Math Week 4 Case Study

An experiment could be devised in which bats are taken in a large quantity and one

Select one (1) project from your working or educational environment that you would use the hypothesis test technique. Next, propose the hypothesis structure (e.g., the null hypothesis, data collection process, confidence interval, test statistics, reject or not reject the decision, etc.) for the business process of the selected project. Provide a rationale for your response.

Consider the ski resort satisfaction data we used in class (“satisfaction.sav” in Week 7 folder). This is data based on a survey of 500 users of a ski resort. In class we did part of the analysis. In this question you will be asked to redo some of the analysis and complete the rest. For part a), b) and c), write down your null and alternative hypotheses and then discuss the hypothesis testing results based on SPSS output. Please show your SPSS output for part a), b), and c).

 Explain how the data collected will provide the data necessary to support or negate the hypothesis or proposition

Elderly- 13% of the population is 65 and older. The Baby Boomers are getting close to the retirement age, and families have been cutting down from 3 children per family to just 2.

1. Write a null and an alternative hypothesis for each of the following. Be sure to state

U.S. census data for the year 2011 showed that almost 20% of Americans between the ages of 25 to 34 were living with their parents. For those aged 18 to 24, the number is 59% of men and 50% of women.

Average household size is about 3.4. Based on the graph above, 15 of the 50 sampled have a

“Hypothesis testing is a decision-making process for evaluating claims about a population” (Bluman, 2013, p. 398). This process is used to determine if you will accept or reject the hypothesis. The claim is that the bottles contain less than 16 ounces. The null hypothesis is the soda bottles contain 16 ounces. The alternative hypothesis is the bottles contain less than 16 ounces. The significance level will be 0.05. The test method to be used is a t-score. The test statistic is calculated to be -11.24666539 and the P-value is 1.0.  The P-value is the probability of observing a sample statistic as extreme as the test statistic, assuming the null hypothesis is true. The T Crit value is 1.69912702. The calculations show there is enough evidence to support the claim that the soda bottles do

Peterson death is due to a part time employee with a record of petty thefts, Bobby Walden, a person of interest at this time after his fingerprints were found in the store, at this time after his finger prints were found in the store, at the cash and on the backdoor. Also he is known to leave a trail of his favourite snack food- sunflower seeds wherever he goes (Rush et al. 2014). As shown in Table 1, calculated t-value is evaluated and it shows that the critical t-value is not significant to the t-value, meaning the victim seed, and suspect seeds are identical. The calculated t-value is less than the critical t-value than the seeds are the same, failing to reject the null hypotheses meaning Mr. Peterson was murdered by his employee Bobby Walden. In Figure 1, the victim seeds have a larger length, width, depth ,and weight, compared to suspect. Confectionary sunflower is generally classified into three categories: the larger seeds are roasted, salted and packaged for human consumption; medium size seeds are dehulled and packaged for use as snacks or in bakery foods; and the smaller seeds are used as poultry feed (De Figueiredo, A.K., et al. 2014). In Figure 2, it shows the volumes of both the suspect and victim seeds, the victim seeds have a slight difference it has a greater volume, this can be used to determine how Mr. Peterson died. This means that the data of suspect seeds were in agreement to this, and the victim

Of the 16,497 households, 22.4% had children under the age of 18 living with them. 60.2% were married couples living together, 4.3% had a female householder with no husband present, and

There were 167,490 households of which 29.7% had children under the age of 18 living with them, 22.4% were married couples living together, 25.3% had a female householder with no husband present, 6.0% had a male householder with no wife present, and 46.4% were non-families. 39.5% of all households were made up of individuals and

According to the South Carolina Office On Aging, there are approximately 9% of children in the state of South Carolina that live in a household headed by their grandparents. Approximately

n & McLanahan, 2002; Tienda & Angel, 1982). Mothers cohabiting at the time of the child’s birth or who marry soon afterward (who often have more resources than unpartnered mothers) are also less likely than single mothers to form a multigenerational household (Sigle-Rushton & McLanahan, 2002). Additionally, the grandparent’s resources an play an important role. When the grandparent has more children or lives in

In 1997, I was a part of the estimated forty-eight million children out of seventy million children who lived in a two parent household. In 1999, I became a part of the estimated sixteen million children out of seventy-one million that resided in a one parent household. A couple years later in the early 2000s, I became a part of the statistic that one out of every