Please may you help me with the multiple choice questions :)

QUESTION 16 Seven newly appointed lecturers of statistics were selected each to set a nal examination paper. These papers were then evaluated by two professors. After special training. the same lecturers had set new examination papers that were again evaluated by the same professors. A nonparametric Wilcoxon Signed Flank Sum test was used to determine at the 10% significance level whether there is a difference in the papers before and after the training. Malchedpalr|1 2 3 4 5 6 7 | Before 11 10 10 6 After 13 9 11 10 Del-'- 12 14 Which one of the following statements is Wear? 1. The Wilcoxon Signed Flank Sum test ls used when the data are not normally distributed. 2. Ho : The two population locations are the same. H1 : The different. 3. The p-value is 0.0222. 4. The test statistic is z = 2.11. two population locations are 5. Reject the null hypothesis. Yes, the two population locations differ. QUESTION 1? STAI 502101 ZIOJZDM Feminist club wants to determine whether the two populations location differ. Assuming that the samples are independent. use the Wilcoxon Flank Sum Test with 10% level of significance. Sam e1 T5 60 T3 66 31 Samplez 90 72 103 32 73 Which one of the following statements ls correct? 1. The mean Eu\") = 275. 2. The standard deviation or = 22.9161 3. The standardized test statistic is 17.756. 4. The pvalue of 0.0335. 5. Since the pwvalue is greater than 5% signicance level, the null hypothesis is not rejected, QUEST ION 18 Consider the following data set to determine whether the location of population a is to the right of the location of population 3. Use the Wilcoxon signed rank sum test to determine the rank sums of the positive 1\" and negative 1" differences. All 1112|1315161161'1r 31819 20|22 22 22|22 2S The standardized test statistic is 1. 2.5205 2. o 3. 36 4. 13 5. 7.1414 QUESTION 19 In an experiment to determine which of two cars is perceived to have the more confortable ride, 10 people ride separately in rear of the seat of an expensive European model and also in rear of seat a American car. The results are shown here. Respondent | European car |American car 1 2 3 4 5 NNANUN WUNW -NNWW NAHA 6 7 8 10 Using the sign test, the test statistic for two- tail paired differences is 1. 2.3333 2. 1.7666 3. 1.6667 4. 1.3333 5. -1.6667 QUESTION 20 Consider the following calculated forecasts. Period 1 2 3 4 5 Forecast 63 72 86 71 60 Actual 57 60 70 75 70 The value of the sum of squares for forecast errors SSE and the mean absolute deviation are 1. 222 and 48 2. 766 and 9.6 3. 552 and 9.6 4. 148 and 76 5. 48 and 9.6 10 STA1502/012/0/2021 QUESTION 21 Consider the following time series Period 1 2 3 4 5 6 7 8 Time series 48 41 37 32 36 31 43 52 The five-moving average for the period 4 is: 1. 35.4 2. 38.8 3. 35.25 4. 34.0 5. 36.5QUESTION 22 Two forecasting techniques were used to predict the values of a time series. These values are given In the table below. Period Actual 1', Forecast Model 1 Forecast Model 2 1 19 21 22 2 24 27 24 3 23 29 26 4 32 31 23 5 33 35 30 Which one of the following statements is incorrect? 1. MAD for model 1 is 2 SSE for model 2 Is 93 MAD for model 2 is 3.4 SSE for model 1 Is 24 WP?!\" The most accurate to both model using SSE is model 2 11 QUESTION 23 Which statement is correct? 1. The cyclical component occurs on short time series and as a result these components are the most commonly occurring patters in times series. 2. The irregular component Is the left over when the other components of the series (trend, seasonal and cyclical) have been accounted for. 3. Seasonality is the underlying direction (an upward or downward tendency) and rate change in a time series, when allowance has been made for the other components. 4. Trend is a shortwterm movement in a time series. 5. Forecasting is not one of the aims of times series analysis. QUESTION 24 Which one of the following statements is incorrect? 1. Time series are used to understand the past and to predict the future. 2. Analysis of a time series involves identifying the components that have led to the fluctuations in the data. 3. The different kinds of trend models mentioned for time series are only linear. 4. The effect that business recessions and prosperity have on time series values Is an example of the trend component. 5. The component of a time series that has the repeating patterns for a period longer than one vear is the cyclical component. QUESTION 25 The occupancy rate for apartments and hotel rooms In a small city in Gauteng from 1993 to 2002 are as follows: 65.? 613 61.8 60.9 6'? 1'1? 82.5 1'14 85.5 59.5 The 5year moving average of the occupancy rate for 1993 Is 1. 64.54 2. 66.94 3. 69.93 4. T7112 5. "2.10 12