Chapt 10 # 42
H0: game length is >= 3.5 hours
Ha: game length is < 3.5 hours
mean = 2.9553 stdev = 0.5596
Get the t test statistic: t = (x-mu)/(stdev/sqrt(N)) t = (2.9553-3.5)/(0.5596/sqrt(17)) t = -4.0133
Get the critical value for df = N-1 = 16, one tail, alpha is 0.05:
-1.7459
Since our test statistic is much lower than the critical value, we reject the null hypothesis. There is enough evidence to conclude that games are shorter than 3.50 hours.
Chapt 11 # 58
The amount of income spent on housing is an important component of the cost of living. The total costs of housing for homeowners might include mortgage payments, property taxes, and utility costs (water, heat, electricity). An economist selected a sample
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Is there a difference among types of gasoline? No.
b. Is there a difference in the cars? No.
Chapt 13 # 37
H0: correlation 0
Critical value, from a t table, one tail, with df = n-2 = 23:
1.7139
Test statistic:
r*sqrt((n-2)/(1-r^2))
0.94*sqrt(23/(1-0.94^2))
= 13.213
Chapt 13 # 40
Chapt 14 # 17
a. What are the estimated sales for the Bryne store, which has four competitors, a regional population of 0.4 (400,000), and advertising expense of 30 ($30,000)?
Use the regression:
14 - 1*4 + 30*0.4 + 0.2*30
= 28
So the sales would be $28000, since the regression gives the value in thousands
b. Compute the value of r^2. ssr/sst = 3050/5250
= 0.58095
c. Compute the multiple standard error of estimate. sqrt(mse) = sqrt(84.62)
= 9.1989
d. Conduct a global test of hypothesis to determine whether any of the regression coefficients are not equal to zero. Use the .05 level of significance.
H0: coeffs are zero
Ha: coeffs are not zero
F = 1016.67/84.62
= 12.01454
The critical value, from an F table, with df = 3, 26 is: 2.975
The test statistic is much higher, so we reject the null.
At least one coefficient is non zero.
e. Conduct tests of hypotheses to determine which of the independent variables have significant regression coefficien
Each hypothesis looks like this:
H0:
a. The times are a population because we are considering the wait times for all of the customers seated on Saturday night.
University of Phoenix . (2015). Ballard Integrated Managed Services, Inc. . Retrieved from University of Phoenix , QNT/351 website.
Standard Deviation for the mean column is 0.476Standard Deviation for the median column is 0.754Standard deviation for the mean column has least variability
To begin replication of Cacioppo & Petty's Study 1 with random scores, I opened IBM SPSS Statistics 24 (SPSS) located in the IBM SPSS Statistics folder in the Start Menu (this folder will only be present if the computer has a license for SPSS software. Psychology Lab in Strauss Hall is a great place to use computers with SPSS software). Allowing time for the software to load, I went to www.random.org (random.org) in the internet browser, Google Chrome. Random.org is where I created all the random scores I needed to replicate Caioppo & Petty's Study 1.
• Alternative Hypothesis Ha: µ ≥ 50,000, this means the test is a one tailed z test.
9. Refer to the model and estimates in the previous question. Ceteris paribus, according to these
In every business, there are laws and regulations. They control what information we can collect and share. They tell us how and what we can do with it. The automotive industry is no different, especially in the finance office. It is my desire to share this information with my team and customers. I feel it important to communicate these rules to establish clear consistent procedures. These procedures will allow us to maintain compliance, safe guard customer information, and provide ethical practices, and to provide examples of some of the industries shortcomings, and how we can move past them.
The critical value represents the point on the scale of test statistic value in which the null
Slide 17: This curve demonstrates a one-tail hypothesis with the critical region representing 5% showing a negative relationship.
Housing is a national crisis issue and the professional solution has priced itself beyond the reach of the majority of citizens.(Archer) To own a house implies commiting oneself to a mortgage and guaranteed income level for the majority of one’s working life.
Demand for jobs decreases and the cost of housing in America continues to rise, making it hard for people to afford it. According to United States Home prices and Values, the median home value in the United States is $182,500 and the cost of housing has increases by 3.7% over the past year and predicts that the cost will increase by 2.4% within the next year. Clearly from this data, we can tell that people living below the poverty line are unable to afford the houses. Also, with their meager income, they have spent it on other things such as food, clothes, schools that are necessities for their survival other than housing. So many things to spend on with their income makes it impossible for them to make a decision and ended up abandoning their
s squared subscript p=(n1-1)s squared2 subscript1+(n2-1)s squared2 subscript2]/n1+n2-2. The numerator of the function, n1+n2-2, is the degrees of freedom.
Compare and contrast sociological and economic descriptions of homes and housing. The approach towards descriptions of homes and housing taken from either sociological or economical point of view can be very closely related. One aspect that links it all together are the different layers of inequality exposed as one aims to look at the similarities and differences explored in the Investigating the Social World 1 (Murji, K. 2015). Looking at the consequences for individuals and societies, the impact it may oppose on future and how the problems are analysed in first place we may begin to understand that social divisions also plays an important role.
The cost of housing is increasing while the amount of income of low-class workers is decreasing. Housing is considered unaffordable when it consumes more than thirty percent of the household income (DiNapoli 4). In 2012, forty-percent of the households that earned less than $40,000 per year spent more than forty to sixty-eight percent of their income on rent (Mathias). Affordable housing has also decreased in a twelve-year period. From 2000 to 2012, approximately 400,000 apartments renting for less than $1000 were lost (DiNapoli 1). In order for a minimum wage worker who earns eight dollars an hour to afford a two-bedroom apartment in New York City, at a fair market rent, must work 124 hours per week, 52 weeks per year, which is also disregarding costs for food and health care (Out of Reach
Americans across the United States search for the perfect home, location and square footage of course a great price to pay for their castle. Finding an affordable place to live is ideal, and necessary for survival in this day of age. As the years go by the cost of living increases but Americans do not receive a cost of living raise. The demand for affordable housing is on a all time high, but so is the cost of housing in the metropolitan areas across the United States. America must take care of its citizens and should provide affordable housing programs, to assist Americans to either purchase or rent a home.