It is known that people in the USA spend on average 15 hours a day using electronic devices with a standard deviation of 4.75 hours. This data follows a normal distribution. What is the probability someone spends more than 13 hours using electronic devices a day? (round your answer to 4 decimals)

Based on the following research question: If someone feels like they are losing weight through exercise are they more likely to go to the gym at least 4 days a week?   The variable perception of weight loss The variable going to the gym at least 4 days a week

It is known that people in the USA spend on average 18 hours a day using electronic devices with a standard deviation of 5.8 hours. This data follows a normal distribution. What is the probability someone spends more than 20 hours using electronic devices a day? (round your answer to 4 decimals)

According to the Chicago Cubs there average attendance at a home game through out the year of 2019 was 38,208 based on attendance at all home games in 2019.  38,208 is a parameter.

It is known that people in the USA spend on average 17 hours a day using electronic devices with a standard deviation of 7 hours. This data follows a normal distribution. What is the probability someone spends more than 13 hours using electronic devices a day if it is known that they spend less than 20 hours using electronic devices a day? (round your answer to 4 decimals) (Hint: Normal distribution and conditional probability)

Which of the following methods of graphing sample data can help you in determining the shape of a frequency distribution for the variable age (measured in years)?

It is known that people in the USA spend on average 17 hours a day using electronic devices with a standard deviation of 7 hours. This data follows a normal distribution. What is the probability someone spends less than 20 hours using electronic devices a day if it is known that they spend more than 13 hours using electronic devices a day? (round your answer to 4 decimals) (Hint: Normal distribution and conditional probability)

Select the term that best fits this definition: This term equals this:

4 students apply to a PhD program.  The program accepts 45% of all applicants.  Students are accepted and rejected independently of each other.  Let the random variable X represent the number of the 4 students who get accepted into the PhD Program.   What is the probability that 1 student is accepted to the program if it is known that at fewer than 2 students will be accepted? (round your answer to 4 decimal places) (Hint: Binomial distribution with P=45% and n=4, and conditional probability)

Five hundred women are enrolled in a study to evaluate the accuracy of a test for pregnancy. 200 of the women were actually pregnant. 170 of the pregnant women had a positive test as did 140 of the women who were not pregnant. What is the probability (i.e., specificity) that a woman tested negative on a test given that she is not pregnant? Test                         Pregnant? Yes No Total + 170 140 310 – 30 160 190 Total 200 300 500