Hypothesis: The local car dealership that offers in house financing has a large percentage of accounts that are past due because of the lenient credit profile they utilize to approve financing. A hypothesis is a statement that variables are assigned to the case. (Cooper & Schindler, 2011) In the above hypothesis the case is accounts past due and the variable is the lenient credit profiles that are utilized for approving finance. My hypothesis has adequacy for its purpose, is testable. I believe my hypothesis needs to be strengthened to be better than its rivals. When utilizing the chart on page 64 of our text I do find several areas for improvement. After going through the checklist I believe that a better hypothesis would be made after an initial analysis of the percentage of late payments and the minimum credit scores. A hypothesis could then be created that is more specific and testable as well as analyzed against other statistics such as the percentage of late payments for a higher, specified credit score. If research shows 70% of customers that have late payments have a credit score below 600 a stronger hypothesis would state: If the local car dealership that offers in house financing requires a credit score higher than 600 for approved financing the percentage of late payments they receive will be less than 70%. Adequacy for its purpose| |

| |
*Does the hypothesis reveal the original problem condition?| Yes, the problem is a large amount of accounts that are past due.| | |
*Does the hypothesis clearly identify facts that are relevant | It clearly states facts regarding financing approval but does not | and those that are not?| include any other facts, relevant or not.| | |

*Does the hypothesis clearly state the condition, size, or| It only states that lenient profiles are used, this should be| distribution of some variable in terms of values meaningful| made stronger by listing a specific minimum credit score| to...

...What is Hypothesis?
A hypothesis is basically a statement about the target population. This is formulated as a result of years of observation and researches. New researches may result from one’s desire to determine whether or not a researcher’s hypothesis is supported when sample data are subjected to rigorous scientific and statistical methods.
A statistical hypothesis is an assertion or conjecture concerning one or...

...What is Hypothesis Testing?
A statistical hypothesis is an assumption about a population parameter. This assumption may or may not be true. Hypothesis testing refers to the formal procedures used by statisticians to accept or reject statistical hypotheses.
Statistical Hypotheses
Null hypothesis. The null hypothesis, denoted by H0, is usually the hypothesis that sample observations result purely...

...Lesson note #
Statistical Inference
Testing of Hypothesis
Type I Error:
Rejection of the null hypothesis when it is true is called a type I error.
Type II Error:
Acceptance of the null hypothesis when it is false is called a type II error.
|Decision of the test for the Null Hypothesis |The Null Hypothesis is |
| |True...

...Simple Hypothesis: A statistical hypothesis which specifies the population completely (i.e. the form of probability distribution and all parameters are known) is called a simple hypothesis.
1. Composite Hypothesis: A statistical hypothesis which does not specify the population completely (i.e. either the form of probability distribution or some parameters remain unknown) is called a Composite Hypothesis....

...WHAT THE H2!?
09-10-13
This is journal entry #20 10:30 AM 8/10/2050: The riots are still raging in the streets and gas prices are $200 a gallon. It has been 15 days since we have been told that there is no more fossil fuels. Our civilization is at the tipping point; like I said there is violent riots in the streets the lights are not turning on and neither is the water. My mom tells me it’s like this because when she was a kid everyone abandoned the idea of “clean energy”...

...Hypothesis Testing and Nursing
Hypothesis testing is a method of making decisions using data from scientific study. In statistics, a result is called statistically significant if it has been predicted as unlikely to have occurred by chance alone, according to pre-determined threshold probability, the significance level. Statistical hypothesis tests define a procedure that controls (fixes) the probability of incorrectly deciding that a default...

...A hypothesis is a claim
Population mean
The mean monthly cell phone bill in this city is μ = $42
Population proportion
Example: The proportion of adults in this city with cell phones is π = 0.68
States the claim or assertion to be tested
Is always about a population parameter, not about a sample statistic
Is the opposite of the null hypothesis
e.g., The average diameter of a manufactured bolt is not equal to 30mm ( H1: μ ≠ 30 )
Challenges the status...

...APP6JMaloney problems 2. 4, 6, 10, 18, 22, 24
2 ) The value of the z score un a hypothesis test is influenced by a variety of factors.
Assuming that all the other variables are held constant, explain how the value
of Z is influenced by each of the following?
Z= M - u / SD
a) Increasing the difference between the sample mean and the original.
The z score represents the distance of each X or score from the mean.
If the distance between the sample mean and the...

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