The following data set indicates the number of leather bags sold per week by a local company over a random sample of eleven weeks. 45 50 52 54 55 56 58 58 61 66 68 88 Q.3.1 Calculate the following, using the appropriate formulae and/or methods: Q.3.1.1 The mean. Interpret your answer. Q.3.1.2 The mode. Interpret your answer. Q.3.1.3 The median. Interpret your answer. Q.3.1.4 The first quartile. Interpret your answer. Q.3.1.5 The 80th percentile. Interpret your answer. Q.3.1.6 The standard deviation. [NOTE: The relevant formula must be used. No marks will be awarded if the answer is simply obtained directly from a calculator] Q.3.1.7 What is the coefficient of variation for this data set? Q.3.1.8 Determine the value for the coefficient of skewness using the approximation formula. Interpret your answer. The Independent Institute of Education (Pty) Ltd 2024 23; 24 Q.3.2 A sample of consumers were asked which brand of energy drink they prefer. The results regarding the popularity of the drinks are given in the following table. Brand of Energy Drink Monster Red Bull Switch TOTAL Number of Consumers 20 20 10 50 Draw a bar chart to graphically illustrate the results given in the table. Pag

The mean weight of loaves of bread produced at the bakery where you work is supposed to be 1 pound. You are the supervisor of quality control at the bakery, and you are concerned that new employees are producing loaves that are too light. Suppose you weigh an SRS of bread loaves and find that the mean weight is 0.975 pound. What are the appropriate hypotheses for performing this significance test? Ho : x = 1; H. : x < 1 where i = the sample mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : µ < 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : µ < 1; H, : H = 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : p = 0.975 where u= the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : u # 1 where u= the true mean weight (in pounds) of bread loaves produced at the bakery.

[S] (mM) v0 (mM/sec) 6 150 17 250 29 260 40 360 50 350 60 400 72 403 82 425 92 430 103 442 115 455 125 450 Km and Vmax obtained from the Lineweaver-Burk plot and linear regression analysis for the data in Table 2 are 16.9 mM and 503 mM respectively. Compare these values to the values obtained Vmax = 525.3 µM/sec    Km = 20.70 µM . Which method, nonlinear regression or linear regression, is more tolerant to an experimental error? Note that lower substrate concentrations, which often have the greater error, have a greater effect on the slope of the line in the Lineweaver-Burk plot.

I'm needing help with part 1 through 3, please   The data of Sugar Water and Plain Water:   mean # of drops variance degrees of freedom t stat t crit (from the table) plain water  25.3 17.221 38 -4.01 2.0261 sugar water  21.3 21.256   1.  Make a statement about t stat in relation to t crit. And what is the p-value? 2.  Is there a statistically significant difference between the mean values (mean # of drops) of the sugar and plain water?  Give your "yes" or "no" answer and the supporting evidence. 3.  Hypothesis: The surface tension of plain water is higher than the surface tension of sugar water. Do these results support or refute the hypothesis about the effect of dissolving salt in water on surface tension?