On average, what value is expected for the F-ratio if the null hypothesis is false? Question 22 options: 0 1.00 Between 0 and 1.00 Much greater than 1.00
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- "On average, which value is expected for the F-ratio if the null hypothesis is true?" F = 0 F = k 1 F = N k F = 1Please help me with part d) of the question. d) Show that an alternate formula for a z-interval of the population mean is:Given the following survival function, with alpha=0.25 and theta=0.01, find the median time to death by clearly showing all algebraic/calculus steps.
- For each of the following situations, state whether you would use a chi-square goodness-of-fit test, a chi-square test of homogeneity, a chi-square test of independence, or some other statistical test. Complete parts a) through c) below. a) Is the quality of a car affected by what day it was built? A car manufacturer examines a random sample of the warranty claims filed over the past two years to test whether defects are randomly distributed across days of the work week. Choose the correct answer below. A. Chi-square test of independence. You have data on two variables, day and quality, for one manufacturer. B. Chi-square goodness-of-fit test. You want to see if the distribution of defects is uniform over the variable day. C. Chi-square test of homogeneity. You have two samples and one variable, day. You want to see if the distribution of quality is the same in the two years. D. Some other statistical test. The variable day is…Barry calculates an F-ratio involving the SAT scores of three groups and does NOT reject the null hypothesis. Which of the following is the MOST appropriate conclusion he could draw? Group of answer choices The SAT scores for the three groups are all different from each other. No conclusion can be determined without conducting further analyses. The SAT scores for the three groups are not significantly different. The SAT scores for the three groups are all equal to each other.A researcher collects data that represents the average number of hours of sleep in the last two nights by 8 depressed patients and 9 non-depressed patients. The researcher is interested in whether the two groups reliably differ in the amount of sleep they get. Use Jamovi to calculate t-obt and the p value.
- Consider the following difference-in-differences estimator for the effect of a newgarbage incinerator on housing values. Rumor of a new incinerator being built in a townin Massachusetts began after 1978, and construction began in 1981. You have data onprices of houses that sold in 1978, and another sample of those that sold in 1981. Youdefine a dummy variable (y81) as equal to 1 if the house sold in 1981, and zero if thehouse sold in 1978. Your hypothesis is that the price of houses located near theincinerator will fall across those years relative to the price of more distant houses. Youdefine a house as being near the incinerator (nearinc) if it is within 3 miles of it. Housingprice (price) is measured in real terms, in 1978 dollars. You estimate the followingregression (standard errors are in parentheses): price = 82,517.23 + 18,790.29y81 -18,824.37nearinc (2,726.91) (4,050.07) (4,875.32) -11,863.90(y81 * nearinc) (7,456.65) n=321 Interpret the coeffiecient…For the situation described below, state the null and alternative hypotheses to be tested. (Enter != for ≠ as needed.) A new variety of pearl millet is expected to provide an increased yield over the variety presently in use, which has a mean yield of about 55 bushels per acre.Find kurtosis by using ungroup data given in the picture using quartile deviation, make sure to arrange data before solving question.
- The temperature of a newborn baby is normally distributed with a mean of 97.7 °F and a standard deviation of 1.1 °F. What is the probability that a randomly selected newborn baby’s temperature will be more than 99 °F? Without solving this problem, which of the following would be the correct Z-conversion formula.Which of the following is NOT CORRECT? A) The past purchase frequency (freqi) affects the purchase probability positively – i.e., customers with high past purchase frequency are more likely to purchase our product in the next year than those with low past purchase frequency. B) In general, customers are likely to buy our product because the baseline parameter is negative. C) High-income customers are more likely to purchase our product in the next year than low- income customers because the coefficient corresponding to the income variable (incomei) is positive. D) Although the number of flyers (nmaili) positively affects the purchase probability, it is not guaranteed that sending flyers to customers as many as possible maximizes profits.answer the blank please and the "These residuals do not all have the same sign because in the first two observations listed, the observed efficiency ratios were" ty!