores to the population to determine if there is a significant different (α = .05)

Will we need a one- or two-tailed hypothesis test?

State your null hypothesis

State your alternative hypothesis

Provide the SPSS output for your test and identify (circle or highlight) the t-obtained and the p-value

Did you reject or fail to reject the null hypothesis?

What can you conclude?

Calculate the 95 confidence interval for the sample mean

Calculate Cohens D

A political candidate wishes to determine if endorsing increased social spending is likely to decrease her popularity (α = .05). She has access to data on the popularity of several other candidates who have endorsed increased spending. The data were available both before and after the candidates announced their positions on the issue. The data are as follows:

Will we need a one- or two-tailed hypothesis test?

State your null hypothesis

State your alternative hypothesis

Provide the SPSS output for your test and identify (circle or highlight) the t-obtained and the p-value

Did you reject or fail to reject the null hypothesis?

What can you conclude?

Calculate the 95 confidence interval for the “Before” mean

Calculate Cohens D

Description and justification for using the Pearson product-moment correlation test

You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you​ survey? Assume that you want to be 99​% confident that the sample percentage is within 2.5 percentage points of the true population percentage. Complete parts​ (a) and​ (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. nequals nothing ​(Round up to the nearest​ integer.) b. Assume that a prior survey suggests that about 31​% of air passengers prefer an aisle seat. nequals nothing ​(Round up to the nearest​ integer.)

A group of students estimated the length of one minute without reference to a watch or​ clock, and the times​ (seconds) are listed below. Use a 0.05 significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students are reasonably good at estimating one​ minute? 78 88 50 75 52 36 68 70 75 55 73 82 104 100 73

1. According to data from Ipsos Global Express, 64% of Americans say there is never enough time in the day to get thins done. Suppose this percentage is based on a random sample of 900 Americans.

1. Find a 90% confidence interval for the corresponding population proportion.

________________

2. What is the margin of error for this estimate?   ____________

A poll is taken in which 332 out of 500 randomly selected voters indicated their preference for a certain candidate.

(a) Find a 90% confidence interval for pp.

≤p≤

(b) Find the margin of error for this 90% confidence interval for p.

Reconsider the portfolio selection example, including its spreadsheet model in Figure 8.13, given in Section 8.2. Note in Table 8.2 that Stock 2 has the highest expected return and stock 3 has by far the lowest. Nevertheless, the changing cells Portfolio (C14:E14) provide an optimal solution that calls for purchasing far more of Stock 3 than of Stock 2. Although pur- chasing so much of Stock 3 greatly reduces the risk of the portfo- lio, an aggressive investor may be unwilling to own so much of a stock with such a low expected return.
For the sake of such an investor, add a constraint to the model that specifies that the percentage of Stock 3 in the portfolio can- not exceed the amount specified by the investor. Then compare the expected return and risk (standard deviation of the return) of the optimal portfolio with that in Figure 8.13 when the upper bound on the percentage of Stock 3 allowed in the portfolio is set at the following values.
a.   20%

c.   Generate a parameter analysis report using RSPE to
systematically try all the percentages at 5% intervals from 0% to 50%

John invited four friends to his birthday party and his friends will arrive independently of one another. The arrival time x for each friend is uniform over (0; 4) and these arrival times are i.i.d. Answer to the following questions:

(a) the density of the arrival time who arrives at second.
(b) the probability that the second person to arrive between 0 and 2.
(c) the expected arrival time of the second person to arrive.

A survey by American Express Spending reported that the average amount spent on a wedding gift for a close family member is $166. A random sample of 45 people who purchased wedding gifts for a close family member spent an average of $160.50. Assume that the population standard deviation is $38. Use a 95% confidence interval to test the validity of this report and choose the one statement that is correct.

Group Support for Abortion Males Females Totals High 10.64 9.36 20 Low 14.36 12.64 27 Totals 25 22 47 Using the data above, do women and men differ in their opinions about abortion? Complete the chi-square test to make your decision. Show all 5 steps for full credit.

please share a real-life experience where you saw some topic from this class(statistics) being used. Please give the source, identify the topic, and give a little explanation on how it was used.  

we have learned

probability

variances

standard deviations

frequency distrubutions and graphs

Use the data for two Sydney suburbs to answer questions 1-5:

1. Using Excel or other appropriate software, produce two separate histograms for the median rental prices of the two selected suburbs, respectively. Use an appropriate number of bins for your histogram and remember to label the axes. Describe and compare the two histograms, including the central location, dispersion and skewness. [1 mark]

2. Compute the sample means and sample standard deviations of the median rental prices of the two selected suburbs, respectively. No need to show computational steps. [1 mark]

It is claimed that the median rental price for a two-bedroom property in Sydney is $511 per week. To investigate the claim formally, you carry out a hypothesis test – by (1) constructing a confidence interval and:

In particular, the following are two questions you want to examine:

1. whether the average rent in Suburb 1 (or Suburb 2) is equal to $511 per week
2. whether the average rent in one of the suburbs is significantly higher than the other

3. Set up the null and alternative hypotheses. Define the notation(s) clearly. [2 marks]

4. Using StatKey or other appropriate software, produce a dot plot of the bootstrap distribution (with at least 5,000 bootstrap samples) of the appropriate sample statistic for b)

Comment on its shape (e.g., central location, degree of symmetry). [1 mark]

5. With reference to the bootstrap distribution in question 4, construct two 95% bootstrap confidence intervals, one using the percentile method and another one based on normal distributions. What can you conclude at a 5% significance level? [1 mark]

Two Suburbs

In a survey of

24562456

adults in a recent​ year,

13921392

say they have made a New​ Year's resolution.

Construct​ 90% and​ 95% confidence intervals for the population proportion. Interpret the results and compare the widths of the confidence intervals.