Describe the sampling distribution of p. Assume the size of the population is 30,000. n= 700, p= 0.6 Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Approximately normal because n s0.05N and np(1- p) < 10. O B. Not normal because ns0.05N and np(1- p) 2 10. 'C. Approximately normal because ns0.05N and np(1- p) 2 10. O D. Not normal because ns0.05N and np(1- p) < 10. Determine the mean of the sampling distribution of p. HA = (Round to one decimal place as needed.)

The data represent the age of world leaders on their day of inauguration. Find the​ five-number summary, and construct a boxplot for the data. Comment on the shape of the distribution.   draw the correct boxplot of the data given   Whats the correct description of the shape of the distribution.

Describe the sampling distribution of p. Assume the size of the population is 25,000 n = 400, p = 0.4 Choose the phrase that best describes the shape of the sampling distribution of p below. OA. Approximately normal because n ≤0.05N and np(1 - p) < 10 B. Not normal because n ≤0.05N and np(1-p) < 10 OC. Approximately normal because n ≤0.05N and np(1-p) ≥ 10. O D. Not normal because n ≤0.05N and np(1-p) ≥ 10 Determine the mean of the sampling distribution of p HA = (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p (Round to three decimal places as needed) OA = р

Find the mean for the data items in the given frequency distribution. 6. 8. Score, x Frequency, f 3 1 The mean IS Round to 3 decimal places as needed.) 55 4/3 3/5 26 1.

Solve it correctly please. I will rate accordingly with 4votes.

der Describe the shape of the distribution. OA. The distribution is uniform. O B. The distribution is skewed to the right. OC. The distribution is skewed to the left. OD. The distribution is bell shaped.

K Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal. Choose the correct answer below. OA. The statement is true. OB. The statement is false. A sampling distribution is normal if either n ≥ 30 or the population is normal. OC. The statement is false. A sampling distribution is normal only if n ≥ 30. O D. The statement is false. A sampling distribution is never normal. Z-S e

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It is natural to think there will be a relationship between the number of calories and the amount of carbohydrates (in grams). In this journal, we will conduct a study using the nutrition data for several Starbucks food items. Click here for the dataset (spreadsheet) or Dataset (pdf) Import the data to JASP, run the command and take a screenshot of your output. Based on that, answer the following questions.  1. What is the correlation coefficient (Pearson’s r) between the variable's calories and carb?  2. Interpret the strength of the relationship between the calories and the amount of carbohydrates (in grams) contained in the food menu at Starbucks.  3. Using JASP descriptive statistics, find the mean and standard deviation for the variable calories and carb  4. In a food label at Starbucks, the number of calories is indicated but the amount of carbohydrates (in grams) is missing. Write the equation of the regression line for prediction of the amount of carbohydrates (the…

Describe the sampling distribution of p. Assume the size of the population is 20,000. n 800, p 0.356 Describe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is not normal because n s 0.05N and np(1 - p)< 10 В. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 -p) 10 A С. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 -p)2 10 D. The shape of the sampling distribution of p is not normal because ns 0.05N and np(1 -p)z 10. Determine the mean of the sampling distribution of p. (Round to three decimal places as needed.) HA р Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) р