If a type one errors made what conclusion will be drawn regarding the mean breaking strength
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Q: As part of a staged rollout, a new email client was installed on some of the computers of a major…
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If a type one errors made what conclusion will be drawn regarding the
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- Data are collected in an experiment designed to in- vestigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are as- signed to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks and 32 weeks gestation. The data are shown in Table 7–7. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. back side sitting standing 140 141 144 147 144 143 145 145 146 145 147 148 141 144 148 149 139 136 144 145ayşe travels often and lately has become lax about giving herself enough time to get to the airport. She leaves home 45 minutes before the last call for her flight will occur. Her travel time from her front door to the airport parking lot is “normally distributed” with a mean of 25 minutes and a standard deviation of 3 minutes. She must then take a shuttle bus to the terminal from the parking lot and go through security screening. The mean time for doing this is 15 minutes, and the standard deviation is 2 minutes; this time also is “normally distributed.” The driving time and the airport time are independent of each other. What is the probability that Ayşe will miss her flight because her total time for getting to the plane is more than 45 minutes?Help pls
- A sports writer wants to see if a football filled with helium travels farther, on average, than a football filled with air. 12 footballs were filled with helium to the recommend pressure and 15 footballs were filled with air to the recommended pressure. The mean yardage for the helium filled footballs was 267 yards with a standard deviation of 3 yards. The mean yardage for the air filled footballs was 241 yards with a standard deviation of 5 yards. Assume the populations are normal with equal variances. (a). Construct a 99% confidence interval for the mean difference in in yardage for the two types of footballs Lower bound (use 3 decimal places) Upper bound (use 3 decimal places) (b). What can you conclude about the sports writer's idea that helium footballs travel farther, on average? The helium footballs are no different than the other footballs, on average The other footballs travel farther on average than the helium footballs The helium footballs travel farther on average than the…As part of a staged rollout, a new email client was installed on some of the computers of a major company's customer service representatives (CSRS). One of the company's performance analysts has been tasked with estimating the difference on the busiest day of the year between the mean time (in minutes) spent working on email for CSRS using the new email client and the mean time (in minutes) spent working on email for CSRS using the old email client. On the busiest day of the year, the performance analyst studies a random sample of 16 CSRS using the new email client and a random sample of 18 CSRS using the old email client. (These samples are chosen independently.) The analyst records the amount of time (in minutes) each CSR spends working on email. These data are shown in the table. Times working on email (in minutes) New email client 166, 188, 207, 172, 202, 148, 192, 173, 197, 197, 158, 172, 209, 185, 203, 169 Old email client 78, 196, 145, 195, 109, 85, 95, 138, 232, 47, 146, 122,…An article reports that blue eyed people earn less than Brown eyed people with these numbers average blue eyed salary $35000 average Brown eyed salary $37000 P - value point 45 based on reported P - value and using the common definition of statistical significance which is the case
- 3) Last year, the mean running time for a certain type of flash light battery was 8.5 hours. This year, the manufacturer has introduced a change in the production method which he hopes will change the mean running time. A random sample of 40 of the new light bulbs was obtained and the mean running time was found to be 8.7 hours. Do the data provide sufficient evidence to conclude that the mean running time of the new light bulbs is different from last year's mean of 8.5 hours? Perform the appropriate hypothesis test using a significance level of 0.05. Assume that standard deviation of running time of all new light bulb batteries of this type is 0.5 hours.The lengths of bolts produced in a factory may be taken to be normally distributed. The botlts are checked on two "go-no go" gauges and those shorter tthan 2.9 or longer than 3.1 inches are rejected. A random sample of 397 bolts are checked on the gauges. If the (true but unknown) mean length of the bolts produced at that time was 3.06 inches and the (true but unknown) standard deviation was 0.03 inches, what values would you expect for n1, the number of bolts found to be too short, and n2, the number of bolts found to be too long?construct 5 examples with solution using measures of central tendency ungrouped and grouped data
- An excess of high values for the cases distributed on a graph results in a positive skew in the data?A farmer wishes to estimate the mean number of farm fires reported each weekend atMuscat area. From a sample of 50 weekends, the farmer found 2 weekends with 7 fires ,18weekends with 9 fires, 16 weekends with 10 fires, and the reminder with 11 reported fires. Thefarımer wants to check whether the average number of farm fires per weekend has changed due tothe new "fire control program" he helped developed last year. The average number of firs perweekend prior to the development of that program was 11.5i.Based on the information collected by the farmer ,test the farmersclaim that the number of farm fires has changed due to the program. Using aone-sided test at the 5% significance levelii) What is the P- value for your test