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When assessing future hospitality work, which statement is the MOST likely or accurate 1. A good example of a quantitative planning tool is 2. Forecasting techniques are based on the idea that 3. Which one of the following is NOT a key area in which action plans should be set? 4. A core competency is 5. When assessing future hospitality work, which statement is the MOST likely or accurate ? Math Assignment Help, Math Homework ...

Other / Other 21 May 2016

Paired t test is applicable when the observation in the two samples are 1. A coin is tossed 600 times and we got 320 heads. Which is test to be used for testing the unbiasedness of the coin? (i)Normal test (ii) chi-square test (iii) t-test (iv) None of these 2. Equality of variances of two normal population is tested by (i)Normal test (ii) chi-square test (iii) t-test (iv) None of these 3. In a contingency table the expected frequen ...

Other / Other 21 May 2016

Cramer Rao lower bound is for finding 1. Cramer Rao lower bound is for finding (i)Unbiased estimator (ii) Consistent estimator (iii) Minimum variance of unbiased estimator (iv) None of these 2. ---- test is used for testing independence of attributes is a contingency table (i)Normal test (ii) chi-square test (iii) t-test (iv) None of these 3. The Neymaan-Pearson lemma is used to find ------- for testing simple 0 H against simple 1 H ...

Other / Other 21 May 2016

Guestology can be best defined as 1. Guestology can be best defined as 2. The value of a guest experience is equal to the 3. A guestologist 4. The service product is 5. KSAs stand for Math Assignment Help, Math Homework help, Math Study Help, Math Course Help ...

Other / Other 21 May 2016

Any statistic suggested as an estimator for a population parameter is 1. Any statistic suggested as an estimator for a population parameter is a, (i) Point estimator (ii) Interval estimator (iii) Unbiased estimator (iv) None of these 2. A property of a point estimator that occurs whenever larger sample sizes tend to provide point estimates closer to the population parameter is known as, (i) Unbiasedness (ii) efficiency (iii) consiste ...

Other / Other 21 May 2016

The probability distribution of the sample mean is 1. The sample statistic s is the point estimator of (i) (ii) (iii) x (iv) p 2. The sample mean is the point estimator of (i) (ii) (iii) x (iv) p 3. The probability distribution of the sample mean is called the (i) Central probability distribution (ii) sampling distribution of the mean (iii) Random variation (iv) standard error 4. ...

Other / Other 21 May 2016

The set of equations obtained in the process of least square estimation are 1. An estimator n t which contains all information about the parameter contains in the sample is, (i) an unbiased estimator (ii) a consistent estimator (iii) a sufficient estimator (iv) None of these 2. Sample standard deviation is a ------- estimator of population standard deviation. (i) Unbiased (ii) biased (iii) sufficient (iv) efficient 3. The inequality ...

Other / Other 21 May 2016

What is the key question in the field of statistical estimation 1. Good way to get a small standard error is to use a ________. (i) Repeated sampling (ii) Small sample (iii)Large sample (iv) Large population 2. The use of the laws of probability to make inferences and draw statistical conclusions about populations based on sample data is referred to as ___________. (i)Descriptive statistics (ii) Inferential statistics (iii)Sample ...

Other / Other 21 May 2016

A test which minimizes the power of the test for a fixed significance level is 1. In testing of hypothesis, critical region is (i) Rejection region (ii) Acceptance region (iii) Neutral region (iv) None of these 2. The standard deviation of any statistic is called its, (i) Type II error (ii) Standard error (iii) type I error (iv) None of these 3. Critical region with minimum type II error among all critical regions with a specified ...

Other / Other 21 May 2016

Neymann-Pearson lemma is used for obtaining, 1. Neymann-Pearson lemma is used for obtaining, (i)Most powerful test (ii) An unbiased test (iii) A randomized test (iv) None of these 2. A test is one-sided or two-sided depends on (i) Null hypothesis (ii) Alternate hypothesis (iii) Simple hypothesis (iv) None of these 3. Level of significance lies between, (i) 0 and 1 (ii) -1 and 1 (iii) -3 and 3 (iv)None of these 4. Student†...

Other / Other 21 May 2016