Statistics

2) Compute the standard deviation for each of the four samples. Does the assumption of .21 for the population standard deviation appear reasonable?

Determine the minimum sample size required to construct a 95% confidence interval for the population mean.  Assume the population's standard deviation is .2 inches.

b. Construct a 91.5% confidence interval for the mean time it take for all workers who are employed in downtown Toronto

Topics Distribution of the sample mean. Central Limit Theorem. Confidence intervals for a population mean. Confidence intervals for a population proportion. Sample size for a given confidence level and margin of error (proportions). Poll articles. Hypotheses tests for a mean, and differences in means (independent and paired samples). Sample size and power of a test. Type I and Type II errors. You will be given a table of normal probabilities. You may wish to be familiar with the follow formulae and their application.

5. Find the sample variance s2 for the following sample data. Round your answer to the nearest hundredth.

c. Based on this asymmetric Confidence Interval in 'b' above, state how much minimum mean weight could be lost, after completing the dieting programme.

The margin of error is 2%, “that is the amount of error that the CEO finds acceptable for him” (The Importance and Effect of Sample Size) (2016). If 90% of the people that were surveyed said yes, and 10% answer no, the CEO tolerance level for error might be able to be increased the it being 50/50. The confidence level that is trying to be reached by the CEO is 95.44. The confidence level is the doubt the CEO will tolerate. Let’s say the CEO has 30 yes or no questions on his survey. Having a confidence level of 95%,

There are only 25 numbers in the sample collected. For purposes of analysis, it will be considered that the process itself is normally distributed, and its standard deviation is unknown. Under these conditions, the formula that gives the confidence interval is:

Results from previous studies showed 79% of all high school seniors from a certain city plan to attend college after graduation. A random sample of 200 high school seniors from this city reveals that 162 plan to attend college. Does this indicate that the percentage has increased from that of previous studies? Test at the 5% level of significance.

The customers in this case study have complained that the bottling company provides less than the advertised sixteen ounces of product. They need to determine if there is enough evidence to conclude the soda bottles do not contain sixteen ounces. The sample size of sodas is 30 and has a mean of 14.9. The standard deviation is found to be 0.55. With these calculations and a confidence level of 95%, the confidence interval would be 0.2. There is a 95% certainty that the true population mean falls within the range of 14.7 to 15.1.

f) Find a 95% confidence interval for the difference between these proportions. From this interval, can we conclude that there is a significant difference in the proportions at the 5% level of significance?

Discuss the implication of your statistical findings in terms of the belief that some owners of the automobiles experienced automobile failures.

Annex A Basic Analysis | | Reciprocating | Scroll | All | Average Price | Europe | $ 31,31 | $ 38,60 | $ 32,28 |   | Latin | $ 38,71 | Does not exist | $ 38,71 |   | North | $ 32,43 | $ 34,69 | $ 33,11 |   | Total | $ 33,73 | $ 35,67 | $ 34,08 | Average Volume | Europe | 111.307,69 | 88.000,00 | 108.200,00 |   | Latin | 67.000,00 | Does not exist | 67.000,00 |   | North | 121.142,86 | 174.500,00 | 137.150,00 |   | Total | 103.054,05 | 152.875,00 | 111.911,11 | Average BTU | Europe | 410,00 | 850,00 | 468,67 |   | Latin |

a) Develop a 99 percent confidence interval for the mean selling price of the home.

We created a survey using the Qualtrics program to test our hypothesis of whether political knowledge and political engagement translate to youth turnout in post-secondary students. The survey consisted of 36 close-ended questions consisting of multiple choice, dichotomous, likert scaling and semantic scaling options. The survey topics included 1) personal information 2) voting history 3) knowledge of voting information 4) political engagement and activism, and 5) testing political knowledge. We decided to ask close-ended questions because it allowed for easier data collection for quantitative data and we had already collected more rich