Step4: Test Statistic (MINITAB OUTPUT): Number of Events (Urban Customers) = 21 Number of Trials (Customers) = 50 Test and CI for One Proportion Test of p = 0.4 vs p > 0.4 95% Lower Sample X N Sample p Bound Z-Value P-Value 1 21 50 0.420000 0.305190 0.29 0.386 Using the normal approximation. Step5: Interpretation of Results and Conclusion:
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of female students=43 2. (1)95% confidence intervals for the proportion of all students: Sample size=90‚ sample proportion=0.53‚ level significance is 0.05. Standard Errors=^P (1-P)/n=0.0511 Z-socre=1.9600 Width of the confidence interval=z*se=0.1002 Lower Limit of the confidence interval=p-width=0.4298 Upper Limit of the confidence interval=p+width=0.6302 The confidence interval for the proportion of all students is 0.43 to 0.63. (2) 95% confidence intervals for the proportion of
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Prepare a managerial report for the dean of the college that summarizes your assessment of the nature of cheating by business students at Bayview University. Be sure to include the following questions. 1. Develop 95% confidence intervals for the proportion of all students‚ the proportion of male students‚ and the proportion of female students who were involved in some type of cheating. 2. Conduct a hypothesis test to determine if the proportion of business students at Bayview University who were
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customers is less than $50‚000. After calculating the data this assumption proved to be true‚ as we can say with 95% certainty that the income is less than $47‚510. The next assumption is that more than 40% of his customers live in urban areas. After computing the data‚ we cannot be certain this is accurate. The data falls too close for me to be confident in this assumption; the 95% confidence interval is too wide. The third assumption is that the average number of years the customers have lived at their
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90%= 1.645 95% = 1.96 98% = 2.33 99% = 2.575 Hypothesis Testing *A credit card company wondered whether giving frequent flyer miles for every purchase would increase card usage‚ which has a current mean of $2500 per year. They gave free flyer miles to a simple random sample of 25 card customers and found the sample mean to be $2542 and the standard deviation to be $109. n= 25 Ho (Claim) µ=2500 OR Ha µ > 2500 *Use t-table n .50 Ha
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the obtained data divided into two groups and are manipulated to give statistical significance‚ by performing the Dixon’s Q-test‚ and solving for the mean‚ standard deviation‚ relative standard deviation‚ range‚ relative range‚ and confidence limit—all at 95% confidence level. Finally‚ the results are analyzed between the two data sets in order to determine the reliability and use of each statistical function. RESULTS AND DISCUSSION This simple experiment only involved the weighing of ten 25-centavo
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as the calculations for the control limits‚ discuss the effect of the seasonal factors‚ and discuss the confidence intervals and their usefulness. Control Limits Control limits are an easy way to find out if something is statistically wrong with a process. There are upper and lower control limits for every process. If the data in the sample falls outside of either of the two limits‚ this usually means that there is a problem with the process. Control limits help to assure quality ("Ehow: How To
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B. Q-Test After weighing the samples‚ the highest and lowest values were identified from each data set and the Q-test was used. The highest and lowest values for each Data Set were obtained. The value solved was compared to the limit
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Introduction This investigation which I carried out is closely related to statistics‚ where its main objective is to help us understand how a large amount of data is analysed and tabulated with the help of sampling and estimation‚ as well as its application in real life. In this investigation‚ we were instructed to analyse the census data tabulated from the respondents‚ where they input the data through a survey form available online. The respondents consist of students who are taking South Australian
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Business Statistics – Murali Shanker Chap 7-1 Confidence Intervals Content of this chapter Confidence Intervals for the Population Mean‚ μ when Population Standard Deviation σ is Known when Population Standard Deviation σ is Unknown Determining the Required Sample Size Fundamentals of Business Statistics – Murali Shanker Chap 7-2 Fundamentals of Business Statistics – Murali Shanker Chapter 7 Student Lecture Notes 7-2 Confidence Interval Estimation for μ Suppose you are interested
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