between 150 and 230? 0.04 4 140 150 160 170 180 190 200 210 220 230 240 Sample Means 18 2. In the distribution to the right: 0.16 16 0.15 What proportion of sample proportions 0.14 14 0.13 will be between 0.70 and 0.74? 0.12 12 0.10 10 What proportion of sample proportions will be between 0.84 and 0.90? 0.07 0.07 6 What proportion of sample proportions 0.03 0.03 will be less than 0.70? 0.68 0.70 0.72 0.74 0.76 0.78 0.80 0.82 0.84 0.86 0.88 0.90 0.92 Sample Proportions No of obs

What is the proportion that lies between the z scores under the normal curve? A. 1.00 and -1.00 B. 1.96 and -1.96 C. 2.58 and -2.58 D. 0.00 and 1.00 E. 1.50 and 0.10 F. 2.00 and 0.80

Here is a sample data set. Frequency 153.1 201.4 209.3 221.3 225.4 228.8 232.8 278.7 282.5 282.6 283.4 290.6 342.9 342.9 342.9 345.2 349.2 358.4 362.8 370.5 379.8 387.9 390.7 403.9 404.3 427.9 434.9 434.9 441.2 443 445 449.4 450.6 460.4 468.5 469.4 480.6 482 489.6 515.6 484.8 488.9 488.9 488.9 525.7 526.5 537.1 537.9 614.3 685.1 739.2 751.7 557.6 599.9 10 8 6 4 2 15000500050005608500050005000 length (cm) Find the first quartile for this data set. Q₁ = Find the third quartile for this data set. Q3= = Find the interquartile range for this data set. IQR = Find the lower fence separating outliers from usual values. Fence low = Find the upper fence separating outliers from usual values. Fence high

Suppose the true population proportion is p = 0.5. The figure below shows the distribution of the sample proportion (p) values for 3 different sample sizes, n = 20, n=100 and n=500. 0.2 0.4 0.6 0.8 0.2 0.4 0.6 0.8 0.2 0.4 0.6 0.8

3. Calculate the mean and median for the data representing the number of hours a random person spends online. Explain what this tells you about the shape of your distribution and which measure for the spread would be best? 15 12 6.2 7 5.5 2 4 5 10 11 7 6 4 7 01 5 3.2 4 10 6 2 10 1.5 5.1 6.4 8 14 3 2 4. Based on the distribution that you found in part 3, indicate whether the data is symmetric or skewed and then calculate the best measure for the spread of the distribution: Standard deviation or IQR. What information does this measure provide in terms of your data?

9. If we take samples of size 110 from a population with proportion 0.39, comment on whether the sampling distribution follows a normal distribution. Explain.